DevSecOps – Best DevOps

How to get DevSecOps Foundation Certification?

vijaykr123 — Sat, 14 Jun 2025 05:04:48 +0000

Are you interested in advancing your career in the field of DevSecOps? If so, obtaining the DevSecOps Foundation Certification can be a great way to showcase your skills and knowledge in this rapidly growing field. In this blog article, we will explore the steps you need to take to get certified, providing you with a comprehensive guide to achieving your certification goals.

What is DevSecOps Foundation Certification

The DevSecOps Foundation Certification is a credential that demonstrates an individual’s understanding of integrating security practices into the DevOps process. DevSecOps emphasizes the need for security to be an integral part of the software development and delivery lifecycle, ensuring that security considerations are addressed throughout the development and operations phases. The certification is designed to validate the knowledge and skills required to implement security principles, practices, and tools in a DevOps environment. It aims to bridge the gap between development, operations, and security teams, promoting collaboration and shared responsibility for security.

The DevSecOps Foundation Certification exam covers the following topics:

DevSecOps principles: The exam covers the fundamental principles of DevSecOps, such as security by design, continuous security, and risk-based security.
Security testing: The exam covers the different types of security testing that can be performed throughout the SDLC, such as static analysis, dynamic analysis, and penetration testing.
DevOps tools and technologies: The exam covers the different tools and technologies that can be used to implement DevSecOps practices, such as continuous integration and continuous delivery (CI/CD), infrastructure as code, and containerization.
DevSecOps case studies: The exam covers real-world case studies that demonstrate how DevSecOps has been used to improve the security of software development.

Why DevSecOps Certification is important?

The DevSecOps Certification is important for several reasons, as it addresses the evolving landscape of software development, operations, and security.

The DevSecOps Foundation Training Course by DevOpsSchool is meticulously crafted to equip professionals with the skills and knowledge needed to embed security seamlessly within the DevOps lifecycle. Covering vital areas such as secure coding practices, infrastructure-as-code hardening, SAST/DAST scanning, secrets management, and continuous compliance, the course combines interactive lectures with hands-on labs and real-world case studies. Ideal for developers, security engineers, DevOps practitioners, and IT leaders, it ensures you can safeguard applications and infrastructure without compromising speed or efficiency. Ready to level up your security-first DevOps approach? Learn more and enroll here: DevSecOps Foundation Training Course.

DevSecOps Certification is important for a number of reasons, including:

It demonstrates your skills and knowledge to potential employers: When you are looking for a job in DevSecOps, having a certification can give you a competitive edge over other candidates. It shows that you have a solid understanding of the principles and practices of DevSecOps and that you are committed to continuous learning.
Advance your career in the field of DevSecOps: As you gain experience in DevSecOps, you may want to pursue more advanced certifications, such as the DevSecOps Expert Certification. These certifications can help you to advance your career and take on more senior roles.
Gain access to exclusive resources and events: Many organizations that offer DevSecOps certifications also offer exclusive resources and events to their certified members. This can include access to online courses, webinars, and conferences.
Stay up-to-date on the latest DevSecOps practices: The field of DevSecOps is constantly evolving, so it is important to stay up-to-date on the latest practices. DevSecOps certifications can help you to do this by providing you with the knowledge and skills you need to be successful in the field.
Build your network with other DevSecOps professionals: Attending DevSecOps certification events is a great way to meet other DevSecOps professionals and learn from their experiences. This can be invaluable in your career, as you will be able to network with people who can help you advance your career.

What are the tools need to learn for a strong DevSecOps Foundation?

Building a strong foundation in DevSecOps requires familiarity with a range of tools and technologies that help integrate security into the DevOps process. These tools enable you to automate security practices, identify vulnerabilities, and ensure a secure software development lifecycle.

Here are some of the tools that you need to learn for a strong DevSecOps Foundation:

Monitoring and alerting tools: These tools are used to collect and analyze data about your systems and applications so that you can identify and fix problems before they impact your users. Some popular monitoring and alerting tools include Prometheus, Grafana, and ELK Stack.
Incident management tools: These tools are used to manage incidents when they do occur. They help you to track the incident, communicate with your team, and resolve the issue as quickly as possible. Some popular incident management tools include PagerDuty, VictorOps, and Opsgenie.
Infrastructure automation tools: These tools are used to automate the provisioning, configuration, and deployment of your systems and applications. This can help you to save time and reduce errors. Some popular infrastructure automation tools include Terraform, Ansible, and Chef.
Continuous integration and continuous delivery (CI/CD) tools: These tools are used to automate the build, test, and deployment of your applications. This can help you to release new features and fixes more quickly and reliably. Some popular CI/CD tools include Jenkins, Spinnaker, and CircleCI.
Containerization and orchestration tools: These tools are used to package your applications into containers, which can then be deployed to any environment. This can help you to improve the portability and scalability of your applications. Some popular containerization and orchestration tools include Docker, Kubernetes, and Nomad.

How DevOpsSchool’s is best for DevSecOps Foundation Certification?

DevOpsSchool is a great resource for learning about DevSecOps and preparing for the DevSecOps Foundation Certification exam. If you are serious about becoming a DevSecOps engineer, I highly recommend checking out DevOpsSchool.

Here are some of the reasons why:

Expert instructors: DevOpsSchool’s instructors are experienced DevSecOps professionals who have worked in the field for many years. They can provide you with the knowledge and skills you need to pass the exam and become a successful DevSecOps engineer.
Comprehensive curriculum: DevOpsSchool’s curriculum covers all of the topics that are covered on the DevSecOps Foundation Certification exam. This includes topics such as DevSecOps principles, security testing, DevOps tools and technologies, and DevSecOps case studies.
Practice exams: DevOpsSchool offers practice exams that can help you to assess your knowledge and readiness for the DevSecOps Foundation Certification exam. This is a great way to identify areas where you need to improve before taking the real exam.
Community support: DevOpsSchool has a large and active community of DevSecOps professionals who can provide you with support and advice. This can be invaluable in your studies and career.

DevOps Teams: Automate Container Security to Protect CI/CD Pipelines

anil — Mon, 14 Apr 2025 10:11:25 +0000

Introduction
Why Container Security Matters in CI/CD
Common Security Risks in Containers and CI/CD
Key Principles for Securing CI/CD Pipelines
Automation Strategies for Container Security
Tools and Technologies to Automate Container Security
Best Practices for DevOps Teams
Real-World Use Case
Final Thoughts

1. Introduction

With the rise of DevOps, Continuous Integration/Continuous Delivery (CI/CD) pipelines have become the backbone of modern software development. At the heart of these pipelines are containers—lightweight, portable units that package software and its dependencies together.

However, as the speed of deployment increases, so does the attack surface. Containers, by design, are ephemeral and scalable, but they also introduce unique security challenges. Manual security measures can no longer keep up. This is where automated container security becomes essential.

This guide is a complete blueprint for DevOps teams looking to automate container security across their CI/CD pipelines.

2. Why Container Security Matters in CI/CD

Containers are used to build, test, and deploy applications at scale. While containers offer speed and portability, they also:

Share OS kernels, increasing risk from kernel exploits.
Often use images from public registries, which can be compromised.
Are dynamic and short-lived, making manual security nearly impossible.
Integrate deeply with CI/CD tools, risking widespread damage if compromised.

In a CI/CD environment, a single insecure container can lead to:

Supply chain attacks (compromised base images)
Credential leaks
Unauthorized access to production
Compliance violations

Therefore, securing containers—and automating this security—is no longer optional. It’s a necessity.

3. Common Security Risks in Containers and CI/CD

a. Insecure Images

Images pulled from public repositories may contain known vulnerabilities, malware, or misconfigurations.

b. Secrets in Containers

Hardcoded credentials, API keys, and tokens inside container images pose a significant risk if exposed.

c. Inadequate Isolation

Containers share the host kernel. If improperly configured, one container can escape and affect others.

d. Outdated Base Images

Using outdated images increases the chance of having unpatched CVEs in the container stack.

e. Unvalidated Inputs and Dependencies

Uncontrolled or unscanned libraries may introduce malicious code during build.

f. Weak CI/CD Pipeline Security

Unprotected Jenkins agents, GitHub Actions runners, or GitLab CI configurations are vulnerable to attacks.

4. Key Principles for Securing CI/CD Pipelines

Shift Left Security
Integrate security early in the development lifecycle—from code commit to image build.
Zero Trust Architecture
Assume no service or image is inherently trustworthy.
Policy-as-Code
Define security policies programmatically using tools like OPA (Open Policy Agent).
Immutable Infrastructure
Avoid mutable containers. Rebuild and redeploy instead of patching in place.
Security Observability
Make security events visible to teams using logging and alerting tools.

5. Automation Strategies for Container Security

Here are key areas where DevOps teams should automate container security:

a. Automated Image Scanning

Use scanners like Trivy, Grype, or Anchore to:

Detect known vulnerabilities (CVEs).
Identify outdated packages.
Check for embedded secrets.

Integrate scanners in:

Pre-commit hooks
CI build pipelines
Container registries

b. CI/CD Pipeline Security Gates

Enforce security policies at each stage:

Fail builds with critical CVEs.
Block deployments from unauthorized registries.
Allow only signed images.

c. Secrets Management

Use tools like HashiCorp Vault, AWS Secrets Manager, or Kubernetes Secrets to:

Inject secrets dynamically.
Rotate credentials automatically.
Avoid hardcoding sensitive data.

d. Runtime Threat Detection

Monitor containers post-deployment using tools like:

Falco (open-source runtime security)
Sysdig
Aqua Security

These tools detect suspicious activities like file modifications, reverse shells, or process anomalies.

e. Compliance Automation

Use tools like OpenSCAP, Kube-bench, or Checkov to:

Enforce CIS benchmarks.
Validate compliance with GDPR, HIPAA, or PCI-DSS.
Automate audit trails.

6. Tools and Technologies to Automate Container Security

Purpose	Tool	Description
Vulnerability Scanning	Trivy, Grype, Snyk	Scans container images for CVEs.
Secrets Detection	GitLeaks, Detect-Secrets	Detects secrets in code and images.
Policy Enforcement	OPA/Gatekeeper, Kyverno	Enforce custom security policies in CI/CD and Kubernetes.
Secrets Management	Vault, AWS Secrets Manager	Securely store and inject secrets.
Image Signing	Cosign, Notary	Verifies the origin and integrity of images.
Runtime Security	Falco, Aqua, Sysdig	Real-time detection and response for container anomalies.
Compliance & Benchmarking	Kube-bench, OpenSCAP	Validates infrastructure compliance.

7. Best Practices for DevOps Teams

✅ 1. Use Minimal Base Images

Prefer distroless or Alpine-based images to reduce the attack surface.

✅ 2. Implement Image Provenance

Sign images with tools like Cosign and verify them in CI/CD before deployment.

✅ 3. Restrict Network Access

Define strict network policies (via Calico, Cilium) to prevent lateral movement.

