Better Stack | AI SRE Agent
Better Stack AI SRE Agent is an AI-powered site reliability engineering assistant designed to streamline incident investigation and resolution. It operates natively within Slack and Microsoft Teams, allowing engineers to interact with it through natural language commands and tags. The agent leverages a comprehensive set of observability data—including logs, metrics, traces, errors, and web events—to perform in-depth root cause analysis. It correlates recent deployments, error patterns, trace slowdowns, metric anomalies, and log changes to generate hypotheses about incident causes, reducing the need for manual cross-tool investigation. The platform goes beyond analysis by providing actionable outputs. It can automatically submit pull requests with suggested code fixes for new errors, generate AI-written post-mortems, and create Linear tickets based on incident context. Its eBPF-based service map and OpenTelemetry integration require no code changes, delivering host metrics and RED (Rate, Error, Duration) metrics for services across the stack. Additionally, the agent supports a human-in-the-loop workflow, ensuring that it never takes automated actions without approval, giving teams full control during critical situations. Better Stack AI SRE Agent also excels in integration and extensibility. It plugs into popular tools like Datadog, Grafana, Sentry, Linear, and Notion, centralizing data for analysis. A robust MCP (Model Context Protocol) server allows users to integrate observability data into custom LLM workflows, including rendering charts directly in Claude Desktop. The built-in incident management and on-call scheduling ensure a seamless escalation process, making it a comprehensive solution for modern engineering teams. Security and compliance are prioritized, with SOC 2 Type 2 attestation, GDPR compliance, and ISO 27001 certified data centers. This makes the tool suitable for enterprise environments that require strict data privacy standards. Overall, the AI SR
- Category
- AI Agents
- Pricing
- Freemium
Problem solved
Engineering teams, especially SREs and on-call developers, often face stressful incident investigations at odd hours, requiring them to manually sift through disparate logs, metrics, and traces across multiple tools. This fragmented process delays root cause identification and resolution, increasing downtime and impacting service reliability. Better Stack AI SRE Agent solves this by providing a unified, AI-driven assistant that automatically correlates observability data, generates root cause hypotheses, and delivers actionable outputs like code fix suggestions and post-mortems, all within communication platforms like Slack. This reduces cognitive load, accelerates incident resolution, and empowers teams to maintain high availability with less manual effort.
Use cases
- On-call engineers receive a Slack alert and tag @betterstack to initiate an automated root cause analysis, receiving hypotheses based on recent deployments and log anomalies.
- A developer queries the agent in natural language to 'show a chart of HTTP latency in us-east for the last hour' and gets an instant visualization without leaving Slack.
- When a new exception appears in production, the AI SRE automatically creates a pull request with a suggested code fix, streamlining the debugging process.
- Post-incident, the team uses the agent to generate an AI-written post-mortem that includes the incident timeline and Slack discussions, saving hours of manual documentation.
- A platform team integrates all observability data into their custom LLM workflows via the MCP server, enabling advanced analysis in tools like Claude Desktop.
Audience
- Developers
- Enterprise
- Startups
Pros
- Slack and Microsoft Teams native interaction reduces context switching.
- Comprehensive data correlation across logs, metrics, traces, and web events.
- Human-in-the-loop ensures no automated actions without approval.
- Automated suggestion of pull requests for new errors accelerates fixes.
- Built-in incident management and on-call scheduling.
Cons
- Dependent on the Better Stack ecosystem for full functionality.
- Freemium model may limit advanced features or data retention.
- Initial setup of integrations with external tools may require effort.
Official website: https://betterstack.com/ai-sre
Canonical LambdaBase page: https://www.lambdabase.com/tools/better-stack-ai-sre-agent