596 lines
14 KiB
Markdown
596 lines
14 KiB
Markdown
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# On-Call Procedures
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Guide for on-call engineers managing VAPORA production operations.
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---
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## Overview
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**On-Call Responsibility**: Monitor VAPORA production and respond to incidents during assigned shift
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**Time Commitment**:
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- During business hours: ~5-10 minutes daily check-ins
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- During off-hours: Available for emergencies (paged for critical issues)
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**Expected Availability**:
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- Severity 1: Respond within 2 minutes
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- Severity 2: Respond within 15 minutes
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- Severity 3: Respond within 1 hour
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---
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## Before Your Shift Starts
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### 24 Hours Before On-Call
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- [ ] Verify schedule: "I'm on-call starting [date] [time]"
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- [ ] Update your calendar with shift times
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- [ ] Notify team: "I'll be on-call [dates]"
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- [ ] Share personal contact info if not already shared
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- [ ] Download necessary tools/credentials
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### 1 Hour Before Shift
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- [ ] Test pager notification system
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```bash
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# Verify Slack notifications working
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# Ask previous on-call to send test alert: "/test-alert-to-[yourname]"
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```
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- [ ] Verify access to necessary systems
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```bash
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# Test each required access:
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✓ SSH to bastion host: ssh bastion.vapora.com
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✓ kubectl to production: kubectl cluster-info
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✓ Slack channels: /join #deployments #alerts
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✓ Incident tracking: open Jira/GitHub
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✓ Monitoring dashboards: access Grafana
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✓ Status page: access status page admin
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```
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- [ ] Review current system status
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```bash
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# Quick health check
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kubectl cluster-info
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kubectl get pods -n vapora
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kubectl get events -n vapora | head -10
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# Should show: All pods Running, no recent errors
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```
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- [ ] Read recent incident reports
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- Check previous on-call handoff notes
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- Review any incidents from past week
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- Note any known issues or monitoring gaps
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- [ ] Receive handoff from previous on-call
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```
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Ask: "Anything I should know?"
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- Any ongoing issues?
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- Any deployments planned?
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- Any flaky services or known alerts?
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- Any customer complaints?
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```
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---
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## Daily On-Call Tasks
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### Morning Check-In (After shift starts)
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```bash
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# Automated check - run this first thing
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export NAMESPACE=vapora
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echo "=== Cluster Health ==="
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kubectl cluster-info
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kubectl get nodes
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echo "=== Pod Status ==="
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kubectl get pods -n $NAMESPACE
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kubectl get pods -n $NAMESPACE | grep -v Running
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echo "=== Recent Events ==="
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kubectl get events -n $NAMESPACE --sort-by='.lastTimestamp' | tail -10
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echo "=== Resource Usage ==="
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kubectl top nodes
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kubectl top pods -n $NAMESPACE
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# If any anomalies: investigate before declaring "all clear"
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```
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### Mid-Shift Check (Every 4 hours)
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```bash
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# Quick sanity check
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curl https://api.vapora.com/health
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curl https://vapora.app/
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# Should both return 200 OK
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# Check dashboards
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# Grafana: any alerts? any trending issues?
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# Check Slack #alerts channel
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# Any warnings or anomalies posted?
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```
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### End-of-Shift Handoff (Before shift ends)
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```bash
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# Prepare handoff for next on-call
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# 1. Document current state
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kubectl get pods -n vapora
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kubectl get nodes
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kubectl top pods -n vapora
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# 2. Check for known issues
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kubectl get events -n vapora | grep Warning
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# Any persistent warnings?
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# 3. Check deployment status
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git log -1 --oneline provisioning/
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# Any recent changes?