✅ 4. Enable Namespace Isolation

Separate build, test, and production environments using Kubernetes namespaces or separate clusters.

✅ 5. Limit Container Privileges

Avoid running containers as root. Use capabilities and securityContext settings in Kubernetes.

✅ 6. Audit Everything

Enable audit logging for container runtime, CI/CD actions, and registry access.

8. Real-World Use Case: Securing CI/CD for a FinTech Startup

Problem:
A FinTech startup built their app on Kubernetes using GitHub Actions. They used public base images and embedded secrets in CI scripts.

Risks Identified:

Images contained critical CVEs.
Credentials to payment gateways were exposed in logs.
Production containers ran with elevated privileges.

Automated Solutions Implemented:

Trivy scans integrated into GitHub Actions.
Secrets managed using HashiCorp Vault and injected via environment variables.
Cosign used for image signing and verification.
Falco deployed for real-time runtime anomaly detection.
OPA policies enforced no privileged containers.

Outcome:

Reduced vulnerabilities by 80% in three months.
Passed PCI-DSS compliance audit.
Incident response time dropped from 3 hours to 15 minutes.

9. Final Thoughts

Containerization is revolutionizing software development—but without security, it’s a double-edged sword. Manual processes can’t keep up with the scale and speed of modern CI/CD. Automating container security is the only way to ensure continuous delivery doesn’t become continuous risk.

DevOps teams must embrace security as code, automate relentlessly, and adopt tools that make security part of the development culture—not a bottleneck.

💡 Security is not a phase. It’s a mindset baked into every layer of your CI/CD pipeline.

What are the DevOps use Cases?

vijay1 vijay1 — Fri, 31 Jan 2025 13:25:13 +0000

DevOps practices have transformed the way organizations develop, test, and deliver software. By bringing together development and operations teams, DevOps enables automation, collaboration, and continuous improvement throughout the software development lifecycle (SDLC). As companies strive for greater efficiency, faster delivery times, and higher-quality software, DevOps has found applications across a variety of industries.

In this post, we will explore several real-world DevOps use cases, showcasing how organizations are leveraging DevOps to solve specific challenges. Each use case demonstrates the core features and benefits of DevOps in different business contexts.

1. Continuous Integration and Continuous Delivery (CI/CD)

Major Features:

Automated Code Integration and Testing:
- In the CI/CD process, developers frequently commit code to a shared repository. Tools like Jenkins, GitLab CI, and CircleCI automate the process of testing and integrating this code. This ensures that bugs are detected early and code is always in a deployable state.
Faster Time to Market:
- CI/CD enables faster delivery of features and updates by automating the entire process—from coding and testing to deployment. This reduces manual intervention, speeds up release cycles, and allows teams to deliver software faster and more frequently.
Improved Software Quality:
- Through automated testing at every stage, CI/CD pipelines help ensure high-quality software. Continuous feedback loops provide developers with immediate insights on potential issues, which helps maintain high standards of software quality and stability.
Rollback and Recovery:
- In case of a failed deployment, CI/CD tools provide an easy way to revert to a previous stable version, ensuring minimal downtime and quick recovery from issues in production.

2. Microservices Architecture Deployment

Major Features:

Independent Development and Deployment:
- DevOps plays a crucial role in managing microservices architectures. By breaking down monolithic applications into smaller, independent services, DevOps tools like Kubernetes and Docker help teams deploy each service independently.
- This autonomy allows teams to release, update, and scale individual microservices without impacting the rest of the system.
Scalability and Flexibility:
- Microservices architectures managed with container orchestration tools like Kubernetes, allow organizations to scale individual services based on demand, ensuring efficient resource usage and flexible scaling.
Simplified Deployment Process:
- Containerization tools like Docker ensure that microservices run consistently across different environments (development, testing, production). This reduces issues related to environmental discrepancies, making deployment simpler and more reliable.
Improved Fault Isolation:
- In a microservices architecture, if one service fails, it does not take down the entire application. DevOps practices allow for better fault isolation, where individual services can be monitored, scaled, and repaired without affecting the rest of the system.

3. Infrastructure Automation and Provisioning

Major Features:

Infrastructure as Code (IaC):
- DevOps enables automation of infrastructure provisioning through IaC tools like Terraform, Ansible, and AWS CloudFormation. By defining infrastructure in code, teams can provision and manage servers, databases, and networks automatically.
Consistency Across Environments:
- With IaC, infrastructure configurations are stored in version-controlled code, ensuring that environments (development, testing, production) remain consistent. This eliminates configuration drift, where environments become inconsistent over time.
Faster Resource Management:
- IaC allows for rapid provisioning and scaling of infrastructure. Whether for development environments or production systems, DevOps tools automate resource management, enabling businesses to meet fluctuating demand without manual intervention.
Cost Efficiency:
- Automated provisioning and resource scaling help reduce wasted resources. By scaling infrastructure dynamically based on demand, businesses can optimize costs and avoid overprovisioning.

4. Monitoring and Incident Management

Major Features:

Real-Time Monitoring:
- Monitoring tools like Prometheus, Grafana, New Relic, and the ELK Stack (Elasticsearch, Logstash, Kibana) are critical in tracking application performance, resource usage, and infrastructure health. Real-time monitoring allows teams to detect issues early and prevent downtime.
Proactive Incident Detection:
- DevOps promotes a proactive approach to incident detection. By continuously monitoring applications and infrastructure, teams are alerted immediately when something goes wrong. This allows for faster incident response and minimizes the impact of outages.
Automated Alerts and Notifications:
- Automated alerts via tools like PagerDuty or Opsgenie notify teams of critical issues in real time. These notifications can be customized based on severity, ensuring the right team members are alerted to the appropriate incidents.
Root Cause Analysis:
- Continuous monitoring and centralized logging help teams conduct thorough root cause analysis (RCA) when incidents occur. This allows teams to identify recurring issues and take corrective actions to improve system reliability.

5. Security Automation (DevSecOps)

Major Features:

Security as Part of the Development Process:
- DevSecOps integrates security practices directly into the DevOps pipeline. Tools like OWASP ZAP, Snyk, and Fortify help detect vulnerabilities early in the development process, ensuring that security is not overlooked.
Automated Security Scanning:
- Continuous security scanning of code and dependencies ensures that vulnerabilities are detected before they can be exploited. Tools like SonarQube automatically analyze code for security flaws and compliance violations.
Continuous Compliance:
- DevOps tools automate compliance checks to ensure that applications meet regulatory standards. Tools like Chef InSpec and Puppet help ensure that systems are configured according to security policies and remain compliant throughout the lifecycle.
Secrets Management:
- DevOps solutions like HashiCorp Vault provide secure management and storage of sensitive information such as API keys, passwords, and certificates, ensuring that secrets are protected throughout the CI/CD pipeline.

6. Cloud-Native Development and Deployment

Major Features:

Support for Cloud Platforms:
- DevOps practices, combined with cloud-native tools like AWS, Microsoft Azure, and Google Cloud, enable organizations to build and deploy scalable, resilient applications directly in the cloud.
- These platforms provide DevOps tools that integrate with their cloud infrastructure, offering seamless integration for provisioning, monitoring, and deploying cloud-native applications.
Containerization and Serverless Architectures:
- DevOps tools support containerization and serverless architectures, which are essential for cloud-native development. Containers, managed by tools like Kubernetes, enable easy deployment and scaling of applications, while serverless platforms reduce the need to manage infrastructure.
Dynamic Scaling:
- Cloud-native DevOps practices allow businesses to scale applications dynamically based on user demand. With tools like Kubernetes and cloud auto-scaling features, applications can automatically scale up or down in response to real-time traffic patterns.
Efficient Resource Utilization:
- By leveraging cloud infrastructure and DevOps automation, organizations can efficiently manage resources and avoid over-provisioning. This leads to cost savings and improved operational efficiency.

The Versatility of DevOps Use Cases

DevOps has a wide range of use cases that span across industries, from accelerating software delivery and enhancing collaboration to improving security and scaling infrastructure. By integrating DevOps practices into the development and operations lifecycle, organizations can address various challenges, increase operational efficiency, and stay competitive in the digital age.

Whether through automating CI/CD pipelines, deploying microservices, managing infrastructure as code, or ensuring security throughout the SDLC, DevOps empowers teams to deliver high-quality software faster and more reliably. The growing adoption of cloud technologies, containerization, and automation ensures that DevOps will continue to evolve and remain at the forefront of modern software development practices.

How to use DevOps for Security operations?

vijay1 vijay1 — Thu, 30 Jan 2025 09:06:50 +0000

In the modern digital landscape, security is more important than ever. As companies move towards faster deployment cycles and continuous delivery models, security must be integrated into every aspect of the software development lifecycle. Traditional approaches to security, where security practices are implemented separately by a distinct security team, often lead to inefficiencies and vulnerabilities.

DevOps, with its emphasis on collaboration, automation, and continuous integration, is increasingly being used to streamline security operations. This approach, often referred to as DevSecOps, ensures that security is embedded in the development process from the very beginning. This post will explore how DevOps can be used for security operations and the key benefits it brings to an organization’s security posture.

Key Benefits of Using DevOps for Security Operations

Using DevOps for security operations provides several advantages that ensure systems are secure, compliant, and resilient from the outset of the development process.

Key Benefits Include:

Security Automation:
- DevOps helps automate security tasks such as vulnerability scanning, patch management, and security testing.
- By integrating security tools into CI/CD pipelines, security tasks become part of the development process, ensuring that every update is security-checked before deployment.
Faster Incident Detection and Response:
- Continuous monitoring and real-time feedback ensure that security issues are detected as soon as they arise.
- Automated alerting systems notify security teams when threats or vulnerabilities are identified, enabling rapid incident response.
Collaboration Between Development and Security Teams:
- In a traditional model, development and security teams often operate in silos, which can delay security efforts. DevOps encourages collaboration between these teams to address security concerns throughout the development lifecycle.
- By aligning security with development goals, DevOps fosters a culture where security is everyone’s responsibility, leading to faster problem-solving.
Reduced Risk and Compliance Issues:
- Continuous security testing and validation ensure that code vulnerabilities are detected early, reducing the risk of security breaches in production.
- DevOps allows for automated compliance checks to ensure that all systems are in line with regulatory requirements, avoiding compliance issues.
Improved Continuous Monitoring:
- DevOps ensures that systems are continuously monitored for security risks, such as suspicious activity, unauthorized access, or performance anomalies that could indicate a security breach.
- With tools like Prometheus or Datadog, security teams can track key metrics and take immediate action if performance deviates from expected behavior.

Key DevOps Practices for Security Operations

Several DevOps practices can be implemented to enhance security operations. These practices ensure that security is woven into the development process, reducing vulnerabilities and increasing system resilience.

