RedHat Brings Cloud Container Orchestration to DevOps Pros
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DevOps in Government: Balancing Velocity and Security
Federal agencies are adopting DevOps to modernize IT and cut costs, but expanded attack surfaces and secrets management challenges create serious security risks. Here’s how government organizations can achieve both velocity and security.
Beyond DevOps: Why DevProd Could Be the Next Major Software Movement
DevOps broke down the wall between development and operations. Now a new movement—DevProd—is emerging to bridge the gap between engineering and product management. Here’s what it means for your organisation.
How DevOps Can Create Smarter, More Agile 5G Telecom Networks
DevOps practices—CI/CD, containerization, and automation—are reshaping how 5G networks are built and operated. Here’s how SDN, NFV, and cloud-native architecture bring DevOps principles into next-generation telecom.
How DevOps Helped One Firm Get GDPR Right
A case study of how Cybric, a small security platform provider, used core DevOps principles—automation, collaboration, and transparent data-flow management—to achieve GDPR compliance well ahead of the regulation’s enforcement deadline.
Google Security Updates Target DevOps and Containers: Asylo and Cloud SCC Explained
Google announced two significant security initiatives aimed at DevOps teams and container workloads: the Asylo open-source TEE framework and the Cloud Security Command Center. Here is what they mean in practice.
The DevOps Model: What It Is and Why It Matters
DevOps merges software development and operations into a single, collaborative workflow. Learn what the DevOps model is, why traditional approaches fall short, and what concrete benefits DevOps delivers to engineering teams.
Data, DevOps, and the Rest of the Business
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Getting Started with AIOps Tools: A Practical Introduction for DevOps Engineers
AIOps applies AI and machine learning to IT operations, enabling proactive monitoring, predictive failure detection, and faster incident resolution. Learn how to evaluate and adopt AIOps tooling in your environment.
AWS Developer Tools: Pushing Apps from Code to Production with CodeCommit, CodeBuild, CodeDeploy, and CodePipeline
Learn how AWS native developer tools — CodeCommit, CodeBuild, CodeDeploy, and CodePipeline — work together to automate your CI/CD pipeline and ship quality software faster.
Why Management Thinks Your DevOps Implementation Is Going Great (When Developers Don’t)
Data from GitLab’s 2018 Global Developer Report reveals a significant perception gap between managers and developers on DevOps success — and what teams can do about it.
Data, DevOps, and the Rest of the Business
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Is DevOps Right for Financial Services?
Financial services firms face strict regulations, legacy systems, and mounting technical debt. Learn how DevOps addresses these challenges through cultural change, automation, and the CAMS framework.
Exposed DevOps Servers in the Wild: What the Research Tells Us About Infrastructure Security
An IntSights study scanned nearly 26,000 DevOps-related URLs and found that almost one in four were publicly accessible — some with no authentication at all. Here’s what that means for your toolchain security.
Why New Feature Testing Should Be at the Heart of DevOps
Continuous testing and regression suites are valuable, but they are not enough. Discover why new feature testing — performed by real humans early in the development cycle — is the practice that keeps DevOps from becoming a pipeline for shipping bugs faster.
Code Delivery Pipeline Automation: Building Speed to Innovate
Continuous delivery pipeline automation is no longer optional for competitive software teams. Learn how automating build, test, and deployment stages reduces cost, minimizes risk, and accelerates time to market.
Are You Protecting Your DevOps Software ‘Factory’?
A study by IntSights found that more than 23% of nearly 26,000 DevOps tool URLs were publicly accessible with little or no security controls. Here’s what the research revealed and how to harden your DevOps toolchain.
What Tools Are Needed to Build a DevOps Management Model?
Building a successful DevOps management model requires the right toolchain across every stage of the software lifecycle—from planning and development to testing, deployment, and post-production support. Here’s what you need to know.
Could Agile and DevOps be to blame for banking IT failures?
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The Next Generation of DevOps: ML Ops
As AI becomes more ubiquitous, DevOps principles are being extended into the machine learning lifecycle. This discipline—ML Ops—bridges data engineering, data science, and software engineering to automate, monitor, and scale ML systems in production.