Shared agents
Alerts
Real-time and scheduled, built for scale.
- Reliability & Incident Management
//AI SRE
Your AI SRE. Root causebefore you wake up.
A 24/7 AI SRE that starts investigating the second an alert fires, so you arrive to root causes instead of raw telemetry.
Always on
Investigating before you log in
The agent starts the moment an alert fires, not when someone opens a ticket.
Evidence
Verifiable evidence
A complete audit trail of every log, trace, and metric the agent used.
BYO model
Bring your own AI provider
Your LLM provider and API key, so you stay in control of security, governance, and spend.
//Overview
What is an AI SRE?
An AI SRE is an AI agent that investigates production incidents like a site reliability engineer: it starts when an alert fires, queries telemetry, tests hypotheses and reports a likely root cause with evidence.
The DataObserve Sense AI SRE works 24/7 on full-fidelity telemetry, shows its reasoning and complete evidence chain at every step, maps impact, remembers past incidents and runs on the AI provider you choose, including self-hosted models.
//How the agent works
Investigates like a senior SRE
Structured findings
Diagnosis, root cause, and fix, with an actionable remediation plan.
Complete evidence chain
Correlated signals, topology graphs, and the incident timeline.
Impact mapping
Upstream causes and downstream effects across services.
Autonomous tool execution
Uses the platform's tools via MCP, the way a person would, without missing a step.
Reasoning at every step
Shows what it analyzed and how it concluded, so engineers can validate it.
Never forgets
Every incident joins the knowledge base for the next one.
//Explore more withDataObserve
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Define what working means, measure it continuously, and alert on how fast you're burning error budget, on the engine that holds your logs, metrics, and traces.
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No SQL required, answers in seconds.
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//FAQs
AI SRE: questions teams ask
Where does my data go?
To your configured provider only. With a self-hosted model, telemetry never leaves your infrastructure.
Which providers are supported?
OpenAI, Anthropic, Google Gemini, AWS Bedrock, DeepSeek, OpenRouter, and any OpenAI-compatible endpoint.
Does it need sampled data?
No. It reasons over full-fidelity telemetry, so nothing it needs was dropped.
Can the AI SRE fix problems on its own?
It investigates and recommends. Running remediation is up to your runbooks and approvals, so people stay in control of production changes.
How do I know the AI SRE is right?
Every finding comes with the queries, data and reasoning behind it, so an engineer can verify each step.