Key DevOps Practices Include:

Continuous Integration and Continuous Delivery (CI/CD):
- CI/CD pipelines automate the integration and delivery of code, which includes running automated security tests as part of the deployment process.
- Security vulnerabilities are detected and resolved before code is deployed to production, ensuring that security flaws are addressed early in the development lifecycle.
Infrastructure as Code (IaC):
- IaC tools like Terraform and Ansible allow security configurations to be codified and version-controlled, making it easier to enforce security policies across infrastructure.
- By treating infrastructure configurations as code, DevOps teams can track changes to security settings and ensure that secure configurations are consistently applied.
Automated Security Testing:
- Security testing, including static analysis, dynamic analysis, and penetration testing, can be automated in the DevOps pipeline.
- Automated tools like Snyk, Checkmarx, and OWASP ZAP can be integrated into CI/CD pipelines to test for vulnerabilities and compliance issues in the code before it is deployed.
Security Monitoring and Incident Response:
- Continuous security monitoring tools such as Splunk, Elasticsearch, and New Relic provide real-time visibility into application and infrastructure security.
- Automated alerts and predefined incident response workflows allow security teams to act quickly when issues are detected.
Shift-Left Security:
- “Shifting left” refers to integrating security practices early in the development lifecycle, rather than waiting until the end of the process.
- DevOps teams implement security testing during code writing and pre-deployment, enabling teams to identify security vulnerabilities as soon as possible.

Tools for Enhancing Security Operations in DevOps

The right tools are essential for ensuring that security operations are efficient and effective. Several tools can be integrated into the DevOps pipeline to automate security checks, provide real-time monitoring, and support incident response.

Key Tools for DevOps Security Include:

OWASP ZAP (Zed Attack Proxy):
- OWASP ZAP is an open-source tool for identifying security vulnerabilities in web applications.
- It can be integrated into the CI/CD pipeline to automatically scan for issues like cross-site scripting (XSS) or SQL injection vulnerabilities.
Snyk:
- Snyk focuses on finding and fixing vulnerabilities in open-source dependencies.
- It can be integrated into the DevOps workflow to continuously monitor dependencies for known vulnerabilities and provide recommendations for remediation.
SonarQube:
- SonarQube is a continuous inspection tool for code quality and security.
- It performs static code analysis and identifies security vulnerabilities, bugs, and code smells, ensuring that the code is both secure and maintainable.
Terraform:
- Terraform allows infrastructure as code, enabling teams to define and provision infrastructure in a secure and automated manner.
- Security configurations, such as firewall rules or access control lists (ACLs), can be codified, ensuring that they are consistently applied.
Splunk:
- Splunk is a widely used tool for security information and event management (SIEM).
- It collects and analyzes security data from multiple sources, providing real-time visibility into network traffic, user behavior, and security incidents.

Automating Security in the CI/CD Pipeline

DevOps aims to automate as much of the development and deployment process as possible, and security is no exception. By automating security checks in the CI/CD pipeline, teams can ensure that every change is security-tested and validated before being deployed to production.

Automating Security in CI/CD:

Automated Security Testing:
- Integrating security testing tools such as OWASP ZAP or Snyk into the CI/CD pipeline allows security tests to be run automatically on every code commit or deployment.
- These tools scan for vulnerabilities, misconfigurations, and compliance issues before the code is pushed to production, preventing security issues from reaching end-users.
Static Application Security Testing (SAST):
- SAST tools like Checkmarx or Fortify analyze source code for security vulnerabilities such as insecure coding practices or known vulnerabilities in libraries and dependencies.
- These tests are automatically run in the CI/CD pipeline to ensure that every code change is free from vulnerabilities before it is deployed.
Dynamic Application Security Testing (DAST):
- DAST tools like Burp Suite and Acunetix scan running applications to detect security vulnerabilities like session management issues, authentication problems, or application logic flaws.
- DAST can be automated in the pipeline to continuously test web applications and APIs for security weaknesses.
Security Policy as Code:
- Security policies, such as network access controls or encryption standards, can be codified into code and applied automatically during deployment.
- Tools like OPA (Open Policy Agent) and HashiCorp Sentinel allow teams to enforce security policies across cloud environments, ensuring that infrastructure is always compliant with security standards.

Continuous Monitoring and Incident Response

Once security practices are integrated into DevOps, continuous monitoring and fast incident response are critical to maintaining a secure environment. DevOps tools can help monitor security metrics and provide immediate alerts for potential threats.

Continuous Monitoring and Incident Response:

Real-Time Monitoring:
- Splunk and Datadog are popular tools that offer continuous monitoring of infrastructure and application security.
- These tools allow teams to track performance metrics, access logs, and detect anomalies, providing the necessary visibility to identify security threats in real-time.
Automated Incident Detection and Alerts:
- Automated alerts notify security teams of potential security incidents such as unauthorized access or suspicious network activity.
- Tools like PagerDuty or Opsgenie integrate with monitoring systems to notify on-call security personnel, ensuring that incidents are addressed immediately.
Security Incident and Event Management (SIEM):
- SIEM tools like Splunk and IBM QRadar aggregate security data, enabling teams to correlate events and identify incidents across the infrastructure.
- SIEMs provide a comprehensive view of security events, helping security teams respond effectively and swiftly.
Automated Remediation:
- Once an incident is detected, DevOps teams can use automation tools like Ansible or Puppet to automatically apply remediation actions.
- These actions might include isolating compromised systems, revoking access permissions, or deploying security patches.

DevOps for Security Operations

Integrating security into DevOps practices—often referred to as DevSecOps—is essential for ensuring that systems are secure from the start of the development process through to deployment and beyond. By embedding security into the CI/CD pipeline, automating security testing, and continuously monitoring systems, organizations can significantly reduce the risk of security breaches and enhance their overall security posture.

With DevOps, security is no longer a bottleneck but an integrated part of the development lifecycle. The collaboration between development, operations, and security teams ensures that vulnerabilities are caught early, incidents are resolved quickly, and systems are consistently secure.

How devops works?

vijay1 vijay1 — Tue, 28 Jan 2025 09:14:13 +0000

Introduction to DevOps: A Modern Approach to Software Development

DevOps is a set of practices, tools, and cultural philosophies that aim to improve collaboration and productivity between software development (Dev) and IT operations (Ops) teams. The goal of DevOps is to shorten the development lifecycle and provide continuous delivery with high software quality. By emphasizing automation, collaboration, and monitoring, DevOps ensures that applications can be developed, tested, and deployed faster, more reliably, and with greater stability.

DevOps integrates the development and operations processes, creating a more efficient workflow that accelerates innovation while minimizing downtime and issues. This post will break down how DevOps works, explore its major features, and explain how it drives improvements across the entire software development lifecycle.

How DevOps Works: The Key Principles

DevOps works by fostering collaboration between development and operations teams, automating manual tasks, and ensuring continuous integration and delivery. These key principles are designed to increase speed and quality while reducing the risks and inefficiencies associated with traditional development processes.

Key Principles of How DevOps Works:

Collaboration Between Teams: DevOps breaks down the silos between development, operations, quality assurance (QA), and security teams, promoting communication and shared responsibility throughout the development and deployment process.
Automation: DevOps emphasizes the automation of repetitive tasks, such as code integration, testing, and deployment. This reduces manual errors, speeds up the development process, and ensures consistent results across environments.
Continuous Integration (CI): Developers frequently commit code changes to a shared repository, where automated builds and tests are run to verify the changes. CI ensures that small, incremental changes are made regularly, reducing the risk of integration issues.
Continuous Delivery (CD): Continuous Delivery extends CI by automatically deploying changes to production or staging environments. With automated testing and monitoring, teams can deliver software updates to users faster and more reliably.
Feedback Loops: Continuous feedback from automated testing, monitoring, and user interactions is used to improve code quality and system performance. This allows DevOps teams to make data-driven decisions and implement changes quickly.

Major Features of DevOps that Drive Efficiency

DevOps works effectively due to its powerful features that enhance collaboration, speed, and software quality. These features are designed to improve every stage of the software development lifecycle, from development to operations.

Key Features of DevOps:

Version Control: DevOps relies heavily on version control systems like Git to manage changes to code, configurations, and infrastructure. This ensures that all changes are tracked, and the codebase remains stable and organized.
Infrastructure as Code (IaC): IaC allows DevOps teams to manage and provision infrastructure through code, automating the setup and configuration of servers, networks, and other resources. This makes infrastructure scalable, repeatable, and easy to manage.
Automated Testing: In DevOps, automated testing is integrated into the CI/CD pipeline to ensure that code changes are thoroughly tested before deployment. This ensures that new features, bug fixes, and updates don’t break existing functionality.
Monitoring and Logging: Continuous monitoring of applications and infrastructure helps teams detect performance issues, bottlenecks, or failures early. Log aggregation tools like Splunk or Elasticsearch help collect and analyze log data in real-time to provide insights and drive faster issue resolution.
Collaboration Tools: DevOps leverages tools like Jira, Slack, and Confluence to enhance communication and collaboration among teams. These tools ensure that everyone is aligned, allowing teams to track progress, manage tasks, and resolve issues efficiently.

The DevOps Lifecycle: Stages and Processes

The DevOps lifecycle consists of several stages that work together to deliver software faster and more reliably. Each stage focuses on collaboration, automation, and continuous improvement to ensure a smooth and efficient workflow.

Key Stages in the DevOps Lifecycle:

Planning: In the planning phase, teams define requirements, objectives, and timelines for the project. DevOps encourages close collaboration between developers, operations, and other stakeholders to align on goals and expectations.
Development: In the development stage, code is written and updated regularly. Developers focus on delivering small, incremental changes that are continuously integrated into a shared repository.
Continuous Integration: Developers commit their code changes to the shared repository, where automated builds and tests are triggered. This ensures that new code works well with existing code and is free from errors.
Continuous Delivery/Deployment: With CD, code is automatically deployed to production or staging environments after passing automated tests. Continuous delivery ensures that updates reach users quickly, while continuous deployment automates the release of features.
Monitoring and Feedback: Once the software is deployed, continuous monitoring provides feedback on its performance, availability, and user experience. This information helps teams improve code quality, performance, and security in future iterations.

DevOps Tools That Enable Effective Execution

DevOps works by integrating a wide range of tools to automate tasks, streamline processes, and improve collaboration. These tools are used throughout the development lifecycle to ensure that the DevOps principles are implemented effectively.

Popular Tools Used in DevOps:

Jenkins: Jenkins is an open-source automation server that is widely used for continuous integration and continuous delivery (CI/CD). It automates the building, testing, and deployment of code.
Docker: Docker provides containerization technology that enables applications to run consistently across different environments. Containers allow DevOps teams to package applications with all their dependencies, ensuring that they work seamlessly in any environment.
Kubernetes: Kubernetes is a container orchestration platform that automates the deployment, scaling, and management of containerized applications. It is widely used in DevOps environments to manage large-scale containerized applications.
Ansible: Ansible is an automation tool used for configuration management, application deployment, and task automation. It enables DevOps teams to automate repetitive tasks and ensure consistency across environments.
Prometheus: Prometheus is a monitoring and alerting toolkit designed for reliability and scalability. It collects and stores metrics, allowing DevOps teams to monitor infrastructure and applications in real-time.