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# 4. Document in handoff notes:
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echo "HANDOFF NOTES - $(date)
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Duration: [start time] to [end time]
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Status: All normal / Issues: [list]
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Alerts: [any]
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Deployments: [any planned]
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Known issues: [any]
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Recommendations: [any]
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" > on-call-handoff.txt
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# 5. Pass notes to next on-call
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# Send message to @next-on-call with notes
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```
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---
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## Responding to Alerts
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### Alert Received
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**Step 1: Verify it's real**
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```bash
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# Don't panic - verify the alert is legitimate
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1. Check the source: is it from our system?
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2. Check current status manually: curl endpoints
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3. Check dashboard: see if issue visible there
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4. Check cluster: kubectl get pods
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# False alarms happen - verify before escalating
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```
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**Step 2: Assess severity**
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- Is service completely down? → Severity 1
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- Is service partially down? → Severity 2
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- Is there a warning/anomaly? → Severity 3
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**Step 3: Declare incident**
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```bash
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# Create ticket (Severity 1 is emergency)
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# If Severity 1:
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# - Alert team immediately
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# - Create #incident-[date] channel
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# - Start 2-minute update cycle
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# See: Incident Response Runbook
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```
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### During Incident
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**Your role as on-call**:
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1. **Respond quickly** - First 2 minutes are critical
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2. **Communicate** - Update team/status page
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3. **Investigate** - Follow diagnostics in runbooks
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4. **Escalate if needed** - Page senior engineer if stuck
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5. **Execute fix** - Follow approved procedures
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6. **Verify recovery** - Confirm service healthy
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7. **Document** - Record what happened
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**Key communication**:
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- Initial response time: < 2 min (post "investigating")
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- Status update: every 2-5 minutes
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- Escalation: if not clear after 5 minutes
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- Resolution: post "incident resolved"
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### Alert Examples & Responses
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#### Alert: "Pod CrashLoopBackOff"
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```
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1. Get pod logs: kubectl logs <pod> --previous
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2. Check for config issues: kubectl get configmap
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3. Check for resource limits: kubectl describe pod <pod>
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4. Decide: rollback or fix config
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```
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#### Alert: "High Error Rate (>5% 5xx)"
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```
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1. Check which endpoint: tail application logs
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2. Check dependencies: database, cache, external APIs
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3. Check recent deployment: git log
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4. Decide: rollback or investigate further
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```
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#### Alert: "Pod Memory > 90%"
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```
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1. Check actual usage: kubectl top pod <pod>
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2. Check limits: kubectl get pod <pod> -o yaml | grep memory
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3. Decide: scale up or investigate memory leak
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```
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#### Alert: "Node NotReady"
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```
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1. Check node: kubectl describe node <node>
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2. Check kubelet: ssh node-x && systemctl status kubelet
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3. Contact infrastructure team for hardware issues
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4. Possibly: drain node and reschedule pods
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```
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---
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## Monitoring Dashboard Setup
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When you start shift, have these visible:
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### Browser Tabs (Keep Open)
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1. **Grafana Dashboard** - VAPORA Cluster Overview
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- Pod CPU/Memory usage
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- Request rate and latency
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- Error rate
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- Deployment status
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2. **Kubernetes Dashboard**
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- kubectl port-forward -n kube-system svc/kubernetes-dashboard 8443:443
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- Or use K9s terminal UI: `k9s`
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3. **Alert Dashboard** (if available)
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- Prometheus Alerts
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- Or monitoring system of choice
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4. **Status Page** (if public-facing)
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- Check for ongoing incidents
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- Prepare to update
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### Terminal Windows (Keep Ready)
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```bash
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# Terminal 1: Watch pods
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watch kubectl get pods -n vapora
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# Terminal 2: Tail logs
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kubectl logs -f deployment/vapora-backend -n vapora
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# Terminal 3: General kubectl commands
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kubectl -n vapora get events --watch
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# Terminal 4: Ad-hoc commands and troubleshooting
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# (leave empty for ad-hoc use)
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```
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---
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## Common Questions During On-Call
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### Q: I think I found an issue, but I'm not sure it's a problem
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**A**: When in doubt, escalate:
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1. Post in #deployments channel with observation
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2. Ask: "Does this look normal?"
