Section 9

Phase 7: Post-Launch & Operations

13 sub-sections in this chapter

Phase 7: Post-Launch & Operations

Modernization Overlay: Apply the 2026 Modernization Addendum controls (AI assist + RTG linkage) before phase exit.

Purpose

Support production system, monitor performance, fix urgent issues, and maintain SLAs.

Duration

Ongoing (first 2-4 weeks intensive, then ongoing)

Key Activities

7.1 Operational Monitoring

Lead: DevOps / SRE Team
Tools: Prometheus, Grafana, PagerDuty

Monitoring Dashboards:

Real-time Dashboard:

┌──────────────────────────────────────────┐ │ Payment App Production Monitoring │

├──────────────────────────────────────────┤ │ System Status: Healthy ✓ │ │ Uptime: 99.98% (Last 24h) │ │ Active Users: 2,450 (↑ 15% from yesterday)│ │ │ │┌─ Performance ─────────────────────────┐│ ││ Response Time (p95): 142ms ││ ││ Error Rate: 0.06% ││ ││ Transactions/sec: 45 ││ │└────────────────────────────────────────┘│ │ │ │┌─ Infrastructure ───────────────────────┐│ ││ CPU: 45% (↑ from 35% peak traffic) ││ ││ Memory: 62% ││ ││ Disk: 35% ││ ││ Database: 180ms latency ││ │└────────────────────────────────────────┘│ │ │ │┌─ Payment Processing ───────────────────┐│ ││ Success Rate: 99.98% ││ ││ Failed Payments: 2 (investigated) ││ ││ Avg Processing Time: 1.2s ││ │└────────────────────────────────────────┘│ └──────────────────────────────────────────┘

Alerting Rules:

Alert 1: High Error Rate Condition: Error rate > 1% for 5 minutes Action: PagerDuty → On-call engineer woken up Message: "High error rate detected in payments API" Context: Recent deployments, recent code changes

Alert 2: Database Performance Condition: Query time > 500ms (p95) for 5 minutes Action: PagerDuty → Database on-call Message: "Database performance degradation detected"

Alert 3: Memory Leak Condition: Memory usage increasing without leveling off Action: PagerDuty → Backend on-call Message: "Potential memory leak detected"

Alert 4: Payment Processor Down

Condition: Cannot connect to Stripe API for 2 minutes Action: PagerDuty → Backend + On-call Message: "Payment gateway offline - no transactions possible"

7.2 Incident Response

Lead: On-Call Engineer (rotates daily)
Tool: PagerDuty

Incident Response Process:

Incident Occurs (Error rate spikes): │

├─ 14:05: Alert triggered (error rate 2.5%) │ PagerDuty pages on-call engineer (John) │ ├─ 14:06: John joins war room (Slack channel #incidents) │ Opens monitoring dashboards │ Gathers logs from ELK Stack │

├─ 14:07: Root cause identified │ "Payment service consuming 100% CPU" │ Recent code change causing infinite loop │

├─ 14:08: Incident classified │ Severity: CRITICAL │ Status: INVESTIGATING │ ETA: 15 minutes │ ├─ 14:10: Mitigation options: │ Option A: Rollback code change (5 min) │ Option B: Scale payment service (3 min) │ Choice: Option B (quicker, safer) │ ├─ 14:12: Scale payment service

│ Increase pods: 2 → 4

│ Error rate drops from 2.5% → 0.3% │ ├─ 14:13: Status: RESOLVED │ Incident resolved in 8 minutes │ System returned to normal │

├─ 14:20: Communication to users
│ "Brief service disruption 14:05-14:13 UTC

│ All payments were queued and processed successfully"

│

└─ 15:00: Post-incident review

Root cause: Code change lacked load testing

Action items:

Review code change (why not caught in testing?) ☐

Add performance test to CI/CD ☐

Update deployment process ☐

Incident Report (Filed in Jira):

├─ Incident ID: INC-001
├─ Severity: CRITICAL
├─ Duration: 8 minutes (14:05-14:13 UTC)
├─ Impact: 150 transactions delayed
├─ Root Cause: Inefficient loop in payment processor
├─ Impacted Requirements: REQ-PAY-017, REQ-PAY-021
├─ Resolution: Scaled pods and fixed code
├─ Action Items:
│ Add load testing to deployment process ☐
│ Review code review checklist for performance ☐
│ Link incident to impacted requirement IDs in traceability graph ☐
│└─ (Will be completed by PM within 1 week)
└─ Status: CLOSED

On-Call Rotation:

Weekly schedule (published in #oncall Slack):

Week 1:

├─ Mon-Tue: John (Backend expertise)
├─ Wed-Thu: Sarah (Frontend expertise)
└─ Fri-Sun: Alex (Full-stack, DevOps)

On-Call Responsibilities:

├─ Monitor production systems (active 24 hours)
├─ Respond to PagerDuty alerts (<5 min)
├─ Investigate and mitigate issues
├─ Communicate status to team
├─ Escalate if needed
└─ Document incidents

Escalation:

├─ Level 1: On-call engineer
├─ Level 2: Tech Lead (if L1 can't resolve)
├─ Level 3: PM (business decisions)
└─ Level 4: CEO (critical issues)
7.3 Support Ticket Management
- Lead: Customer Support Team
- Tool: Zendesk or Jira Service Desk

Support SLA (Service Level Agreement):

Priority Level | First Response | Resolution Target | Example

Example tickets:

Ticket #101 Title: "Payment declining with insufficient funds message" Customer: acme@company.com Created: 2025-12-21 08:30 UTC Priority: P2 (High - revenue impacting) Description: "I'm trying to pay with my Amex but getting error 'Insufficient funds' even though my card has balance." Response (30 min): "I've escalated to our payments team. Your card should be re-enabled within 2 hours." Resolution (2h): "Issue was Stripe declining card for fraud check. Card is now unblocked. Please try again." Status: RESOLVED (customer confirmed payment success)

─────────────────────────────────────────────────────────────

Ticket #102

Title: "Question about transaction history export" Customer: user123@example.com Created: 2025-12-21 14:00 UTC Priority: P4 (Low - question/feature request) Description: "Can I export my transaction history as CSV?" Response (by 15:00): "Good question! You can download CSV from Accounts → Downloads. Instructions here: [link]" Status: RESOLVED

Support Dashboard:

Customer Support Metrics (Daily): ├─ Open Tickets: 8

│├─ P1: 1 (payment issue)

│├─ P2: 2 (feature questions)

│├─ P3: 3 (minor bugs)

│└─ P4: 2 (feedback/ideas)

├─ Average Response Time: 45 minutes
├─ Average Resolution Time: 6 hours
├─ CSAT Score: 4.3/5.0
├─ NPS (Net Promoter Score): +32
└─ Most common issue: Account verification (25% of tickets)

7.4 Weekly Status Reports

Lead: PM
Audience: Stakeholders, Executives

Weekly Status Report Template:

[Product Name] Weekly Status Report Week of: Dec 16-22, 2025

Executive Summary:

✓ Product launched successfully (Dec 20)
✓ 2,500+ active users in first 24 hours
✓ System performing well (99.98% uptime)
✓ One minor incident (resolved in 8 minutes)
✓ Customer satisfaction: 4.3/5.0

Key Metrics:

├─ Active Users: 2,500 (↑ 400% from soft launch) ├─ Transactions: 25,000 (↑ strong adoption)
├─ Error Rate: 0.08% (within targets)
├─ System Uptime: 99.98% (exceeded target 99.5%)
└─ Customer CSAT: 4.3/5.0 (target: >4.0)

What Went Well:

✓ Deployment executed flawlessly
✓ Payment processing stable
✓ User adoption exceeded expectations
✓ Customer support responsive
✓ Infrastructure handled load well

What Needs Attention:

⚠ Two users confused about transaction verification
⚠ Email notifications delayed (fixed in monitoring)
⚠ One edge case with currency conversion

Upcoming This Week:

├─ Monitor for issues during business hours
├─ Start gathering user feedback for roadmap
├─ Plan post-launch retrospective
└─ Design features for Q1 release

Risks & Mitigation:

├─ Risk: Payment processor outage could break revenue
│ Mitigation: Added backup processor, switch in 5 minutes ├─ Risk: Rapid user growth could overload database
│ Mitigation: Auto-scaling enabled, tested up to 10K users
└─ Risk: Security vulnerability in payment code
Mitigation: Regular security scans, code review process

Blockers/Dependencies:

├─ Stripe webhooks: Working (tested)
├─ Email service: Working (SendGrid)
└─ Analytics: Connected (Mixpanel)

Next Week Outlook:

├─ Monitor system performance
├─ Gather detailed user feedback
├─ Plan Q1 roadmap └─ Start work on first post-launch features

Success Criteria (Post-Launch)

✅ 99.5%+ uptime maintained ✅ <0.1% error rate ✅ >99.9% payment success rate ✅ CSAT >4.0/5.0 ✅ <1 hour incident resolution ✅ Support SLAs met ✅ Customer adoption ramping up

Use in workspace Delivery cockpit