SRE & On-Call Automation
Your AI Agent Investigates While You Sleep
Tired of being woken up at 3am to manually dig through logs? Argos investigates incidents the moment they fire, correlates across your entire stack, and either fixes the issue or hands you a root cause analysis — before you finish your coffee.
The SRE Pain We Solve
😴 3am Alert Fatigue
PagerDuty fires. You SSH into 3 machines, check Grafana, scroll through Loki, read the last deployment's diff. 45 minutes later, you find it was a HPA misconfiguration.
→ Argos does this in 30 seconds.
🔀 Context Switching Hell
Prometheus for metrics. Loki for logs. kubectl for pod states. Git for recent changes. Jira for related tickets. Slack for team context. You're the human glue between 10 tools.
→ Argos queries all 10 in one conversation.
📝 Knowledge Silos
"Ask Sarah, she fixed this last time." But Sarah is on vacation. The runbook is outdated. The post-mortem is buried in Confluence.
→ Argos has your KB, memory, and runbooks indexed.
Your On-Call Copilot
🤖 Auto-Investigation on Alert
Configure any alert rule to trigger auto-investigation. When PagerDuty fires, Argos immediately queries Prometheus metrics, Loki logs, K8s events, and recent Git commits. You get a Slack summary with root cause before you open your laptop.
🩺 Daily Health Briefings
Health Notebooks run every morning at 8am: "Cluster health: 92/100. CPU pressure on worker-3, certificate expiring in 12 days, 3 pods in CrashLoopBackOff." Sent to your Slack channel with a delta vs. yesterday.
⚡ Auto-Remediation
Known patterns get fixed automatically: restart crashed pods, scale up under load, clear Redis cache when memory hits 90%, rollback if error rate spikes after deploy. All with audit trail and optional human approval.
⏰ Proactive Checks
Periodic jobs catch issues before they become incidents: "Check SSL certs weekly", "Verify backup completion daily", "Alert if any PV is above 80% capacity." Scheduled with cron, results sent to your channels.
Real Scenario: 3am Database Saturation
03:12 — Alert fires
HTTP monitor on /api/orders returns 500. PagerDuty triggered. Argos auto-investigation starts.
03:12 — Argos investigates
Queries Prometheus: connection pool exhausted. Checks Loki: "too many connections" errors. Checks K8s: pod count normal. Checks Git: migration deployed at 02:45 added a new table with missing index.
03:13 — Root cause identified
Migration v2.14.0 created table `order_audit_logs` without index on `order_id`. Full table scans saturating connection pool.
03:13 — Remediation
Argos proposes: "Add index on order_audit_logs.order_id" + creates Jira ticket with full context. You approve from your phone. Done.
Sleep Better. Resolve Faster.
Your AI on-call copilot investigates, diagnoses, and fixes — so you don't have to at 3am.