Benefits of DevOps: Why It Works

DevOps works because it helps organizations achieve faster, more reliable software delivery with higher quality and better security. The benefits of DevOps extend beyond just development teams, offering value to operations, security, and business stakeholders as well.

Key Benefits of DevOps:

Faster Time to Market: With continuous integration, automated testing, and continuous delivery, DevOps enables teams to release software faster. This allows businesses to respond more quickly to market demands and customer feedback.
Improved Quality: Through automated testing, monitoring, and continuous feedback loops, DevOps ensures that code is thoroughly tested and free from defects. This results in higher-quality software with fewer bugs.
Increased Collaboration: By fostering collaboration between development, operations, and other teams, DevOps encourages shared responsibility for the entire software lifecycle. This improves communication and helps teams resolve issues more efficiently.
Greater Efficiency: Automation reduces the need for manual tasks, such as deployment and configuration management, improving operational efficiency. Teams can focus on innovation and delivering value instead of spending time on repetitive tasks.
Better Security: DevOps incorporates security into every phase of development, ensuring that security issues are detected early and fixed quickly. This is known as “DevSecOps,” where security is treated as a shared responsibility.

How DevOps Transforms Software Development

DevOps works by fostering collaboration, automating processes, and enabling continuous integration and delivery. By improving the way teams work together, automating key tasks, and providing real-time feedback, DevOps drives faster, more reliable, and higher-quality software delivery. Its emphasis on collaboration, continuous monitoring, and automated testing ensures that services are delivered with better performance, security, and user satisfaction.

As DevOps practices continue to evolve, organizations that adopt this methodology can achieve a competitive advantage, driving innovation and ensuring that they can rapidly meet customer demands. Whether you’re a developer, an operator, or a business stakeholder, understanding how DevOps works is crucial to harnessing its full potential for modern software development.

How DevOps and devops can be implemented together?

vijay1 vijay1 — Tue, 28 Jan 2025 06:49:13 +0000

DevOps and DevSecOps can be implemented together by integrating security practices seamlessly into the DevOps lifecycle, ensuring security is a shared responsibility across development, operations, and security teams. DevOps focuses on automating and streamlining collaboration between development and operations to deliver software faster and with higher quality. By adding DevSecOps, security becomes a built-in component rather than an afterthought, leveraging automated tools for vulnerability scanning, code analysis, and compliance checks at every stage of the CI/CD pipeline. This holistic approach enhances software reliability and security while maintaining the agility and speed of DevOps processes. To achieve this, organizations must foster a culture of collaboration, invest in the right tools, and provide continuous training to align teams on both DevOps and security best practices.

Understanding DevOps and DevSecOps

Before delving into their integration, it’s crucial to comprehend the core principles of DevOps and DevSecOps:

DevOps: Emphasizes collaboration between development and operations teams to automate and accelerate the software delivery process.
DevSecOps: Integrates security practices into the DevOps pipeline, ensuring that security is a shared responsibility throughout the software development lifecycle.

By understanding these foundations, organizations can better strategize on merging these practices effectively.

Key Strategies for Integrating DevOps and DevSecOps

To successfully implement DevOps and DevSecOps together, consider the following strategies:

Foster a Security-First Culture: Cultivate an organizational mindset that prioritizes security in every task, from software development to business operations. Palo Alto Networks
Automate Security Testing: Implement automated security tests within the CI/CD pipeline to identify vulnerabilities early without hindering development speed. Aqua Security
Continuous Monitoring: Establish real-time monitoring to detect and respond to security threats promptly, maintaining system integrity.
Collaborative Training: Provide joint training sessions for development, operations, and security teams to ensure a unified understanding of security protocols and best practices.
Implement Secure Coding Practices: Adopt coding standards that emphasize security, reducing the risk of vulnerabilities in the codebase.

Benefits of Integrating DevOps and DevSecOps

Combining these methodologies offers several advantages:

Enhanced Security Posture: Proactively addresses security concerns, leading to more robust and secure applications.
Faster Time-to-Market: Streamlined processes and automated security checks accelerate the development cycle.
Improved Collaboration: Breaks down silos between teams, fostering a culture of shared responsibility and open communication.
Cost Efficiency: Early detection of security issues reduces the cost associated with late-stage vulnerability fixes.

Challenges and Solutions

While integrating DevOps and DevSecOps presents challenges, they can be mitigated with appropriate strategies:

Resistance to Change: Overcome by promoting a culture that values security and continuous improvement.
Tool Integration: Select compatible tools that facilitate seamless integration of security into the DevOps pipeline.
Skill Gaps: Address through targeted training programs to equip teams with necessary security competencies.

How Devops use cases in Healthcare?

vijay1 vijay1 — Mon, 27 Jan 2025 06:54:01 +0000

In healthcare, DevOps integrates software development and IT operations to enhance patient care and operational efficiency. By automating processes through continuous integration and delivery, healthcare organizations can swiftly implement digital solutions like telehealth platforms and patient portals, leading to improved patient engagement and satisfaction. DevOps also ensures compliance with stringent healthcare regulations by embedding security measures throughout the development lifecycle, safeguarding sensitive patient data. Additionally, it fosters collaboration among cross-functional teams, streamlining workflows and reducing errors, which is crucial in delivering timely and effective healthcare services.

Understanding DevOps in Healthcare

DevOps, a blend of “Development” and “Operations,” is a methodology that emphasizes collaboration, communication, and integration between software developers and IT operations. In the context of healthcare, DevOps aims to streamline the software delivery process, ensuring that applications are developed, tested, and deployed rapidly and reliably. This approach is particularly crucial in healthcare, where timely access to accurate information can significantly impact patient outcomes.

Benefits of Implementing DevOps in Healthcare

Enhanced Collaboration and Communication: DevOps fosters a culture of collaboration between development, operations, and healthcare professionals. This synergy ensures that software solutions are aligned with clinical needs, leading to more effective and user-centric applications.
Accelerated Delivery of Services: By automating processes and implementing continuous integration/continuous deployment (CI/CD) pipelines, healthcare organizations can reduce the time required to develop and deploy applications. This agility allows for quicker responses to regulatory changes and evolving patient needs.
Improved Quality and Reliability: Automated testing and monitoring ensure that applications are thoroughly vetted before deployment, reducing the likelihood of errors and enhancing system reliability.
Scalability and Flexibility: DevOps practices enable healthcare systems to scale efficiently, accommodating increasing patient data and user demands without compromising performance.
Enhanced Security and Compliance: Integrating security measures throughout the development process (DevSecOps) ensures that applications comply with healthcare regulations such as HIPAA, safeguarding patient data.

Key Use Cases of DevOps in Healthcare

Electronic Health Records (EHR) Management: Maintaining and updating EHR systems is a complex task. DevOps streamlines the development and deployment of EHR software, ensuring that patient records are up-to-date and secure. Frequent updates can address regulatory changes and improve usability. Healthcare – Mindbowser
Telemedicine and Remote Monitoring: With the rise of telehealth, continuous updates to telemedicine platforms are essential. DevOps enables rapid feature development and bug fixes, ensuring a seamless and secure experience for patients and healthcare providers. Healthcare – Mindbowser
Medical Device Integration: Hospitals rely on various medical devices; integrating them into the healthcare network can be complex. DevOps practices can help automate software testing and deployment for these devices, ensuring they work seamlessly and adhere to safety standards. Healthcare – Mindbowser
Healthcare Mobile Applications: Mobile apps for appointment scheduling, medication reminders, and health tracking require frequent updates. DevOps facilitates the quick rollout of new features and security enhancements, improving patient engagement. Healthcare – Mindbowser
Clinical Decision Support Systems (CDSS): CDSS provide healthcare professionals with real-time patient information and treatment recommendations. DevOps supports rapid updates and improved algorithms, enhancing patient care and safety. Healthcare – Mindbowser

Steps to Implement DevOps in Healthcare

Continuous Planning: Begin by evaluating operational and development activities, aligning them with DevOps principles. Assess technical resources, security policies, and budget allocations. Engage stakeholders to define clear objectives and expectations.
Version Control Implementation: Utilize version control systems to manage code repositories, allowing developers to track changes and collaborate effectively. Tools like Git facilitate streamlined development processes.
Continuous Integration (CI): Regularly merge code changes into a central repository, followed by automated builds and testing. CI tools ensure efficient code management and early detection of issues.
Automated Testing: Implement automated testing frameworks to validate code changes continuously. This approach ensures that new features do not introduce regressions and that the application remains robust.
Continuous Deployment (CD): Automate the release process to deploy applications into production seamlessly. CD ensures that software updates are delivered to users promptly, enhancing the ability to respond to user feedback and changing requirements.
Monitoring and Feedback: Establish comprehensive monitoring to track application performance and user interactions. Collect feedback to inform future development cycles, ensuring that the application evolves to meet user needs.

Challenges and Considerations

While DevOps offers numerous benefits, healthcare organizations must navigate challenges such as:

Regulatory Compliance: Ensuring that all processes and applications comply with healthcare regulations requires meticulous attention and continuous monitoring.
Cultural Shift: Transitioning to a DevOps culture necessitates changes in organizational mindset, encouraging collaboration and breaking down traditional silos.
Security Concerns: Integrating security throughout the development process is crucial to protect sensitive patient data and maintain trust.

How DevOps Can help in cybersecurity?

vijay1 vijay1 — Mon, 06 Jan 2025 11:42:00 +0000

In today’s rapidly evolving digital landscape, integrating cybersecurity into every phase of software development is crucial. DevOps, which combines development and operations, has transformed software delivery by enhancing speed and collaboration. However, the traditional DevOps approach often overlooks security, leading to the emergence of DevSecOps—a methodology that embeds security practices within the DevOps process.This integration ensures that security is a shared responsibility, enhancing the overall security posture of organizations.

Understanding DevSecOps

DevSecOps extends the principles of DevOps by incorporating security measures throughout the software development lifecycle. Instead of treating security as an isolated phase, DevSecOps integrates it into continuous integration and continuous delivery (CI/CD) pipelines, promoting a culture where security is everyone’s responsibility. This proactive approach helps in identifying and mitigating vulnerabilities early in the development process, reducing risks and enhancing compliance.

Benefits of Integrating DevOps and Cybersecurity

Early Detection of Vulnerabilities: By embedding security into the development process, teams can identify and address vulnerabilities during the early stages, reducing the likelihood of security breaches.
Accelerated Software Delivery: Integrating security measures into DevOps workflows streamlines processes, allowing for faster and more secure software releases.
Improved Collaboration: DevSecOps fosters collaboration among development, operations, and security teams, breaking down silos and promoting a unified approach to security.
Cost Efficiency: Addressing security issues early in the development cycle is more cost-effective than post-release fixes, leading to significant savings.
Enhanced Compliance: Continuous monitoring and automated compliance checks ensure adherence to industry standards and regulations.

