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

What is Chaos Engineering? Explained in 60 seconds | Resilience Testing | Harness

Discover how leading engineering teams proactively build rock-solid applications using Chaos Engineering. Learn why waiting for real outages is risky and how intentionally injecting controlled failures like pod crashes, network latency, and node restarts helps uncover hidden weaknesses before they impact your users. In this short, explore the simple yet powerful practice that turns fragile systems into resilient ones and how Harness makes running chaos experiments effortless and safe with its intuitive Resilience Testing module.

How to Implement Self-Service Infrastructure Without Losing Control | Harness Blog

Self-service infrastructure replaces ticket queues with controlled, automated workflows so developers can get what they need safely and on demand. Policy-as-code, standardized templates, and an Internal Developer Portal (IDP) provide guardrails that maintain security, compliance, and cost control. You can demonstrate ROI in 90 days by starting with a single golden path and measuring adoption, speed, and policy outcomes. If platform teams are buried in tickets, they are not operating a control plane.

How to Build a Developer Self-Service Platform That Actually Works | Harness Blog

Your developers are buried under tickets for environments, pipelines, and infra tweaks, while a small platform team tries to keep up. That is not developer self-service. That is managed frustration. If 200 developers depend on five platform engineers for every change, you do not have a platform; you have a bottleneck. Velocity drops, burnout rises, and shadow tooling appears. Developer self-service fixes this, but only when it is treated as a product, not a portal skin.

The Atlassian Rovo MCP Server now supports Bitbucket Cloud

The Atlassian Rovo Model Context Protocol MCP Server now supports Bitbucket Cloud. AI clients like Claude, ChatGPT, Cursor, and VS Code can now browse repositories, create commits, open pull requests, and check pipeline results, all through the same secure MCP connection that already works with Jira and Confluence.

Resolve's Agents of IT podcast - Ep. 16 - Can AI Fix Broken Work Without Breaking Security?

In this episode of Agents of IT, host Ari Stowe sits down with producer Ian Coppock for a fast-paced, no-filter discussion on one of the hottest topics in enterprise tech: AI, security, and the reality of modern work. Is AI introducing new security risks, or just exposing the ones that were already there? The answer is both. From overprivileged access to machine identities, Ari and Ian break down what’s actually changing and what isn’t. They challenge the idea that AI alone will fix broken workflows and explore why intentional design, guardrails, and orchestration matter more than ever.

Expanded Chart View: Investigate Without Leaving the Chart

Charts in Netdata have always been interactive. You can zoom, pan, select time ranges, and see per-second granularity across thousands of metrics. But when you spotted something interesting, the next steps usually meant leaving the chart: opening another tab to check a related metric, navigating to the correlation tool, or pulling up a different time range for comparison. The investigation workflow lived outside the chart, even though the chart was where the investigation started.

Enable self-service environments with Harness Internal Developer Portal

Learn how to enable self-service environments with an internal developer portal (IDP) and CI/CD automation. You’ve automated deployments with Harness CD, but what about the environments those deployments run on? In this quick demo, see how Harness Environment Management completes the picture by making environments self-service, standardized, and fully lifecycle-managed. Together, CD + Environment Management close the loop on modern software delivery.

Why Autonomous AI Agents Can't Run on SaaS Infrastructure

The era of the “copilot” is ending. We are moving rapidly toward the era of the autonomous software factory, where autonomous agents don’t just autocomplete our code—they investigate, plan, test, and merge entire features while we sleep. But this shift has exposed a critical flaw in how we consume AI. For the past decade, the default motion for enterprise software has been SaaS. It’s easy, frictionless, and managed by someone else.