MCP Server is the future of your team's incident's response
Learn how to use the Model Context Protocol (MCP) to transform static runbooks into intelligent, real-time investigation tools for Kubernetes and cert-manager.
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The latest News and Information on DevOps, CI/CD, Automation and related technologies.
Winning in the AI Era: How Top Teams are Driving Their Velocity Gains with Alloy & Chime
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.
Resolve's Zero Ticket Minute - Ep. 16 #agenticai #itautomation #aiautomation
Automation worked perfectly… and still sent our employee 3,000 miles the wrong way. That’s the problem: It doesn’t fail; it fails confidently. Pairing AI with deterministic workflows is the way forward.
Product Portfolio Management for New Paradigms - DevOps, AI, and Beyond - Job Task Analysis | Harness Blog
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.
AI Cost Management: How To Track, Allocate And Optimize AI Spend
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.
A Tour of 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.
This is what a flaky test looks like
If a test passes and fails on the same commit, that’s flakiness.
Real-Time Visibility, Orchestrated Deployments, and More
The latest VirtualMetric DataStream release brings a significant step forward in platform observability and deployment flexibility. Version 1.9.0 gives security and infrastructure teams direct visibility into what’s happening across their pipelines in real time while expanding support for cloud-native environments and broadening connectivity options. Here’s what’s new.
Load Testing: An Essential Guide for 2026 | Harness Blog
This comprehensive guide covers the fundamentals of load testing, key differences from stress and performance testing, step-by-step execution methods, popular tools, and best practices to help teams build resilient systems with confidence. In today's always-on digital economy, a single slow page or unexpected crash during peak traffic can cost businesses thousands or even millions of dollars in lost revenue, damaged reputation, and frustrated customers.
The "scanner report has to be green" trap
In the modern DevSecOps world, CISOs are constantly looking for signals in the noise, and the outputs of security scanners often carry a lot of weight. A security scan that returns a “zero CVE” report often unlocks promotion to production; a single red flag can block a release. This binary view of security has birthed two diametrically opposed philosophies. On one side, we have the long-term support (LTS) approach: stay on a battle-tested version and backport specific security fixes.