Implementing DevSecOps: Best Practices

Automate Security Testing: Incorporate automated security tools within the CI/CD pipeline to perform regular scans and tests, ensuring continuous security validation.
Continuous Monitoring: Implement real-time monitoring to detect and respond to security threats promptly, maintaining system integrity.
Security Training: Provide regular training for development and operations teams to keep them updated on the latest security practices and threat landscapes.
Adopt a Zero Trust Model: Implement the principle of least privilege and enforce strict access controls to minimize potential attack surfaces.
Regular Audits and Compliance Checks: Conduct periodic security audits and ensure compliance with relevant regulations to maintain a robust security posture.

Challenges in Integrating Security into DevOps

While the benefits are substantial, integrating security into DevOps presents challenges:

Cultural Resistance: Shifting to a security-focused mindset requires cultural change, which can encounter resistance within teams.
Tool Integration: Selecting and integrating appropriate security tools that align with existing DevOps workflows can be complex.
Skill Gaps: Ensuring that all team members possess the necessary security expertise demands ongoing training and development.

DevOps, SRE & DevSecOps

anil — Fri, 23 Sep 2022 19:19:28 +0000

What is DevOps?

DevOps approach combines the skillsets of developers and IT operation engineers across software development and IT operations.
The following principles are important for a DevOps approach:

Create Autonomous, Cross Functional Teams.
Continuous Learn.
Automate Everything.
Foster Collaboration.
Customer Centric.
Continuous Improvement.
End-to-End Ownership

DevOps Tools:

A DevOps pipeline engineer needs to have a vast knowledge of tooling at all stages of the pipeline. The following diagram shows many of the tools available at various stages of the pipeline:

What is SRE?

In general, an SRE team is responsible for the availability, latency, performance, efficiency, change management, monitoring, emergency response, and capacity planning of their service(s).
SRE is fundamentally doing work that has historically been done by an operations team, but using engineers with software expertise, and banking on the fact that these engineers are inherently both predisposed to, and have the ability to, design and implement automation with software to replace human labor.

DevSecOps:

In DevSecOps, the developer must involve themselves with operation and security teams in the early stages of design and development processes to facilitate secure applications.

DevOps Vs SRE Vs DevSecOps:

DevOps and DevSecOps follow a blameless culture approach where every mistake is a learning opportunity. Instead of making the system fault-proof, DevOps culture focuses on a fault-tolerant approach. DevOps and DevSecOps basically deal with the pre-failure situation.

On the other hand, SRE methodology practices a blameless postmortem approach wherein every time failure occurs, the blameless postmortem approach identifies what caused the fault and finds ways to avoid it in the future. SRE basically deals with the post-failure situation.

Nurudeen Popoola – Day 1 – What is DevOps and compare with SRE and DevSecOps?

Nurudeen Popoola — Fri, 22 Jul 2022 15:59:32 +0000

1. DevOps stands for Combination of development and operation teams.

2. DevOps is meant to reduce the friction between development and operation teams in order to reduce time to market for application and to improve overall customer success.

3. DevOps tools include:

Linux
Git and GitHub
Maven
Jenkins
Docker
Kubernetes
Terraform

4. DevOps’s main objective is to reduce friction between development and operation team members for faster application release. SRE is a software approach to solving engineering problems by ensuring system stability, reliability, and availability.

5. DevSecOps is a software Development approach that put security management into perspective during the development process. It is a combination of 3 teams – Development, Security, and Operation.

Top 10 IT certifications to boost your career in 2022

prince k — Wed, 29 Dec 2021 08:04:21 +0000

As IT is a vast and growing sector, it always demands skillful professionals with some certifications on their related tools or working courses that give a great advantage to both organizations and professionals. A Certification can give you more skills that can boost your resume and career as well that can offer you more lucrative salaries and opportunities. Certifications have always been playing a key role to increase the value of your skills and getting an advantage in getting a job in your particular desired domain.

Some IT certifications.

Master in DevOps engineering – As DevOps has beaten all the traditional SDLC processes, it has become a more demanding and favorite process.

It has been seen DevOps is growing market day by day and it will be continued in upcoming years as well. This master certification is really important as it offers to learn all the open-source major toolsets which can boost your knowledge as well as career.

So do check this certification as it is still in demand and is continuously growing and offers a good salary package.

Site reliability engineering (SRE) – SRE is founded byGoogle Company and also works the same as DevOps, but the only difference is the main focus of SRE is to enhance the reliability and better performance of applications, with automation and continuous integration and delivery.

SRE has also earned its value in the market and come in demand. It has also toolsets like DevOps to automate their work. You can learn everything during the certification of SRE. As per the 2021 report, 22% of organizations have adopted SRE, and it is expecting more growth in 2022.

DevSecOps – The main focus of DevSecOps is security but it stands for all development, security, and operations.

It believes security is everyone’s priority. Everyone should work by keeping security in mind, so the security level won’t compromise.

DevSecOps certifications are essential as the security of software is very important.

This certification will teach you the way to keep the security in all the parts of work and how security matters when it comes to deployment in the market.

It takes the responsibility to save the software from all the loopholes and people like hackers as much as possible. It also has its toolsets to automate the work and to remove manual errors. It is also achieving very nice growth and it will be continued in 2022 as well.

Docker and Kubernetes – Docker and kubKubernetesth are essential to each other as Docker is a container and Kubernetes is the management tool of those containers. That’s why both certificates are necessary if you thinking to do one. Some company uses Docker Swarm instead of Kubernetes. Both works are the same but the thing is most of the companies prefer Kubernetes, so go with this. Kubernetes is vaster than Docker Swarm. As both had images in the market it is certain both the tools will keep continuing their growth in the market and also both are important to the DevOps process, so yes it comes under important IT certification of 2022.

Artificial Intelligence for IT Operations (AIOPS) –

AIOPS is the application of AI, machine learning, natural language processing, etc to traditional IT Ops activities and tasks. AIOps combine big data and machine learning to automate IT operations processes, which comprises event correlation, anomaly detection, and causality determination.

It is hard to manage today’s dynamic and constantly changing IT environments with yesterday’s tools. Microservices and containerization make it necessary to modernize. The evolution of IT infrastructure is a must. So the certification of AIOPS is also important because AIOPS is in trend and we can see this in 2022 as well.

Gitops –

GitOps is a method to manage infrastructure and application configurations using Git. GitOps is built around the developer experience and help teams in managing infrastructure using the same tools and processes they use for software development.

Gitops certification enables you to leverage so many benefits like:-

Enhance developer productivity

An enhanced version experience for DevOps teams

Reduce failed deployments

Recover from outages quickly

Mlops –

MLOps certification is a set of practices that intends to deploy and maintain machine learning models in production.

MLOps allow the continuous delivery of high-quality ML applications into production at scale.

MLOps is the communication between data scientists and the operations team. It is deeply collaborative and designed to eliminate waste, automate as much as possible, and produce more richer and consistent insights through machine learning. Machine learning is a game-changer for business as its environment is changing from manual to automation.

MLOps have all the capabilities that are required from data science, product teams, and IT to deploy, operate, govern, and secure models in production. It comprises the following components that enable an automated ML pipeline as well that maximizes your ML performance and ROI:

Model serving and pipelining

Model service catalog(s) for all models in production

Model version control

Infrastructure management

Monitoring

Security

Governance

Connections with all data sources and best-in-class tools for model training, development, infrastructure, and compliance.

Artificial intelligence (AI) –

Artificial intelligence is a program that is designed to work like human brains such as thinking, learning, making decisions on their own.

Artificial intelligence has been introduced in 1956 at a conference by John McCarthy and this is the first person who thought about artificial intelligence. That’s why we call him the father of AI.

As per the report, it will be approx 58 million job roles in the AI sector in 2022. So AI is present as well as future because we are already using AI technologies like Alexa, Siri on iPhone, etc.

DataOps –

DataOps is designed to solve problems organizations challenges associated with inefficiencies in accessing, integrating, and making data available. It is an orchestration of people, processes, technology to deliver high-quality data to his data citizens fast. DataOps is focused on collaboration to deliver agility, speed, and new data initiatives at scale.

DataOps has 3 objectives –

Know your data

Trust your data

Use your data

This course is part of the Data Engineering Specialization which provides learners with the specialized skills required to be a Data Engineer. It has been estimated millions of jobs will be discovered in 2022 for this role as it is in demand. So its certification is going to play an important role for the complete knowledge and to get a job at good organizations.

Machine learning – Machine learning is a kind of intelligence of system to learn things without taking human help. It is an important part of artificial intelligence to use as a brain that uses data and algorithms to learn new things as well as take decisions.

The Machine Learning certification will help you to master the skills required to become an expert in this domain. Master skills such as Python, ML algorithms, statistics, supervised and unsupervised learning, etc. to become a successful professional in this popular technology.

As the market is changing it has been seen vast growth in this field. In 2022 as well as in the rest of the upcoming years a machine learning will dominate the market.

Training Place

I would like to tell you about one of the best places to get trained and certification in DevOps, DevSecOps, and SRE courses is DevOpsSchool. This Platform offers the best trainers who have good experience in DevOps and also they provide a friendly eco-environment where you can learn comfortably and free to ask anything regarding your course and they are always ready to help you out whenever you need, that’s why they provide pdf’s, video, etc. to help you.

DevOpsSchool is one of the best platforms which provides good training as well as a free atmosphere where you get so many benefits to learn.

They also provide real-time projects to increase your knowledge and to make you tackle the real face of the working environment. It will increase the value of yours as well as your resume. So do check this platform if you guys are looking for any kind of training in any particular course and tools.

What are the Best Resources to Learn DevOps, DevSecOps, and SRE?

prince k — Wed, 24 Nov 2021 08:04:46 +0000

Definitions:

DevOps – DevOps is the change in culture and practices of the SDLC process which enable the organization to produce high-quality software and continuously deliver the software. It has been originated from two words, Dev and Ops. DevOps has some phases through which it works. DevOps is the collaboration between development and operation teams to ensure continuous integration, development, test, deployment, and monitor. After DevOps came the development and operation team is no longer working as ‘siloed’. DevOps is much better and faster than any other traditional model in the current era because it has removed the vulnerabilities between culture ad practices which was stopping other organizations to keep up with the time which was demanding a faster and reliable process.

