DevOps Related Information
Kubernetes provides solid native security controls, but they are not sufficient on their own. Learn how microsegmentation, network policies, RBAC, and third-party tools work together to protect containerized workloads.
Deploying AIOps without a structured plan is one of the fastest ways to lose executive trust. This practical 7-step framework covers everything from initial planning and socializing change, through configuration, testing, and production deployment.
IT bottlenecks rarely appear out of nowhere. They are usually the result of identifiable, preventable bad practices baked into team culture or process. Here are 13 of the most common culprits and what you can do about them.
An overview of the global Application Performance Management (APM) automation tools market, covering leading vendors, market segments, vertical applications, and the forces shaping adoption through the mid-2020s.
Passing all tests and closing every ticket doesn’t mean your codebase is truly done. Here are 16 concrete ways to keep improving software quality, performance, and maintainability after the initial delivery.
Google Cloud acquired mainframe migration specialist Cornerstone Technology to help enterprises move COBOL, PL/1, and Assembler workloads to cloud-native environments — but analysts urge caution before abandoning the mainframe.
The global healthcare cloud computing market was forecast to grow at a 25.1% CAGR from 2018 to 2023, driven by Big Data demands, SaaS adoption, and emerging technologies such as AI and telehealth. This article examines the key forces shaping that growth.
Embedding just-in-time training materials directly into your CI/CD toolchain helps DevOps teams stay current with fast-moving tools. Here is how to evaluate your options and keep training content accurate and useful.
DevOps adoption stalls when it’s treated as a purely technical initiative. Lasting transformation requires executive ownership, a clear vision, and transformational leadership behaviours that align people, culture, and delivery.
Git and GitHub are no longer just for software developers. Learn the core GitHub workflows every data scientist needs — repositories, branches, and pull requests — to collaborate effectively and move models into production.
How open source projects like Eclipse Che, Che4z, and Zowe are modernizing mainframe application development and bridging the gap between legacy systems and cloud-native DevOps practices.
A practical overview of the Application Release Orchestration (ARO) software landscape, covering leading vendors, deployment models, target use cases, and the forces shaping adoption.
AI adoption is accelerating across the enterprise, but failure rates remain high. Learn the three critical factors—organizational education, continuous iteration, and actionable insights—that separate successful AI projects from costly failures.
An overview of the global data virtualization software landscape, covering key vendors such as SAP, Informatica, Oracle, AWS, and Denodo, along with deployment types, application segments, and regional considerations.
Learn how Kubernetes Operators and API Microgateways address the core challenges of cloud-native API management, including security, rate limiting, and microservices deployment patterns.
An overview of the IT infrastructure monitoring landscape, covering leading vendors such as Nagios, Datadog, Splunk, and AppDynamics, along with deployment models, industry verticals, and how to evaluate tools for your environment.
From AI and IoT to quantum computing and DevOps, here are the five technology investment priorities that C-suite executives need to understand and act on.
A cybersecurity firm discovered a public GitHub repository uploaded by an AWS engineer that contained customer credentials, private encryption keys, and API tokens — and remediated it within hours.
Digital transformation is not a finite technology project. It is an ongoing operating posture built on IT agility, loosely-coupled architecture, microservices, APIs, and effective management tooling.
ServiceNow built a market-leading position in IT service management by automating workflows, expanding beyond IT into HR and customer service, and creating deep switching costs that keep enterprise customers loyal.
