HubLensAITracer-Cloud/opensre
// archived 2026-04-18
Tracer-Cloud

opensre

DevOps#AI#SRE#Kubernetes#Observability#Automation
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87

// summary

OpenSRE is an open-source framework designed to help developers build and deploy AI agents for infrastructure incident investigation and response. It provides a comprehensive environment for running synthetic RCA suites and end-to-end tests across various cloud-backed scenarios. By connecting existing observability and infrastructure tools, the platform enables automated reasoning and evidence-backed root cause analysis.

// technical analysis

OpenSRE is an open-source framework designed to build and train AI agents capable of autonomous infrastructure incident investigation and response. By providing a reinforcement learning environment with synthetic incident simulations and end-to-end testing, it addresses the lack of standardized training data for production debugging. The project emphasizes local infrastructure deployment and deep integration with existing observability and cloud tools to bridge the gap between scattered system signals and actionable root-cause analysis.

// key highlights

01
Provides an open reinforcement learning environment to train AI agents on realistic infrastructure failure scenarios.
02
Supports automated root-cause analysis by correlating logs, metrics, and traces across 40+ integrated cloud and observability tools.
03
Includes a suite of synthetic incident simulations to test agent accuracy, evidence gathering, and resilience against adversarial red herrings.
04
Offers runbook-aware reasoning, allowing agents to read and apply existing operational documentation during incident response.
05
Features flexible LLM support, enabling users to connect their preferred models including Anthropic, OpenAI, Ollama, and NVIDIA NIM.
06
Enables end-to-end testing across complex cloud environments like Kubernetes, AWS, and GCP to validate agent performance in real-world conditions.

// use cases

01
Automated production incident investigation and root-cause analysis
02
Execution of synthetic RCA suites and end-to-end infrastructure testing
03
Runbook-aware reasoning to suggest and perform remediation actions

// getting started

To begin, install the OpenSRE CLI using the provided shell or Homebrew scripts. Run 'opensre onboard' to configure your LLM provider and connect your infrastructure tools, then use 'opensre investigate' with a JSON alert fixture to start your first incident analysis.