DevSecOps – DevSecOps is for development, security, and operations. Its main motto is to make every employee working under a project consider security policies also important like other works, so the product will be saved. DevSecOps is all about security measures from the development phase to the monitor phase. Organizations can implement DevSecOps to break down silos between development, security, and operations so they can maintain the proper security over their products. DevSecOps uses some security testing tools to integrate into their CI/CD process like –
⦁ Static application security testing (SAST)
⦁ Software composition analysis (SCA)
⦁ Interactive application security testing (IAST)
⦁ Dynamic application security testing (DAST)

SRE – SRE has been originated from google company. SRE’s main aim is to solve the operational problems right from testing to monitoring software when it is deployed in the market. The main focus of creating it was to remove the vulnerabilities of operation parts to make the product effective and reliable. It removed the ‘silos’ from all departments and made the operation teams work together to produce an efficient product, e.g – Somewhere you might have experienced you have never felt any downtime (the app is not working properly) on your Google apps even when Google teams are pushing updates over that particular app. This is like the SRE team works making your apps more trustworthy without making you feel any disturbance. SRE works with the collaboration of software engineers. SRE somewhere automates Its operation tasks and accelerate software delivery with minimizing risks.

Best Resources to Learn DevOps, DevSecOps, and SRE.

There are some resources where you can learn about all three of them is Youtube, Blogs, platforms that provide certifications, Fb Group, etc. I am going to share some of the channels and place them.

Youtube – These are some Youtube channels Devopsschool, Debug.school, and artificial intelligence universe, where you can learn DevOps, DevSecOps, SRE. Here you will get videos frequently. You can expand your knowledge here because the videos which are uploaded here are directly from our classes where some students like you would be learning at that time. There are so many video’s has been uploaded till now related to this course. These channels have been made only for DevOps and their tools-related courses, So these channels are really helpful to learn DevOps, DevSecOps, and SRE-related topics and tools. We have premium membership as well that you can buy every month where you can get your questions answered on daily basis as well as you can get access to a full playlist of DevOps-related tools like Docker, Kubernetes, Python Etc, which you can get normally in youtube. This facility is only for a premium membership program.

Fb groups – This is the FB Group DevOpsSchool where you can get the details related to DevOps, DevSecOps, and SRE. Here we upload the contents related to courses and some knowledgeable things and other important information which can expand your knowledge as well as keep you aware related to DevOps, DevSecOps, and SRE. It’s a very important place which will not make you feel regret. DevOps India is having fun on this platform with more than 5000 members in very little time. This is a public group from all over the world who are interested in DevOps. It proactive and updated group which posts, share, comments daily. It has a strict rule not to promote any advertisement, it’s completely focused on updates, sharing information, and discussion about the topics. You can see almost all participants participate in comments to share their views, even though you can find a job as well where recruiters post their vacancies here.

Blogs – https://www.thedataops.org/what-is-devops-life-cycle/, https://www.scmgalaxy.com/tutorials/what-are-devops-devsecops-and-sre-and-differences-among-them/, https://www.aiuniverse.xyz/software-development-lifecycle-sdlc-beginners-guide/ these are three blogs link where you can get some DevOps, DevSecOps, and SRE knowledge as well as differences between them. So do check these blogs, it will help you more to understand all three of them. And also you can visit our BestDevops blog website where you will several blogs related to DevOps. Blogs have always been an important part of our learning that expands our knowledge in desired topics. So always be connected to these blogs if you are seeking knowledge. A blog is always written after seeing so much information in several places, so Blogs are really important to read because you might get that information that you can’t get anywhere else. It has always been seen google plays a much important role than any other platform, that’s why Google always tries to give you the actual and correct information to help you out. So do check the Blogs.

Websites – These are the websites of an institute DevOpsSchool, ScmGalaxy where you can get the details of the complete course related to DevOps, DevSecOps, and SRE. Also, you will get a tutorial tab that has been made to help participants with DevOps-related issues which can be accessed without any charges. DevOpsSchool provides training and certification for all three of them. This Platform is one of the best platforms in the world which provides training all over the world and has made some carriers as far now in DevOps. Some of the places where it provides the training are Hyderabad, Bangalore, London, Amsterdam, Mumbai, Singapore, San Francisco, Europe, Australia, etc. DevOpsSchool provides online and also offline classes to their students just to help them according to their comfortability. There are so many tabs on this website through you can do so many things like Solutions, classes, etc. You can contact us through this website as well that is of course to help you guys with your issues. Through this website you can request to become a trainer, a trainee or can get training for your employees as a company or consulting firm.

Certification – There are some certifications to enhance your skills and knowledge about DevOps, DevSecOps, and SRE. The certifications are – Master in DevOps Engineering (MDE) – Including DevSecOps and SRE , DevSecOps Certified Professional Online Training, Site Reliability Engineering (SRE) Certified Professional Training. There are several topics will be covered in these certifications as well as you will be provided real-life-based projects which will boost your carrier also it will be more helpful for your knowledge and resume. DevOpsSchool offers a more friendly and comfortable environment where you can free to ask anything related to topics and our trainers are ready to help you all the time with PDFs, video calls, and many more. For those persons who want to build their carrier in DevOps, these certifications are very important as they not only provide the knowledge they improve your skills with real-life-based projects as well. So get it if you want to become a professional on DevOps.

Best DevOps – This is a website where updates come daily related to DevOps and other technologies like what’s happening with that specific technology or DevOps right now, what updates have come, how to use that Etc. This is the place from where you can be the first to get the latest news. BestDevOps is a platform of DevOps updates and news where you can read about DevOps-related updates, events, news, tutorials, tips, and much more. Through the contents which have been uploaded here, you will be helped a lot if you are a DevOps enthusiast. Just be with this platform and you will be up to date on regular basis. We have gathered all the blogs from different companies, different country and experts of DevOps in one place just to help you guys. BestDevOps is the DevOps portal for a website that covers a broad range of areas in DevOps.

I hope this list will help you out to connect and hear from DevOps professionals who provided information about everything DevOps-related you needed to know.

Conclusion

In this blog, we discussed the Definitions of DevOps, DevSecOps, and SRE and the resources through which you can learn about all three of the courses. The above-given resources are very important to you guys because all are important channels to learn about DevOps, DevSecOps, and SRE. You can learn DevOps from all the resources free of cost but only DevOpsSchool is the channel where you can go for the certification in any specific tools or courses.

Training Place

DevOpsSchool is a very important platform to get trained as it is one of the best platforms and to get trained from the best ones is how feels only a trained person can say. So do check it once if you are looking for certification and to boost your carrier. you can learn more from the above-described details.

Dynatrace Applies AI to Surface App Vulnerabilities

anil — Sat, 26 Jun 2021 07:00:09 +0000

Source:-https://devops.com/

Dynatrace has added a security module to its observability platform that leverages its Davis artificial intelligence (AI) engine to automatically identify the software libraries and open source packages that represent the greatest security risk.

Ajay Gandhi, vice president of product marketing for Dynatrace, said the Davis Security Advisor, made available as part of the Dynatrace Application Security Module, makes it easier for IT teams understand which vulnerabilities need to be remediated first.

Davis Security Advisor aggregates vulnerability data in real-time and prioritizes remediation based on number of vulnerabilities, severity, impact to sensitive data, public exposure, how widely known the vulnerability is, and whether the code impacted is facing the Internet. That approach enables Davis Security Advisor to monitor all software libraries used in preproduction and production environments in a way that sharply reduces the number of false positives that would otherwise be generated, noted Gandhi.

As application environments become more complex—in part due to increased adoption of microservices that have lots of dependencies—it’s become impossible for IT teams to implement DevSecOps best practices in workflows without some form of AI augmentation, added Gandhi.

In fact, a recent Dynatrace survey found 89% of chief information security officer (CISOs) noted cloud-native architectures and container runtime environments, used primarily to construct microservices, have made it more difficult to detect and manage software vulnerabilities.

In theory, application developers are taking more responsibility for remediating security vulnerabilities within their applications. The challenge is they often inadvertently use an older version of a library that has known vulnerabilities. Hopefully, that issue gets addressed before an application gets deployed. There are, however, plenty of cases where, for one reason or another, a library with known vulnerabilities gets deployed anyway.

Making matter more challenging, many vulnerabilities are discovered after an application has been deployed. Developers don’t always have access to a software bill of materials that would make it easier to determine what libraries have been employed in what application or, for that matter, which libraries are dependent upon one another.

Gandhi said the Davis Security Advisor resolves that issue by employing machine learning algorithms, trained by Dynatrace, to identify those potential security issues. Once identified, the updates that need to be made can then be slipstreamed into a DevOps workflow.

Analyzing code for vulnerabilities is, of course, not a new idea. Training an AI model to perform that task on behalf of DevOps teams does promise to greatly accelerate the process at a time when organizations are under more pressure than ever to secure their software supply chains in the wake of a series of high-profile breaches.

It’s just not clear yet who inside organizations might drive adoption for AI platforms capable of identifying vulnerabilities in a way that helps prioritize remediation efforts. In some cases, cybersecurity teams have a vested interest in reducing the number of potential security incidents.

The one thing that is apparent is shipping insecure code faster only leads to more negative outcomes. There may not be such a thing as a ‘great’ application that happens to be insecure. Instead, the assumption will be that any application with known vulnerabilities, no matter how great, are too flawed to be deployed given all the security risks most businesses currently face.

Zettaset Announces Availability of XCrypt Kubernetes Encryption on the VMware Marketplace

anil — Sat, 26 Jun 2021 06:16:24 +0000

Source:-https://www.streetinsider.com/

SAN FRANCISCO–(BUSINESS WIRE)– Zettaset a leading provider of data protection solutions, today announced that XCrypt Kubernetes Encryption is available on the VMware Marketplace.

VMware Marketplace enables customers to discover and deploy compatible, validated third-party solutions to VMware environments. Once validated, partners can easily publish their solutions for VMware customers across platforms. Customers will be able to access these third-party partner solutions directly from their cloud environments, while also being able to experience the convenience of features such as notifications, reporting, and analytics.

According to a recent study from the Cloud Native Computing Foundation (CNCF), 78% of organizations leverage Kubernetes within their environments. The rapid adoption of containerized environments has created new data protection challenges that security teams need to address. Zettaset’s XCrypt Kubernetes Encryption product is a first-of-its-kind, software-defined encryption solution that protects data-at-rest across Kubernetes environments. The solution provides a transparent, high performance layer of security that protects customers’ data no matter where it is stored, helping organizations efficiently transition from DevOps to DevSecOps.

“Leading organizations are finding that integrating security into the technologies and processes required to power DevOps cultures is a difficult and complex task to accomplish,” said Tim Reilly, CEO of Zettaset. “With our XCrypt Kubernetes Encryption solution, customers are able to expand their data protection efforts to containers with ease. This enables them to move at the speed required for innovation, without worrying about the security of their data within these new environments.”

“We are pleased to see Zettaset’s XCrypt Kubernetes Encryption on the VMware Marketplace,” said Ramya Sarangarajan, Director, Product Marketing and Strategy, VMware. “Validated technologies, such as XCrypt Kubernetes Encryption, enable our customers to build, run, manage and secure their applications effectively and efficiently. We’re excited to work with partners such as Zettaset to empower customers to derive the most value from their technology investments.”

