Akido
Resolve incidents faster, with answers from your systems
Akido turns logs, metrics, traces, deploys, and runbooks into a searchable, reasoning-capable layer so SRE and platform teams can diagnose issues quickly and automate safely.Modern production systems generate more context than any on-call engineer can hold in working memory. Akido stitches together your operational signals and knowledge, surfaces the most likely causes with evidence, and proposes next steps with guardrails—so you can reduce MTTR without increasing risk.
Truly Understand Incidents
The incident “sensemaking” tax is crushing DevOps teams.If your systems are complex, your operational knowledge needs to be computable—not scattered.
Tool Sprawl
The truth is split across observability, CI/CD, infra config, tickets, and docs.
Alert Overload
Lots of signal, not enough correlation or prioritization.
Automation Risk
Teams avoid automation without approvals, evidence, and audit trails.
What is AKIDO?
Akido is Adaptive Knowledge Infrastructure for Developer Operations.
It connects to your telemetry and operational knowledge, then helps operators:- ask better questions in natural language,
- get answers with evidence,
- generate investigation paths and remediation plans,
- and learn from every incident so you don’t repeat the same outage.
From Signals to Decisions
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Grounded Incident Investigation
“What changed?” “What’s failing?” “What should we check next?” Ranked hypotheses supported by evidence (dashboards, logs, deploy diffs, runbooks)
Timeline + Context Stitching
Auto-synthesize a timeline from alerts, deploys, incidents, and related docs. Pull in service ownership, dependencies, and recent changes.
Runbook Intelligence
Retrieve the right runbook steps based on symptoms and environment. Turn runbooks into actionable checklists and safe execution plans.
Human-in-the-Loop Automation
Propose remediations (rollback, scale, config change) with approvals. Policy checks, blast-radius thinking, and audit trails.
Built for DevOps Teams
SRE / DevOps / Platform Engineering teams running cloud-native systems
Engineering leaders accountable for reliability and MTTR
Organizations where automation must be governed (approvals, auditability)
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