6d ago · 3 min read · Modern Kubernetes environments are powerful—but diagnosing cluster health quickly is still harder than it should be. In this project, I built a Model Context Protocol (MCP)-driven Kubernetes health pl
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May 16 · 12 min read · Main blog: https://anshumanbiswal.com/2026/05/16/from-waterfall-to-aiops-the-evolution-of-devops-and-the-future-of-intelligent-operations/ Introduction There was a time when software delivery teams s
Join discussionMay 13 · 13 min read · Key Takeaways Automated post-mortem generation is the process of producing an incident retrospective from artifacts already collected during the incident — chat transcript, alert timeline, monitor d
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May 11 · 13 min read · Key Takeaways Aurora Actions are reusable, natural-language automations that Aurora's agent executes in the background using all 22+ connected integrations. Available today on the main branch of Auro
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May 11 · 15 min read · Key Takeaways Most teams do not yet auto-remediate inside CI/CD. Per JetBrains' AI Pulse coverage (April 2026), 78.2% of respondents don't use AI in CI/CD workflows at all — even though AI is now wi
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May 9 · 14 min read · Originally published at theculprit.ai/blog/sql-primitives-for-incident-split-merge. Every alert-correlation system gets things wrong. The interesting question is what the on-call engineer can do about it at 2 a.m. The bad answer is: nothing. The sys...
Join discussionMay 1 · 5 min read · Every observability vendor has bolted "AI" to their landing page. Half of those features are genuine improvements. The other half are autocomplete in a costume. After a few years of running these tools across enterprise estates, here is where AI-augm...
Join discussionApr 27 · 6 min read · Every failed pipeline is a detective story buried in thousands of lines of output. Here's how we built the first version of an agent that reads them so you don't have to. The Problem We Are Tired Of
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