Zettaset

Zettaset is a leading provider of data protection solutions. Its software-defined encryption solutions can be transparently deployed across all physical and virtual enterprise environments. Unlike traditional solutions that are appliance-based, Zettaset is a cost-effective, software-only solution that is easy to deploy, does not impact performance, and scales with your business from on premise to the cloud,

GitLab Updates Approach to Integrating DevOps Workflows

anil — Wed, 23 Jun 2021 06:53:29 +0000

Source:-https://devops.com/

GitLab today took the wraps off a major update to its continuous integration/continuous delivery (CI/CD) platform that embeds analytics tools in workflows to identify the root cause of inefficiencies, among other additional capabilities.

David DeSanto, senior director for product management at GitLab, said that capability is part of an ongoing effort to include value stream analytics within the core GitLab 14 platform as an alternative to acquiring and deploying a separate platform. There are also additional charts and dashboards that enable DevOps teams to uncover bottlenecks over time.

In addition, GitLab announced it is extending the security capabilities of the platform by adding integrations with open source Semgrep and Trivy vulnerability scanning tools as part of an effort to enable organizations to embrace DevSecOps best practices within workflows. GitLab has also added support for the fuzz testing tool it gained via the acquisitions of Fuzzit and Peach Tech to enable DevOps teams to test application security more thoroughly along with making available additional dashboards to track security metrics.

As part of an effort to enable organizations to better secure their software supply chains, GitLab has also added support for immutable pipeline definitions that can’t be altered without specific levels of permissions being granted. That capability also enables DevOps teams to more easily achieve compliance with any number of regulatory frameworks, noted DeSanto.

The company is also adding a pipeline editor that provides access to a visual tool for creating, managing and visualizing pipelines. That tool is designed to both make DevOps more accessible to novices and provide experienced DevOps teams with an alternative tool for managing pipelines in a way that doesn’t require them to write additional code.

Finally, as part of its comprehensive approach to DevOps, GitLab is also making available agent software for Kubernetes clusters to eliminate the need for organizations to acquire a separate DevOps platform to build and deploy cloud-native applications based on microservices constructed using containers. The company now provides IT organizations with the option of crafting a GitOps workflow for Kubernetes using either an agentless or agent-based approach.

Gitlab is betting that, as DevOps continues to evolve and mature, more organizations will prefer to replace the various tools they need to integrate themselves with a platform that lowers the total cost of DevOps. Gartner is forecasting that, by 2023, 40% of organizations will have switched from multiple point solutions to a DevOps value stream delivery platform to streamline application delivery, versus less than 10% using such a platform in 2020. Today, only 10% of organizations are employing such a platform, according to Gartner.

There should also be many more organizations employing DevOps workflows to build applications. Organizations of all sizes now realize how dependent they are on software to drive a wide range of digital business transformation initiatives. The rate at which that software can now be securely developed and updated, in many cases, goes to the heart of their ability to compete. The issue is finding a way to achieve that goal without constructing a platform that ultimately takes time and resources away from building secure software.

Accurics Unveils GitLab Static Analysis Integration To Contextualize Risk Across The SDLC

anil — Tue, 15 Jun 2021 06:26:36 +0000

Source:-https://www.businesswire.com/

PLEASANTON, Calif.–(BUSINESS WIRE)–Accurics, the cloud cyber resilience specialist, today announced a technology partnership with GitLab, a single application for the DevOps lifecycle, as well as the general availability of its integration with GitLab’s Static Application Security Testing (SAST) solution. Accurics leverages the integration with GitLab to provide DevSecOps teams with a holistic, contextualized view of application and infrastructure risks. Organizations can now establish and programmatically enforce consistent risk management policies throughout the Software Development Lifecycle (SDLC) while minimizing the effort and expense of manual triage and investigation.

Cloud infrastructure and applications are traditionally deployed from two separate pipelines, which dissociates application security vulnerabilities from Infrastructure as Code (IaC) misconfigurations. As a result, developers are often left with a long list of vulnerabilities and misconfigurations to fix without the context required to prioritize remediation of those vulnerabilities and misconfigurations that could actually be exploited.

“The most effective innovation is often incremental – for example, new capabilities and additional functionality accompanied by relevant security advances,” said Om Moolchandani, Co-founder, CTO & CISO at Accurics. “In this environment, we see diverse and largely unconnected vulnerabilities and misconfigurations, collectively producing a level of noise that makes identifying the most serious risks vital but difficult. The partnership with GitLab serves to add greater context to every layer of code and strengthens the security risk posture throughout the extended development lifecycle.”

The integration with GitLab helps Accurics users overcome these challenges by correlating IaC, cloud, and SAST vulnerabilities to help mitigate risk throughout the SDLC and generate a threat score. This threat score can be used by policy guardrails established with Policy as Code, blocking the riskiest builds from being deployed into production while providing insight into less risky problems that don’t warrant breaking the build. As a result, developers are able to focus resources on remediating the most immediate threats first.

“The growing adoption of GitOps practices and Infrastructure as Code necessitates scalable risk management tools,” said Nima Badiey, Vice President, Global Alliances at GitLab. “The integration between GitLab and Accurics will help customers to programmatically define infrastructure and risk management policies more effectively throughout the software development lifecycle.”

At Accurics™, we envision a world where organizations can innovate in the cloud with confidence. Our mission is to enable organizations to achieve cloud cyber resilience with developer-first security that self-heals the cloud. The Accurics platform programmatically detects infrastructure misconfigurations and contextualizes the findings with application risks to identify breach paths throughout the development lifecycle. It automatically generates code to remediate issues and applies the fix in the development pipeline. Accurics enables organizations of all sizes to achieve developer-driven cloud cyber resilience through cloud-based and open source tools such as Terrascan

Majority of Orgs Lack Visibility Into Container Vulnerabilities

anil — Tue, 15 Jun 2021 06:15:06 +0000

Source:-https://devops.com/

Today’s blend of third-party application dependencies and polyglot software development often makes assessing risk difficult. With many new cloud-native deployment models, it can be tricky to discover potential vulnerabilities. These threats take the form of insecure default settings in Kubernetes, over-permissive states, CVEs that threaten container integrity, and other vulnerable conditions.

Plugging gaps throughout the cloud-native strata is now crucial to avoid exposing data and breaking privacy regulations. Yet, gaining visibility into these holdings is challenging, and traditional application security practices may not cut it within a cloud-native context.

A new 2021 CISO Report released by Dynatrace, “Precise, automatic risk and impact assessment is key for DevSecOps,” demonstrates increased false positives and a general lack of real-time container runtime vulnerability scanning among enterprise IT departments worldwide. Of the 700 CISOs surveyed, most report that microservices, containers and Kubernetes have caused security blind spots across their organizations.

Below, we’ll cover the major takeaways from the study to see why new cloud-native development models are leaving security gaps. We’ll consider how CISOs can increase security throughout the cloud-native IT stack while still reaping the rewards of container-based delivery models.

Cloud-Native Security Blindspots
Adopting new container-based technologies may introduce multiple nuanced security implications. Of the tech leaders surveyed, 89% report that microservices, containers and Kubernetes have created new vulnerabilities within their organizations.

Engineers are shipping code to maintain release velocity and to meet the demand for digital innovation. In the process, 28% of CISOs say application teams sometimes bypass vulnerability scans to speed up software delivery. Due to these realities, it’s no surprise that 71% of CISOs admit they are not fully confident code is free of vulnerabilities before going live in production.

As some teams bypass security pre-production, it follows that more aren’t applying holistic security scanning during production. As a result, nearly all organizations (97%) lack real-time visibility into runtime vulnerabilities, found the report.

Adding to the number of cloud-native blindspots is information overload. The report calculated that, on average, an organization receives a staggering 2,169 new alerts of potential application security vulnerabilities each month. Out of this high volume of alerts, 77% of CISOs say they are mostly false positives and not actual exposures.

Due to minimal testing and a high number of false positives, organizations are likely to leave many vulnerabilities unpatched. To make matters worse, developers, pressed for time, may lack the bandwidth to resolve known issues.

Faster Delivery, Harder Detection
Much of the setbacks in vulnerability detection may lie in a general shift toward new ways of working and faster delivery cycles. For example, 63% of CISOs reported that DevOps and agile methodologies are making it harder to detect and manage vulnerabilities.

In addition, 74% of CISOs say traditional security controls such as vulnerability scanners no longer fit today’s cloud-native world, and 77% of CISOs agree that automation could help. This could involve replacing manual deployment, configuration and management with more automated approaches. Others agree that security-as-code is required to ensure high container security best practices.

Another result of more frequent delivery is increased over-reporting. Of the total security vulnerability alerts received per month, CISOs report that only 42% of these alerts require action. More rapid release cycles could thus exacerbate already crowded vulnerability detection systems.

Who Owns Vulnerability Management?
Only 3% of organizations have real-time visibility into runtime vulnerabilities in containerized production environments, the study found. In reality, vulnerability scanning in production is only happening once a month or less within 68% of organizations.

To compensate for this gap, most CISOs believe the onus is not on the security team but the application and DevOps teams to manage and respond to vulnerabilities—85% of CISOs believe these groups should hold responsibility for vulnerability management. These findings come to light as other stakeholders advocate for increased full-cycle developer control and encourage the DevOps mindset across roles.

Handing more control to developers sounds good, yet, 64% of respondents say developers don’t always have time to resolve vulnerabilities before code goes into production. As a result, over one-quarter of application teams bypass vulnerability scanning entirely. Often, engineering teams may not frequently sync with security groups, and DevSecOps principles are not yet pervasive throughout all organizations.

The report also highlighted the fact that existing security tools are often ineffective; 69% of CISOs say security tools slow down DevOps because they only focus on one state of the software delivery cycle.

Cloud Use Requires Security Repositioning
As cloud architectures rise in prominence, organizations are adopting cloud-native tools like microservices, containers and Kubernetes. There is also the chance of multi-tool conditions further complicating the vulnerability scanning process. With more systems to protect than ever before, teams may have to reposition their approach to vulnerability detection.

“The increased use of cloud-native architectures has fundamentally broken traditional approaches to application security,” said Bernd Greifeneder, founder and chief technology officer at Dynatrace. “This research confirms what we’ve long anticipated: manual vulnerability scans and impact assessments are no longer able to keep up with the pace of change in today’s dynamic cloud environments and rapid innovation cycles.”

The Global CISO report, “Precise, automatic risk and impact assessment is key for DevSecOps,” from Dynatrace, queried 700 chief information security officers (CISOs) on their monitoring practices concerning vulnerabilities. To review the report’s full findings,

Accurics Aligns DevSecOps Platform With GitLab

anil — Tue, 15 Jun 2021 05:58:04 +0000

Source:-https://devops.com/

Accurics today announced it has integrated its tool for discovering violations of security policies that occur when developers provision infrastructure as code with both the continuous integration and continuous delivery (CI/CD) platform and the static application security assessment testing (SAST) tools from GitLab.

Om Moolchandani, chief information and security officer (CISO) and CTO for Accurics, said both integrations make it easier for developers to discover security issues earlier as part of a DevSecOps workflow using the company’s Terrascan tools.