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3. If others confirm: might be issue
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4. Better safe than sorry (on production)
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### Q: Do I need to respond to every alert
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**A**: Yes. Even false alarms need verification:
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1. Confirm it's false alarm (not just assume)
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2. Update alert if it's misconfigured
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3. Never ignore alerts - fix the alerting
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### Q: Service looks broken but dashboard looks normal
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**A**:
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1. Check if dashboard might be delayed (sometimes refresh slow)
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2. Test manually: curl endpoints
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3. Check pod logs directly: kubectl logs
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4. Trust actual service health over dashboard
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### Q: Can I deploy changes while on-call
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**A**:
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- **Yes** if it's emergency fix for active incident
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- **No** for normal features/changes (schedule for dedicated deployment window)
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- **Escalate** if unsure
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### Q: Something looks weird but I can't reproduce it
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**A**:
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1. Save any evidence: logs, metrics, events
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2. Monitor more closely for pattern
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3. Document in ticket for later investigation
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4. Escalate if behavior continues
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### Q: An alert keeps firing but service is fine
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**A**:
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1. Investigate why alert is false
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2. Check alert thresholds (might be too sensitive)
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3. Fix the alert configuration
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4. Update alert runbook with details
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---
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## Escalation Decision Tree
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When should you escalate?
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```
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START: Issue detected
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Is it Severity 1 (complete outage)?
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YES → Escalate immediately to senior engineer
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NO → Continue
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Have you diagnosed root cause in 5 minutes?
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YES → Continue with fix
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NO → Page senior engineer or escalate
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Does fix require infrastructure/database changes?
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YES → Contact infrastructure/DBA team
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NO → Continue with fix
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Is this outside your authority (company policy)?
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YES → Escalate to manager
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NO → Proceed with fix
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Implemented fix, service still broken?
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YES → Page senior engineer immediately
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NO → Verify and close incident
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Result: Uncertain?
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→ Ask senior engineer or manager
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→ Always better to escalate early
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```
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---
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## When to Page Senior Engineer
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**Page immediately if**:
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- Service completely down (Severity 1)
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- Database appears corrupted
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- You're stuck for >5 minutes
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- Rollback didn't work
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- Need infrastructure changes urgently
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- Something affecting >50% of users
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**Don't page just because**:
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- Single pod restarting (monitor first)
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- Transient network errors
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- You're slightly unsure (ask in #deployments first)
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- It's 3 AM and not critical (use tickets for morning)
