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

qovery

Beyond the spreadsheet: Using GitOps to generate DORA-compliant audit trails.

Mar 27, 2026 By Mélanie Dallé In Qovery
In the 2026 regulatory landscape, manual audits are a liability. This guide explores using GitOps to generate DORA-compliant audit trails through IaC, drift detection, and automated segregation of duties. Discover how the Qovery management layer turns compliance into an architectural output, reducing manual overhead for CTOs and Senior Engineers.
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Winning in the AI Era: How Top Teams are Driving Their Velocity Gains with Alloy & Chime

Mar 27, 2026 By CircleCI In CircleCI
While most teams struggle with the complexity of AI-generated code, Alloy and Chime have built internal cultures and processes that enable them to scale their development while maintaining quality. Join CircleCI’s CTO, Rob Zuber, in conversation with Maciej Makowski, Senior Software Developer at Chime, and Sunny Singh, Senior Software Engineer at Alloy, as they explore the dynamics that set their teams apart. They'll talk through the culture and delivery practices that actually moved the needle.
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harness

Product Portfolio Management for New Paradigms - DevOps, AI, and Beyond - Job Task Analysis | Harness Blog

Mar 27, 2026 By Ravi Lachhman In Harness
Taking a look back over the last ten years in enterprise technology, paradigm shifts are occurring more frequently. For example, the maturity of DevOps/Platform Engineering and Cloud Native infrastructure has occurred. The new frontier depending where you are in adoption is AI. As your adoption and maturity curve progress, operationalizing these paradigms become important.
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cloudzero

AI Cost Management: How To Track, Allocate And Optimize AI Spend

Mar 27, 2026 By Lyne Carolyne In CloudZero
AI cost management is the practice of tracking, allocating, and optimizing the cloud infrastructure costs tied to building, running, and scaling AI workloads. It differs from traditional cloud cost optimization because AI infrastructure behaves differently at every layer of the stack. The biggest problem isn’t overspending. It’s that most organizations can’t see where their AI spending is going.
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A Tour of Cortex

Mar 27, 2026 By Cortex | Engineering Operations Platform In Cortex
Get a guided tour of Cortex, the Engineering Operations Platform built to help teams improve operational maturity and reduce developer friction. This video covers the core features of Cortex: the Catalog, Scorecards, Initiatives, engineering metrics, and Workflows. Each one maps to the three things any great EngOps platform needs to do: provide clarity, drive improvement, and remove friction. Ready to see it in action? Visit our website: cortex.io Book a custom demo: cortex.io/demo.
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Lowering PUE: Building Envelope Efficiency in Edge Computing Units

Lowering PUE: Building Envelope Efficiency in Edge Computing Units

Mar 27, 2026 By OpsMatters In OpsMatters
Edge computing is changing how we handle data across the globe. Smaller units closer to the user need smart cooling to stay efficient. Compact systems handle big tasks in small spaces without needing giant server rooms. Power Usage Effectiveness (PUE) tracks how much energy goes to IT versus support. Improving the outer shell of units helps keep costs low. High efficiency is a goal for every tech site, and it saves money.
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speedscale

The Observability Gap: Why Monitoring Data Should Drive Tests

Mar 26, 2026 By Matt LeRay In Speedscale
Most teams already know a lot about production. They have dashboards. They have traces. They have alerts. They have enough telemetry to explain what happened after an incident and enough graphs to argue about it for the rest of the week. Then they go to test a change and start from scratch. The integration tests hit a hand-written mock that returns {"status": "ok"}. The load tests replay a CSV somebody exported months ago. Staging is close enough to production right up until it matters.
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