May 23
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Middleware OpsAI SRE Agent detects issues across APM, RUM, Logs, and Kubernetes, performs root-cause analysis, and applies a fix before they impact end users. It is built on top of a full-stack observability platform that doesn't require any additional configuration; it automatically detects error logs and events across your infrastructure and application and provides detailed stack traces along with enriched error context. Key capabilities at launch include: ➡️ Automated root cause analysis across backend, frontend, and Kubernetes signals, correlating traces, logs, metrics, and frontend sessions in seconds and tracing issues to the exact line of code. ➡️ Kubernetes Auto Fix for direct remediation of pod crashes, memory leaks, and misconfigurations — choose Auto RCA mode (OpsAI proposes the fix) or Auto Fix mode (OpsAI applies it directly). ➡️ Third-party alert ingestion from Datadog and Grafana, no migration required. Run agentic SRE investigations inside Middleware using existing observability data. ➡️ AI-powered anomaly detection and log pattern analysis across the full stack, flagging genuine deviations and surfacing recurring patterns while filtering false positives. ➡️ OpsAI connects to GitHub securely, accessing only the files relevant to the error, never your entire codebase. It analyzes the issue, suggests a fix, and can open a pull request with the code changes ready for review. How to get started? Take a look at https://docs.middleware.io/opsai/opsai_overview Product information: https://middleware.io/product/ops-ai/ Detailed information about launch: https://middleware.io/blog/ops-ai-sre-agent/ https://www.prnewswire.com/news-releases/middleware-launches-opsai-an-ai-sre-agent-that-resolves-production-issues-before-they-impact-end-users-302762890.html