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---
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## End of Shift Handoff
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### Create Handoff Report
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```
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SHIFT HANDOFF - [Your Name]
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Dates: [Start] to [End] UTC
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Duration: [X hours]
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STATUS: ✅ All normal / ⚠️ Issues ongoing / ❌ Critical
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INCIDENTS: [Number]
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- Incident 1: [description, resolved or ongoing]
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- Incident 2: [description]
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ALERTS: [Any unusual alerts]
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- Alert 1: [description, action taken]
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DEPLOYMENTS: [Any scheduled or happened]
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- Deployment 1: [status]
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KNOWN ISSUES:
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- Issue 1: [description, workaround]
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- Issue 2: [description]
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MONITORING NOTES:
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- [Any trending issues]
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- [Any monitoring gaps]
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- [Any recommended actions]
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RECOMMENDATIONS FOR NEXT ON-CALL:
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1. [Action item]
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2. [Action item]
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3. [Action item]
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NEXT ON-CALL: @[name]
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```
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### Send to Next On-Call
|
||
|
|
|
||
|
|
```
|
||
|
|
@next-on-call - Handoff notes attached:
|
||
|
|
[paste report above]
|
||
|
|
|
||
|
|
Key points:
|
||
|
|
- [Most important item]
|
||
|
|
- [Second important]
|
||
|
|
- [Any urgent follow-ups]
|
||
|
|
|
||
|
|
Questions? I'm available for 30 min
|
||
|
|
```
|
||
|
|
|
||
|
|
---
|
||
|
|
|
||
|
|
## Tools & Commands Reference
|
||
|
|
|
||
|
|
### Essential Commands
|
||
|
|
|
||
|
|
```bash
|
||
|
|
# Pod management
|
||
|
|
kubectl get pods -n vapora
|
||
|
|
kubectl logs pod-name -n vapora
|
||
|
|
kubectl exec pod-name -n vapora -- bash
|
||
|
|
kubectl describe pod pod-name -n vapora
|
||
|
|
kubectl delete pod pod-name -n vapora # (recreates via deployment)
|
||
|
|
|
||
|
|
# Deployment management
|
||
|
|
kubectl get deployments -n vapora
|
||
|
|
kubectl rollout status deployment/vapora-backend -n vapora
|
||
|
|
kubectl rollout undo deployment/vapora-backend -n vapora
|
||
|
|
kubectl scale deployment/vapora-backend --replicas=5 -n vapora
|
||
|
|
|
||
|
|
# Service health
|
||
|
|
curl http://localhost:8001/health
|
||
|
|
kubectl get events -n vapora
|
||
|
|
kubectl top pods -n vapora
|
||
|
|
kubectl get endpoints -n vapora
|
||
|
|
|
||
|
|
# Quick diagnostics
|
||
|
|
kubectl describe nodes
|
||
|
|
kubectl cluster-info
|
||
|
|
kubectl get persistent volumes
|
||
|
|
```
|
||
|
|
|
||
|
|
### Useful Tools
|
||
|
|
|
||
|
|
```bash
|
||
|
|
# Install these on your workstation
|
||
|
|
brew install kubectl # Kubernetes CLI
|
||
|
|
brew install k9s # Terminal UI for K8s
|
||
|
|
brew install watch # Monitor command output
|
||
|
|
brew install jq # JSON processing
|
||
|
|
brew install yq # YAML processing
|
||
|
|
brew install grpcurl # gRPC debugging
|
||
|
|
|
||
|
|
# Aliases to save time
|
||
|
|
alias k='kubectl'
|
||
|
|
alias kgp='kubectl get pods'
|
||
|
|
alias klogs='kubectl logs'
|
||
|
|
alias kexec='kubectl exec'
|
||
|
|
```
|
||
|
|
|
||
|
|
### Dashboards & Links
|
||
|
|
|
||
|
|
Bookmark these:
|
||
|
|
- Grafana: `https://grafana.vapora.com`
|
||
|
|
- Status Page: `https://status.vapora.com`
|
||
|
|
- Incident Tracker: `https://github.com/your-org/vapora/issues`
|
||
|
|
- Runbooks: `https://github.com/your-org/vapora/tree/main/docs/operations`
|
||
|
|
- Kubernetes Dashboard: Run `kubectl proxy` then `http://localhost:8001/ui`
|
||
|
|
|
||
|
|
---
|
||
|
|
|
||
|
|
## On-Call Checklist
|
||
|
|
|
||
|
|
### Starting Shift
|
||
|
|
- [ ] Verified pager notifications working
|
||
|
|
- [ ] Tested access to all systems
|
||
|
|
- [ ] Reviewed current system status
|
||
|
|
- [ ] Read recent incidents
|
||
|
|
- [ ] Received handoff from previous on-call
|
||
|
|
- [ ] Set up monitoring dashboards
|
||
|
|
- [ ] Opened necessary terminal windows
|
||
|
|
- [ ] Posted "on-call" status in #deployments
|
||
|
|
|
||
|
|
### During Shift
|
||
|
|
- [ ] Responded to all alerts within SLA
|
||
|
|
- [ ] Updated incident status regularly
|
||
|
|
- [ ] Escalated when appropriate
|
||
|
|
- [ ] Documented actions in tickets
|
||
|
|
- [ ] Verified fixes before closing
|
||
|
|
- [ ] Communicated clearly with team
|
||
|
|
|
||
|
|
### Ending Shift
|
||
|
|
- [ ] Created handoff report
|
||
|
|
- [ ] Resolved or escalated open issues
|
||
|
|
- [ ] Updated monitoring for anomalies
|
||
|
|
- [ ] Passed report to next on-call
|
||
|
|
- [ ] Closed out incident tickets
|
||
|
|
- [ ] Verified next on-call is ready
|
||
|
|
- [ ] Posted "handing off to [next on-call]" in #deployments
|
||
|
|
|
||
|
|
---
|
||
|
|
|
||
|
|
## Post-On-Call Follow-Up
|
||
|
|
|
||
|
|
After your shift:
|
||
|
|
|
||
|
|
1. **Document lessons learned**
|
||
|
|
- Did you learn something new?
