NDepend is a powerful static analysis tool for .NET codebases. This article explains what NDepend does, how to get started quickly, and why it matters for DevOps and software quality workflows.
Many engineers practiced DevOps principles years before the term was coined. If you have ever broken down silos between development and operations, automated deployments, or pushed for faster feedback loops, you may already be a DevOps practitioner.
Modern organizations face relentless pressure to ship faster with fewer errors. Orchestration services help DevOps teams automate complex workflows, coordinate infrastructure, and scale reliably — here’s why they matter.
CA Technologies expanded its DevOps portfolio to cover both distributed and mainframe environments, introducing machine learning capabilities to predict mainframe application performance issues before they occur.
Scaling DevOps beyond individual teams requires more than fast releases. Learn how continuous delivery, feedback loops, and a customer-centric culture help engineering organizations retain users and sustain competitive advantage.
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Continuous Delivery has transformed how distributed applications are shipped, but applying its principles to mainframe environments presents unique challenges. Here’s what DevOps engineers need to know.
Long build and test times kill developer productivity. Splitting your application into separate Docker containers can dramatically speed up your CI/CD pipeline by enabling parallel builds, smarter caching, and independent service testing.
Learn how to combine TypeScript and Docker to build a production-ready REST service, complete with debugging support for IDEs like WebStorm and VSCode.
Docker containers are renowned for their portability across on-premises and cloud environments. Learn how layered filesystems, image layers, and the copy-on-write strategy make this possible.
