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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Integrating DCIM and ServiceNow: 4 Customer Success Stories

Managing assets, tickets, and workflows across multiple data center sites can be complex and time-consuming. When IT service management (ITSM) and DCIM tools operate in separate silos, teams often face incomplete information, duplicated effort, and limited visibility into the physical infrastructure. Integrating Data Center Infrastructure Management (DCIM) software with ITSM platforms like ServiceNow ensures that asset, configuration, and ticket data remain aligned across systems.

Silent Failures: Why AI Code Breaks in Production

You ship a small “safe” change on Friday. The diff is tiny, the tests are green, and the AI assistant was confident. An hour after deploy, your on-call channel lights up. A downstream service is rejecting responses that look fine in code review. Now you’re rolling back and rewriting a fix that should have been obvious if you had real traffic in the loop. This isn’t a hypothetical.
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Kubernetes Load Testing Made Easy with Speedscale

Everybody knows working with Kubernetes is really hard. It's highly complicated. You have to know how to work with YAMLs, there's lots of stuff to deal with. The classic developer experience with YAML. But what if you could get complete visibility into your Kubernetes workloads and run realistic load tests without touching a single YAML file or running kubectl commands? In this walkthrough, I'll show you how Speedscale makes Kubernetes observability and performance testing as simple as point-and-click.

Resolve's Agents of IT podcast - Ep. 12 - Bob Strong, AVP of Service Operations at Assurant

What does it really take to move from reactive IT firefighting to intelligent, AI-driven operations? In this episode of Agents of IT, Resolve CCO Sean Heuer and COO Ari Stowe sit down with Bob Armstrong, AVP of Service Operations at Assurant, to unpack what happens when a 25-year service operations leader embraces AI, automation, and agentic workflows.

Meet the Maintainers: Ned Batchelder (coverage.py) - the story behind Python code coverage

Ned Batchelder (nedbat), creator and long-time maintainer of coverage.py, joins Push to Talk | Meet the Maintainers to share his path into programming and open source and the real story behind one of Python’s most popular testing tools. We talk about the journey to coverage.py, the turning points that shaped it, and why the measurement of the library is only 94%. What's inside? Surprise us: how are you using coverage.py?

When ConfigMaps Hit Limits: Migrating to CRDs

Over the past few years, Kubex has evolved from a cloud optimization product into a Kubernetes-centric solution, shifting its focus from cost and waste visibility to fully automated resource optimization. As that evolution happened, one of the earliest design decisions we had made began to show its limits: how the product was configured.

Unit Testing in CI/CD: How to Accelerate Builds Without Sacrificing Quality | Harness Blog

Smart test selection, parallel test runs, and intelligent caching can all speed up builds without sacrificing code quality. Fast, focused, and separate unit tests are very important for quick development. They give you feedback right away and make it easier to refactor with confidence. Unit tests are a quick and cheap way to find logic errors, but they can't check how different parts work together. For full coverage, use them with integration tests and end-to-end tests.