Why DIY Test Automation Succeeds Its Way Into a Problem
DIY test automation can deliver quick wins, but hidden maintenance costs often make build-versus-buy decisions more complex.
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Overcoming IP Churn in Ephemeral DevOps Environments Using Userspace Overlays
Learn how userspace overlays help DevOps teams overcome IP churn, simplify connectivity and secure ephemeral workloads.
The Validation Gap Is Costing You More Than You Think
Our latest State of Software Delivery report analyzed more than 28 million CI workflows and found a pattern.
Why Enterprise AI Infrastructure Is Becoming a DevOps Problem
Enterprise AI infrastructure demands more than retrieval, requiring DevOps expertise in inference, governance and scaling.
AI Is Changing How We Write Infrastructure, But It’s Not Solving How We Control It
Over the past year, AI has fundamentally changed how software is written. Infrastructure code is no exception.
Building a cloud native internal developer platform with Kubernetes, GitOps, and supply chain security
Modern software delivery is no longer constrained by application code — it is constrained by the platform that runs it. This article presents the design of a?...
Why Logs, Metrics and Traces Still Don’t Give You Real Observability
If your team can answer the question “Did the system do the right thing?”, you’re getting close to real observability.
The Permission Slip
A while back I asked in this space what would happen if Dario Amodei was wrong. I want to come back to that, because I think the question matters more now than ...
Why AI Won’t Solve the Hardest Part of Integrations
AI can speed up integration development, but operational complexity, monitoring and infrastructure challenges still remain.
The Platform Engineer’s Handbook
The Platform Engineer’s Handbook: Build secure, developer-focused platforms that streamline modern software delivery. Deliver developer-friendly
More Signal, Less Clarity: The Observability Paradox No One Wants to Talk About
Record observability spending is driving up MTTR. Tool sprawl and excessive dashboard data cause cognitive overload for on-call engineers.
5 Ways Agentic AI is Redefining DevOps Architecture for Self-Healing CI/CD Systems
As enterprises shift to agentic AI, flakiness has evolved into a structural bottleneck for CI/CD pipelines reliant on rigid assertions.