Aiden for SRE by StackGen
by StackGen
AI SRE agent that finds root cause in minutes and fixes incidents within your guardrails.
Aiden for SRE is the AI SRE agent from StackGen. Aiden takes the toil out of incident response: it investigates every alert, names the root cause with evidence, proposes or runs the fix within the guardrails you set, and protects your SLOs. It works from the telemetry, deployment and change data you already have, so there is no new observability stack to adopt first.
Proof from production
- 80% faster root cause analysis, under 2 minutes, measured on StackGen's own on-call.
- 50% lower incident MTTR at greytHR, as published in the StackGen case study at stackgen.com/case-studies.
- 65% less manual remediation effort at a global SaaS company (anonymized customer).
How Aiden for SRE works
- Triage: correlates alerts to remove duplicates and ranks what is left by SLO impact and blast radius. An alert storm becomes one incident with one epicenter.
- Investigate: correlates logs, metrics, traces and recent diffs to a root cause with a confidence score, testing likely causes in parallel: deploy regressions, secret sync, config drift and more.
- Remediate: opens the fix as a pull request or runs an approved runbook. Reads are automatic; writes wait for human approval.
- Learn: every investigation is stored with its evidence, reasoning and actions as a searchable audit trail, and SLO error-budget burn is tracked continuously.
Key capabilities
- Aiden World Model: one model of your services across observability tools, Terraform deployments and CI/CD, even where names and timestamps differ between systems such as Grafana and Datadog.
- Alert intelligence: one epicenter per incident, with everything else tagged as blast radius.
- Failure analysis: vendor-specific analysis for Redis, Kafka, Kubernetes, managed databases and more, loaded straight from the alert.
- Governed fixes: guardrails, RBAC, memory and MCP and A2A support through the Aiden OS agentic harness, with human-in-the-loop approval for every change.
- SLO protection: ranks the queue by error budget at risk, not alert volume.
- Bring your own LLM: choose the model for each task.
Ask it anything, in plain language
"What changed before this spike?" "What needs a human review right now?" "How much error budget is left on search?" "Roll back the last deploy and verify."
Deploy your way
Run Aiden for SRE as managed cloud, private SaaS or self-hosted.
Built for SRE and platform teams, incident responders and engineering leaders who need faster recovery without giving up control.
Part of the Autonomous Operations Factory
Aiden for SRE is the SRE agent in StackGen's Autonomous Operations Factory. It shares the Aiden World Model with the Aiden agents for InfraOps, DevOps and Observability, so incident response draws on the same context as infrastructure, delivery and monitoring.
Trusted by Nielsen, Autodesk, Bancolombia, OneTrust, InMobi and Chamberlain.
StackGen is a Microsoft Solutions Partner and the autonomous operations company. Its Aiden agents run infrastructure, delivery, observability and incident response under policy you set.
Book a demo: stackgen.com/schedule-demo