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

What it takes to build and scale developer platforms | Canonical x Qualcomm

Ubuntu on @qualcomm platforms simplifies access to Qualcomm’s advanced AI accelerators and capabilities, empowering developers and enterprises to innovate with confidence. Learn about the work we’re doing to bring Ubuntu to Arduino and other Qualcomm-powered boards. The Qualcomm and Canonical partnership provides developers with a reliable, security-focused, high performance operating system. In this video, Qualcomm breaks down how upstreaming, open standards, and Canonical solutions help developers move faster, from first boot to production.

How Cisco Revolutionized Platform Engineering with Komodor's Agentic AI

In the world of cloud-native infrastructure, complexity is the silent killer of innovation. For Cisco Outshift, the company’s incubation engine, managing a sprawling environment of AWS EKS clusters and edge-based MicroK8s workloads created a classic bottleneck: the Platform Engineering team was drowning in toil. Facing SRE burnout and the limits of human scaling, Cisco embarked on an ambitious journey to evolve its internal operations from standard DevOps to Agentic AI.

[Open beta] Introducing Tests in Bitbucket Pipelines

If you’ve ever watched a pull request sit for hours because of a flaky test, you know how quickly test suites can turn from safety net into bottleneck. As teams grow, test suites tend to grow even faster because every new feature, bug fix, and regression adds more tests, while old or redundant tests are rarely cleaned up, so over time you end up running far more tests than are strictly needed for reliable feedback.

Stateful Vs. Stateless Applications: What's The Difference (And Why It Matters)

Think of a stateful application like a conversation with a barista who remembers your order every time you walk in. They know what you had yesterday, how you like it prepared, and what you’ll probably want next. That memory makes the experience smoother, but it also means that if that barista isn’t around, your experience can break down entirely. A stateless application, on the other hand, is similar to ordering from a self-service kiosk.

Boost your test coverage with CircleCI Chunk AI agent

Test coverage is one of those metrics everyone agrees matters until it’s time to actually write the tests. Between shipping features, fixing bugs, and handling production issues, writing comprehensive tests for edge cases and error paths often falls to the bottom of the backlog. The result is coverage gaps that accumulate technical debt and leave your codebase vulnerable to regressions. As AI-powered development tools reshape how we write code, the volume and velocity of changes is accelerating.

Fix bugs faster with CircleCI's Chunk AI agent

Bugs hide in plain sight. A date validator that rejects February 29th on leap years. An edge case that slips through code review. A flaky test that passes locally but fails in CI. These issues erode trust in your codebase and waste hours of debugging time. In the era of AI-assisted development, code is being written faster than ever. But speed creates risk.

Designing an automated SDLC control

For anyone shipping software in regulated industries, the word “control” gets thrown around all over. Compliance frameworks demand controls, auditors verify controls are used, engineering teams implement controls, and there are even Control Owners. But what exactly is a control? And more importantly, how do we design controls that actually serve their intended purpose while enabling rather than hindering delivery velocity?