Many of the issues organizations are having with cloud security these days can be traced back to misconfigurations created by developers when configuring infrastructure using tools such as Terraform. Accurics created Terrascan to identify those misconfigurations.

The integration with GitLab makes it easier to incorporate Terrascan into a DevOps workflow in a way that also aggregates data collected from both SAST and dynamic application security testing (DAST) tools, said Moolchandani. That approach effectively unifies what today are two separate cloud infrastructure and application development pipelines by enabling DevOps teams to employ threat scores to enforce security policies as code that are deemed too risky to deploy with block builds, he added.

At the same time, the integration with SAST and DAST tools provides the context developers need to prioritize remediation efforts before applications are deployed in a production environment, noted Moolchandani.

Organizations of all sizes are now trying to strike a balance between two conflicting agendas. On the one hand, infrastructure-as-code (IaC) tools such as Terraform have played a critical role in enabling developers to build and deploy applications faster. The issue is that developers lack the security expertise required to ensure infrastructure is secured properly at a time when cybercriminals are more aggressively seeking to compromise software supply chains. Organizations most likely won’t slow down the rate at which applications are being deployed to make sure software supply chains are not compromised. However, in the absence of best DevSecOps practices—which still are not widely implemented—there may be a backlash against shifting application responsibility left toward developers.

The challenge that creates is most organizations don’t have enough security expertise available to review applications in a timely manner before they are deployed, which results in them hoping security issues will be discovered and remediated during the application update cycle before cybercriminals find a way to exploit a vulnerability.

Of course, hope does not make for an application security strategy. Organizations will need to find ways to enable developers to better secure applications while simultaneously making it easier for cybersecurity teams to maintain a zero-trust IT environment that reduces the chances organizations will be breached via, for example, a phishing attack to steal developer credentials.

Regardless of how DevSecOps workflows and zero-trust IT architectures are implemented, it’s clear organizations have run out of time to resolve longstanding security issues that are now making the kinds of headlines no one wants to see.

Fixing Risk Sharing With Observability

anil — Tue, 08 Jun 2021 05:25:51 +0000

Source:-https://devops.com/

Incentives are mismatched among SREs, SecOps, and application developers. These mismatches create challenges around how and what information is shared across siloed teams. This asymmetrical information creates a moral hazard where one team can shift deployment risk to another team, with no accountability back to the originating team. Risk shifting results in unstable applications, inefficient infrastructure, security issues and poor customer experience. All of that impacts your company’s bottom line.

Closing the Information Gap
Observability is positioned as a way to fix the information gap between these disparate groups. Observable systems allow users to ask questions about their behavior in an open-ended way, unlike more rigid monitoring systems. SREs and SecOps teams are already reaping benefits from observability, but mismatched incentives limit its effectiveness. Meeting the observability expectations of IT leaders requires pervasive instrumentation across applications, infrastructure and third-party software. Delivering that level of instrumentation has remained out of reach due to incentive mismatches, as well as human and infrastructure costs.

The main incentive for developers is shipping code quickly at a reasonable level of quality, meaning a low bug count. This contrasts with SREs, who are incentivized around uptime, performance and efficiency, while the incentives for SecOps teams are around risk reduction and breach mitigation.

Since SREs and SecOps teams don’t have insight into what developers have changed, it’s easy for performance or security problems to get thrown over the fence to operations. A fresh code push might only include minor changes and be harmless to existing operations. Or, it could replace large chunks of logic across the entire codebase, including adding calls to external and third-party applications. To the intrepid SRE and SecOps teams, one change looks like any other. They don’t get a peek behind the curtain because of the mismatched incentives. DevOps wants to deploy quickly. Waiting on approval from other teams slows down deployments, so comprehensive reviews don’t happen. This doesn’t mean DevOps teams are intentionally trying to sabotage partner teams. They’re simply acting in their own interests based on their incentives.

The challenge is that one party, the developers, has more information than other parties. That information asymmetry is what creates unbalanced risk sharing. Coping with information asymmetry has led to all kinds of new collaborative models, starting with DevOps and evolving into DevSecOps and other permutations like Biz DevSecOps.

True collaboration has been hard to come by. Early DevOps efforts are often successful, but scaling beyond five to seven teams is difficult because teams lack the breadth of experience in IT operations or the SRE capacity to staff multiple product teams. The change velocity DevOps teams can achieve is often far greater than SREs and SecOps can absorb, making information asymmetry worse.

If teams can’t maintain high levels of collaboration and communication, another option must be developed. Observability practices, like collecting all events, metrics, traces and logs, allow SREs and SecOps teams to interrogate applications about their behavior without knowing which questions they want to ask ahead of time. However, observability only works if applications, and the infrastructure they rely on, are instrumented. This creates another problem: who does the instrumentation?

The expectation is DevOps teams embed instrumentation into their code as part of the development process. While that’s a nice idea, there are four reasons this falls short. First, the quality of instrumentation varies. Many log statements are terse and only understandable by the developer that wrote them. The message “In function xyx123!” isn’t helpful to an SRE digging into a performance problem that cropped up in the latest release.

Second, instrumentation libraries vary by implementation, giving inconsistent results across language bindings. Open Telemetry is trying to improve this, but its progress is slow and still requires developers to do more work that, if we’re honest, doesn’t benefit them; it benefits SREs and SecOps. Now we’re back to those pesky mismatched incentives and information asymmetry problems again.

The third problem with instrumentation is the volume of data. Each instrumented application can produce terabytes of data each day. When you have robust instrumentation, the amount of data can be overwhelming, and extremely costly to analyze and store.

Lastly, instrumentation is isolated to the code your team wrote. That represents a fraction of the code you rely on. Vendor-provided services and APIs remain a black box, limiting your observability into those components.

Resolving information asymmetry across teams requires two things:

Pervasive, pluggable instrumentation capabilities for all code that doesn’t require developer involvement, and
An observability pipeline to filter, redact and enrich data, then route it to your analytics platform of choice.
Pervasive Instrumentation
Operations teams need instrumentation without having to go back to developers and beg them to add it to existing code. They need to turn it on and off as needed, and they need readily consumable data. They also need every piece of data they can get, including packet payloads, insight into encrypted data and so on. This goes well beyond what’s possible with today’s instrumentation options.

AppScope, a newly released open source project, is a new take on instrumentation. AppScope interposes itself between application threads and system libraries, tracking things like file system access, network and HTTP activity, as well as CPU and process activity. It also provides payload data, and because it sits between the application and encryption libraries, it also gives access to users’ cleartext data. Because it works with any Linux binary, SREs and operations teams can instrument anything, even code they didn’t write.

Observability Pipeline
The challenge with pervasive instrumentation is dealing with all the data generated by applications. Network, file system, and other system data can easily swamp destination APM and log analytics platforms, driving up licensing and infrastructure costs. While instrumentation data is vital to rebalancing risk sharing in organizations, you need a way to manage that data intelligently to get value out of it. This is where the observability pipeline comes in.

An observability pipeline sits between the sources of observability data and its target destinations. By acting as a strategic control point, the pipeline gives users control over how data is formatted, filtered, enriched, and redacted before it is routed to one or more destinations.

Observability pipelines help SREs and operations teams deal with the flood of instrumentation data by routing low value data to low-cost storage, like S3, while higher value information lands in APM and log analytics tools. Later, if you decide you need the data stored in S3 to add more context to your analysis, you can replay it back through the pipeline and enrich your data set.

Shifting business priorities are accelerating the pace of technology deployment across organizations, and teams are pressured to deliver faster. This faster pace of delivery pushes deployment risk to operations and security teams that lack visibility into changes developers have made across complex distributed systems. This information asymmetry also increases risk to the business as applications become less predictable and reliable over time.

Traditional methods of resolving the information mismatch haven’t worked because incentives across teams aren’t aligned. Adopting pervasive instrumentation and observability practices will give SREs and operations teams critical visibility into rapidly changing application and infrastructure environments, without disrupting the developer experience and process.

DevSecOps – Best DevOps

How to get DevSecOps Foundation Certification?

What is DevSecOps Foundation Certification

Why DevSecOps Certification is important?

What are the tools need to learn for a strong DevSecOps Foundation?

How DevOpsSchool’s is best for DevSecOps Foundation Certification?

DevOps Teams: Automate Container Security to Protect CI/CD Pipelines

Table of Contents

1. Introduction

2. Why Container Security Matters in CI/CD

3. Common Security Risks in Containers and CI/CD

a. Insecure Images

b. Secrets in Containers

c. Inadequate Isolation

d. Outdated Base Images

e. Unvalidated Inputs and Dependencies

f. Weak CI/CD Pipeline Security

4. Key Principles for Securing CI/CD Pipelines

5. Automation Strategies for Container Security

a. Automated Image Scanning

b. CI/CD Pipeline Security Gates

c. Secrets Management

d. Runtime Threat Detection

e. Compliance Automation

6. Tools and Technologies to Automate Container Security

7. Best Practices for DevOps Teams

✅ 1. Use Minimal Base Images

✅ 2. Implement Image Provenance

✅ 3. Restrict Network Access

✅ 4. Enable Namespace Isolation

✅ 5. Limit Container Privileges

✅ 6. Audit Everything

8. Real-World Use Case: Securing CI/CD for a FinTech Startup

9. Final Thoughts

What are the DevOps use Cases?

1. Continuous Integration and Continuous Delivery (CI/CD)

Major Features:

2. Microservices Architecture Deployment

Major Features:

3. Infrastructure Automation and Provisioning

Major Features:

4. Monitoring and Incident Management

Major Features:

5. Security Automation (DevSecOps)

Major Features:

6. Cloud-Native Development and Deployment

Major Features:

The Versatility of DevOps Use Cases

How to use DevOps for Security operations?

Key Benefits of Using DevOps for Security Operations

Key Benefits Include:

Key DevOps Practices for Security Operations

Key DevOps Practices Include:

Tools for Enhancing Security Operations in DevOps

Key Tools for DevOps Security Include:

Automating Security in the CI/CD Pipeline

Automating Security in CI/CD:

Continuous Monitoring and Incident Response

Continuous Monitoring and Incident Response:

DevOps for Security Operations

How devops works?

Introduction to DevOps: A Modern Approach to Software Development

How DevOps Works: The Key Principles

Key Principles of How DevOps Works:

Major Features of DevOps that Drive Efficiency

Key Features of DevOps:

The DevOps Lifecycle: Stages and Processes

Key Stages in the DevOps Lifecycle:

DevOps Tools That Enable Effective Execution

Popular Tools Used in DevOps:

Benefits of DevOps: Why It Works

Key Benefits of DevOps:

How DevOps Transforms Software Development

How DevOps and devops can be implemented together?

Understanding DevOps and DevSecOps

Key Strategies for Integrating DevOps and DevSecOps

Benefits of Integrating DevOps and DevSecOps

Challenges and Solutions

How Devops use cases in Healthcare?

Understanding DevOps in Healthcare