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Platform Engineering

The latest Platform Engineering news, analysis and insights from DevOps.com.

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Features

Rust’s First Debugging Survey Shows Most Developers Skip the Debugger Entirely

Most Rust developers don’t use a debugger. That’s the headline finding from the Rust compiler team’s first dedicated debugging survey, and it’s worth sitting with for a second. Rust has spent years building a reputation as the language that catches your mistakes before you ship them. The compiler is famously strict. The type system is […]

Tom Smith · Sep 9, 2026
Contributed Content

DevOps in Financial Services: Moving Fast Without Losing Control

DevOps is often associated with speed: shorter release cycles, greater automation, faster feedback and increased developer autonomy. In financial services, however, speed is only one part of the equation. A platform supporting banking, payments or other regulated financial workloads also has to account for security, traceability, resilience, access control and operational risk. A deployment that […]

Prachi Tembhekar · Sep 8, 2026
Contributed Content

GitOps in 2026: Why Pull Requests Are Taking Over Cloud Operations

For years, cloud infrastructure changes were mostly a mystery. An engineer would log into a dashboard, tweak a setting, run a few scripts, and that was it. Nobody worried until something broke. Suddenly, everyone wanted answers. Who changed this? Was it tested? Can we fix it? How did production end up out of sync with […]

Jenn Yarnold · Sep 2, 2026
Contributed Content

The Missing Runtime for Long-Running AI Agents

Enterprise AI agents need more than stronger models. They need durable execution environments that can coordinate multi-step workflows, survive failures, pause for human review and resume reliably after disconnects or delays. AI Agents Have Moved Beyond Chat Demos AI agents work beautifully in demos. A user asks a question, a large language model generates a […]

Anuj Kapoor · Aug 26, 2026
Blogs

Your AI Coding Budget Is Becoming a Variable Cloud Bill

AI coding assistants are becoming a variable, usage-based engineering cost, forcing platform and DevOps teams to apply FinOps practices to models, credits, utilization and multi-vendor spend.

Carla Castillo · Aug 26, 2026
Contributed Content

What the Microservices Era Can Teach Us About AI

AI agents are not just microservices with LLMs attached. Their long-running, non-deterministic workflows demand durable execution, per-step identity, governance and observability.

Mark Fussell · Aug 19, 2026
Contributed Content

DevOps Is Drowning in Updates—and Engineering Is Paying the Price

DevOps used to be a manageable rhythm: several core tools, a handful of respected blogs, and a few incident write-ups that made everyone slightly uncomfortable in a useful way. Now it feels like a firehose aimed directly at the on-call rotation. DevOps teams now have more information than they can reasonably track. Critical updates are […]

Alex Vakulov · Jul 28, 2026
Contributed Content

When AI Agents Get Production Access: The Next Big DevOps Risk

It wasn’t that long ago that AI assistants just watched from the sidelines. They could answer your questions, explain how things worked, sum up logs, and write deployment scripts. Handy, sure, but the real decisions? Still up to the engineers. That’s changing now. AI agents are stepping right into the heartbeat of operations. They can […]

Sannan Ali · Jul 2, 2026
DevOps Onramp

Platform Engineering vs. DevOps: Why This Is the Wrong Question

DevOps has done what it was supposed to do. It broke down the wall between development and operations, it made continuous delivery a normal expectation, it made shared ownership of production a cultural default, and it moved software delivery from a scheduled event to a continuous flow. The results reshaped how modern software gets built. […]

Alan Shimel · Jul 1, 2026
Contributed Content

Risk-Based Review for Infrastructure as Code Pull Requests

Not every infrastructure pull request deserves the same review path. A tag change in a development account and a network-policy change in production should not create identical reviewer load. When every change is treated as high risk, reviewers stop trusting the signal. In IaC review, I have seen reviewers spend too much attention on low-risk changes […]

Naga Krishna Reddy Muppidi · Jun 5, 2026