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

Sustainable AI Investment: A Systems Thinking Approach

According to our new report, FinOps in the AI Era: A Critical Recalibration, 40% of companies now spend $10M or more annually on AI. Most can’t tell you if it’s working. That’s not a budgeting problem. It’s a systems problem. And Donella Meadows wrote the playbook for understanding it.

The PaaS Graveyard: Why Platforms Keep Dying and Developers Keep Migrating

I've been in this industry since before the word "PaaS" existed. I founded Cloud 66 in 2012 — the same year Heroku was peaking, dotCloud was pivoting to become Docker, and the idea of "just git push and forget about servers" felt like the future. It was the future. Partly. The deployment experience was revolutionary. The business model wasn't. Last week, Heroku announced its transition to "sustaining mode" — no new features, no new enterprise contracts.

Heroku Moves to Sustaining Mode: What It Means and What You Can Do About It

Last week, Heroku announced it is transitioning to a "sustaining engineering model." In plain English: no new features, no new enterprise contracts for new customers, and Salesforce is redirecting its investment elsewhere. The platform will be maintained for security and stability, but that's it. If you've been in this industry long enough, you know what "sustaining mode" means.

How frictionless development created a trillion dollar mistake

We've all heard from an engineering leader about the exact moment they realized their architecture had gotten too complex. It usually happens when they look at a service map and realize it looks like a box of tangled Christmas lights. This cognitive overload is exactly what Steve Evans, the former SVP of engineering at Chegg, reflected on in a recent post on LinkedIn. He argued that microservices were a trillion dollar mistake because we often over-build for future problems that never actually arrive.
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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.

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.

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?

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.