A new open-source AI incident response agent, AgentAz, has been released under Apache-2.0, designed to autonomously handle low-risk remediation steps while escalating high-risk actions to human engine…
Site reliability engineers are rethinking the classic Four Golden Signals—latency, traffic, errors, and saturation—arguing these metrics fail to detect failures in AI systems where a service returns H…
A developer argues that AI's most valuable contribution to DevOps is not automation but diagnosis, exposing hidden fragility in pipelines. By feeding CI/CD configs, runbooks, and incident postmortems …
A startup raised $50M this week to address the AI pilot-to-production gap, which investors have called "the defining gap of 2026." An engineer who studied production AI agent deployments across regula…
A developer fine-tuned the Qwen2.5-0.5B model on 700 real incident post-mortem examples, achieving over 60% rubric compliance for structured SRE summaries—outperforming zero-shot baselines from larger…
Google is deploying agentic AI across its Site Reliability Engineering (SRE) operations to manage increasing system complexity driven by microservices, AI-generated code, and diverse regulatory requir…
A developer built OpsMind AI, an AI-powered incident root cause analysis platform using LangGraph and RAG to automate the investigation of production failures in distributed systems. The platform proc…
Running large language model inference servers like vLLM and TGI in production requires specialized observability because they behave differently from standard web services, with key metrics like late…