|
||
|
|
- Did any procedure need updating?
|
||
|
|
- Were any runbooks unclear?
|
||
|
|
|
||
|
|
2. **Update runbooks**
|
||
|
|
- If you found gaps, update procedures
|
||
|
|
- If you had questions, update docs
|
||
|
|
- Share improvements with team
|
||
|
|
|
||
|
|
3. **Communicate findings**
|
||
|
|
- Anything the team should know?
|
||
|
|
- Any recommendations?
|
||
|
|
- Trends to watch?
|
||
|
|
|
||
|
|
4. **Celebrate successes**
|
||
|
|
- Any incidents quickly resolved?
|
||
|
|
- Any new insights?
|
||
|
|
- Recognize good practices
|
||
|
|
|
||
|
|
---
|
||
|
|
|
||
|
|
## Emergency Contacts
|
||
|
|
|
||
|
|
Keep these accessible:
|
||
|
|
|
||
|
|
```
|
||
|
|
ESCALATION CONTACTS:
|
||
|
|
|
||
|
|
Primary Escalation: [Name] [Phone] [Slack]
|
||
|
|
Backup Escalation: [Name] [Phone] [Slack]
|
||
|
|
Infrastructure: [Name] [Phone] [Slack]
|
||
|
|
Database Team: [Name] [Phone] [Slack]
|
||
|
|
Manager: [Name] [Phone] [Slack]
|
||
|
|
|
||
|
|
External Contacts:
|
||
|
|
AWS Support: [Account ID] [Contact]
|
||
|
|
CDN Provider: [Account] [Contact]
|
||
|
|
DNS Provider: [Account] [Contact]
|
||
|
|
|
||
|
|
EMERGENCY PROCEDURES:
|
||
|
|
- Complete AWS outage: Contact AWS support immediately
|
||
|
|
- Database failure: Contact DBA, activate backups
|
||
|
|
- Security incident: Contact security team immediately
|
||
|
|
- Major data loss: Activate disaster recovery
|
||
|
|
```
|
||
|
|
|
||
|
|
---
|
||
|
|
|
||
|
|
## Remember
|
||
|
|
|
||
|
|
✅ **You are the guardian of production** - Your vigilance keeps services running
|
||
|
|
|
||
|
|
✅ **Better safe than sorry** - Escalate early and often
|
||
|
|
|
||
|
|
✅ **Communication is key** - Keep team informed
|
||
|
|
|
||
|
|
✅ **Document everything** - Future you and team will thank you
|
||
|
|
|
||
|
|
✅ **Ask for help** - No shame in escalating
|
||
|
|
|
||
|
|
❌ **Don't guess** - Verify before taking action
|
||
|
|
|
||
|
|
❌ **Don't stay silent** - Alert team to any issues
|
||
|
|
|
||
|
|
❌ **Don't ignore alerts** - Even false ones need investigation
|