Kubernetes incidents are still brutally manual
Your observability stack generates data. It doesn't generate answers. The gap between "alert fired" and "issue resolved" is still filled by humans.
3 AM pages for issues that fix themselves
Your on-call rotation is burning out. Engineers are woken up for alerts that resolve on their own, or that require the same manual steps every single time.
Root cause takes hours, not minutes
You're jumping between Grafana, Kibana, Jaeger, and Slack threads trying to correlate what happened. By the time you find it, the damage is done.
You don't know what else broke
Microservices fail in cascades. One service going down takes three others with it. You find out about the downstream impact from users, not your tools.
Postmortems are written from memory
After a long incident, someone has to reconstruct the timeline from Slack messages and runbook notes. It's incomplete, inconsistent, and nobody reads it.
Tagent closes that gap. AI that understands your system, not just your metrics.
Everything your SRE team does, automated
Tagent doesn't just alert you. It understands what's happening and acts on it.
AI Root Cause Analysis
Correlates signals across logs, metrics, and traces to identify the actual cause — not just the symptom. No more grep-and-guess.
→ Root cause: DB connection pool exhausted (87/100 connections)Incident Correlation Engine
Groups related alerts into a single incident context. Understands that 47 firing alerts are one problem, not 47 problems.
→ 47 alerts grouped → 1 incident: payment-service degradationBlast Radius Analysis
Maps service dependencies in real time. Know exactly which services are affected before your users do.
→ Blast radius: 3 services affected (checkout, orders, notifications)Auto-Remediation Engine
Executes pre-approved runbooks automatically. Scales pods, restarts services, adjusts configs — with full audit trail.
→ Remediation: kubectl scale deployment/payment --replicas=10Incident Memory & Learning
Stores every incident, root cause, and resolution. Next time a similar pattern appears, Tagent already knows what to do.
→ Similar incident found (2024-11-03). Applying known fix.Automated Postmortems
Generates structured incident reports with timeline, root cause, impact, and action items. Ready before your standup.
→ Postmortem generated: incident-2025-01-15.mdNatural Language Querying
Ask your infrastructure questions in plain English. "Why is checkout slow?" gets you a real answer, not a dashboard link.
$ tagent ask "why is checkout slow?"→ DB query regression in payment-service v2.3.1$ tagent ask "what changed before the outage?"→ Deployment: api-gateway v1.8.2 at 14:32 UTC$ tagent ask "is this incident related to last week?"→ Yes. Same root cause. Applying known fix.Watch a system think and act
Simulated production incident · Kubernetes · AI-driven resolution in 47 seconds
service dependency graph
Watch Tagent handle a real incident
From anomaly detection to auto-remediation — 47 seconds, zero human intervention.
From cluster to autonomous incident response
Four steps. One Helm install. No rearchitecting your stack.
Connect your cluster
Deploy the Tagent agent with a single Helm command. It connects to your Kubernetes API, Prometheus, and log aggregator. No code changes required.
helm install tagent tagent/tagent \
--set cluster.name=prod-us-east \
--set integrations.prometheus=trueAI analyzes patterns
Tagent ingests telemetry continuously. It builds a dependency graph of your services and learns what "normal" looks like for your specific workloads.
✓ Dependency graph built: 47 services
✓ Baseline established: 72h learning period
✓ Anomaly detection: activeDetect, diagnose, act
When something breaks, Tagent identifies root cause, maps blast radius, and either suggests a fix or executes a pre-approved remediation automatically.
⚠ Incident detected: payment-service
→ Root cause: DB pool exhausted
→ Blast radius: 3 services
✓ Remediation applied: 47sLearn and document
Every incident is stored in the incident memory system. Postmortems are generated automatically. Future similar incidents resolve faster.
✓ Postmortem: incident-2025-01-15.md
✓ Memory updated: DB pool pattern
✓ Next occurrence: auto-resolvedReal scenarios. Real results.
The situations your team faces every week — handled differently with Tagent.
Production outage at 3 AM
Night Mode“payment-service returns 503s. On-call gets paged.”
Cascading microservice failure
Blast Radius“One service degrades. Three others start failing silently.”
Recurring incident pattern
Incident Memory“Same DB connection issue appears every Monday morning.”
Debugging complex microservices
NL Querying“"Checkout is slow" — but which of 12 services is the culprit?”
Incident timeline — what Tagent does while you sleep
payment-service p99 latency > 2s
DB connection pool at 87/100
3 downstream services affected
Pool scaled to 200. Latency normalized.
Secure, extensible, cloud-native
Tagent runs inside your cluster. Your data never leaves your environment. Integrates with your existing stack — no rip-and-replace.
Telemetry Ingestion
- Kubernetes events
- Prometheus metrics
- Log streams (Loki, Elastic)
- Distributed traces (Jaeger, OTEL)
AI Correlation Engine
- Anomaly detection
- Root cause analysis
- Blast radius mapping
- Pattern matching vs. memory
Incident Memory
- Incident knowledge graph
- Runbook library
- Resolution patterns
- Postmortem archive
Remediation Runtime
- Kubernetes API executor
- Terraform runner
- Custom webhook actions
- Full audit trail
Security-first design
Tagent uses Kubernetes RBAC with least-privilege access. All remediation actions require explicit approval or pre-approved runbooks. Full audit log of every action taken. SOC 2 compliant for enterprise deployments.
Works with your existing stack
Built in the open. Trusted by engineers.
Apache 2.0 licensed. Free forever. No usage limits, no telemetry you didn't opt into, no surprise pricing changes.
No vendor lock-in
Your incident data, your runbooks, your cluster. Tagent runs in your environment and you own everything.
Auditable by design
Every AI decision, every remediation action is logged and explainable. No black boxes in production.
Community-driven roadmap
Features are prioritized by the engineers who use it. File an issue, open a PR, shape the product.
Tagent-dev/Tagent
Star the repo, read the code, open an issue, or submit a PR. All contributions welcome.
Start building resilient systems
One Helm install. No credit card. No vendor lock-in. Your cluster, your data, your control.
Apache 2.0 · Runs in your cluster · No data leaves your environment