What is the Fixing Production Incidents Before They course about?
You're the on-call engineer when an alert fires. Logs are scattered, dependencies aren’t documented, and the last person who owned the service moved teams. You spend hours reverse-engineering context while SLOs burn. This happens repeatedly, not because of skill gaps, but because incident response relies on tribal knowledge and inconsistent tooling. The cost isn’t just downtime; it’s burnout, eroded trust, and stalled.
What situation is the Fixing Production Incidents Before They for?
You're the on-call engineer when an alert fires. Logs are scattered, dependencies aren’t documented, and the last person who owned the service moved teams. You spend hours reverse-engineering context while SLOs burn. This happens repeatedly, not because of skill gaps, but because incident response relies on tribal knowledge and inconsistent tooling. The cost isn’t just downtime; it’s burnout, eroded trust, and stalled.
Who is the Fixing Production Incidents Before They course for?
A hands-on software engineer in a mid-to-large tech company managing production systems with frequent, high-severity incidents and inconsistent postmortem follow-through.
Who is the Fixing Production Incidents Before They course not for?
Engineers who only work on greenfield projects with no production responsibility, or those in organizations with mature SRE teams handling all incidents.
What do you take away from the Fixing Production Incidents Before They course?
Deploy a personal triage protocol that cuts mean time to resolution by 30-50% Build a living service ownership map for your stack Create auto-triggered incident playbooks synced to monitoring tools Run targeted blameless postmortems that drive real fixes Reduce re-escalation of resolved incidents by documenting root causes effectively.
How does this map to your situation?
After an incident with unclear ownership When on-call rotation starts Following repeated alert fatigue Before rolling out a new service.
What's included with your purchase?
12 modules with 12 chapters each (144 chapters) Downloadable templates and worked examples for every module Hand-built implementation playbook delivered alongside course access 30-day money-back guarantee.
What does the Fixing Production Incidents Before They cover on delivery and format?
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access. Time investment: Approximately 3-4 hours per module, designed to be completed incrementally during work hours or personal development time.
Closely related courses: Fixing Incident Escalations Before They Hit Production, Fix SRE Incident Review Delays Before They Escalate, Fixing IT Incident Escalations Before They Reach, Fixing Escalated Linux Incidents Before They Block.
More answers: what you get with every course, refund policy, all help answers.
A tailored course, built for your situation
Fixing Production Incidents Before They Escalate
A tactical playbook for software engineers managing high-pressure system failures
The situation this course is for
You're the on-call engineer when an alert fires. Logs are scattered, dependencies aren’t documented, and the last person who owned the service moved teams. You spend hours reverse-engineering context while SLOs burn. This happens repeatedly, not because of skill gaps, but because incident response relies on tribal knowledge and inconsistent tooling. The cost isn’t just downtime; it’s burnout, eroded trust, and stalled feature work.
Who this is for
A hands-on software engineer in a mid-to-large tech company managing production systems with frequent, high-severity incidents and inconsistent postmortem follow-through
Who this is not for
Engineers who only work on greenfield projects with no production responsibility, or those in organizations with mature SRE teams handling all incidents
What you walk away with
- Deploy a personal triage protocol that cuts mean time to resolution by 30-50%
- Build a living service ownership map for your stack
- Create auto-triggered incident playbooks synced to monitoring tools
- Run targeted blameless postmortems that drive real fixes
- Reduce re-escalation of resolved incidents by documenting root causes effectively
The 12 modules (with all 144 chapters)
- Map alert to service boundary
- Check dependency health first
- Correlate logs across services
- Identify last known good state
- Use canary signals early
- Rule out config drift
- Trace request waterfall
- Isolate failure domain
- Check upstream SLOs
- Validate recent deploys
- Assess traffic anomalies
- Rule out auth failures
- Define your triage scope
- Set entry trigger rules
- Collect key signals automatically
- Create a triage decision tree
- Use time-boxed investigation
- Document assumptions made
- Escalate with context
- Log your mental model
- Track recurring patterns
- Refine after each incident
- Sync with on-call rotation
- Measure triage accuracy
- Find the silent owners
- Audit service metadata
- Map undocumented dependencies
- Identify fallback behaviors
- Reverse-engineer configs
- Tag legacy owners gently
- Document assumptions publicly
- Create ownership signals
- Add health check endpoints
- Publish contact paths
- Signal ownership intent
- Update runbook stubs
- Match alert types to actions
- Embed runbooks in alert UI
- Trigger diagnostics on fire
- Auto-populate incident tickets
- Link to service catalog
- Include rollback shortcuts
- Add safety confirmation gates
- Version control runbooks
- Test runbook triggers
- Log runbook usage
- Schedule runbook reviews
- Update based on gaps
- Define incident impact clearly
- Capture timeline objectively
- Identify process gaps
- Assign action owners
- Set completion deadlines
- Link to Jira tickets
- Publish findings widely
- Highlight systemic risks
- Track recurrence metrics
- Close loop with team
- Archive with searchability
- Review quarterly trends
- Classify alert severity properly
- Group by user impact
- Suppress known false positives
- Use dynamic thresholds
- Set alert cooldowns
- Route to right engineer
- Add context to alerts
- Measure alert usefulness
- Retire unused alerts
- Review weekly
- Involve product teams
- Track alert-to-fix ratio
- Start with the symptom
- Use step-by-step format
- Include exact CLI commands
- Add screenshots of key UI
- Note common pitfalls
- Link to monitoring dashboards
- Specify expected outputs
- Keep it under 5 minutes
- Use plain language
- Update after every incident
- Tag version with deploy
- Test with new hires
- Identify top recurring issues
- Add defensive logging
- Implement circuit breakers
- Introduce retry budgets
- Add timeout defaults
- Enforce graceful degradation
- Instrument error budgets
- Track failure modes
- Deploy canary checks
- Reduce dependency depth
- Set SLOs per service
- Monitor degradation trends
- Declare incident lead early
- Use structured comms format
- Set update intervals
- Limit channel sprawl
- Assign comms owner
- Summarize every 30 minutes
- Document decisions in real time
- Avoid side-channel decisions
- Include product impact
- Escalate with data
- Close loop with stakeholders
- Review comms effectiveness
- Track MTTR per service
- Measure incident frequency
- Calculate engineer hours burned
- Log re-escalation rates
- Assess SLO compliance
- Monitor alert-to-fix time
- Count postmortem actions closed
- Evaluate runbook usage
- Survey on-call satisfaction
- Benchmark against peers
- Report reduction in fatigue
- Tie metrics to outcomes
- Set on-call rotation limits
- Enforce post-incident breaks
- Debrief after major fires
- Track personal fatigue
- Request workload adjustment
- Document near-misses
- Advocate for tooling
- Share mental load
- Normalize asking for help
- Use downtime for prep
- Celebrate quiet periods
- Promote team resilience
- Assemble your toolkit
- Customize templates
- Integrate with monitoring
- Test in staging
- Run tabletop exercise
- Gather team feedback
- Launch with documentation
- Schedule first review
- Track early results
- Adjust based on data
- Share success story
- Plan next iteration
How this maps to your situation
- After an incident with unclear ownership
- When on-call rotation starts
- Following repeated alert fatigue
- Before rolling out a new service
Before vs. after
What's included with your purchase
- 12 modules with 12 chapters each (144 chapters)
- Downloadable templates and worked examples for every module
- Hand-built implementation playbook delivered alongside course access
- 30-day money-back guarantee
Delivery and format
- Course and learning environment access provisioned within 24 hours of purchase
- Hand-built implementation playbook delivered alongside course access
Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.
Time investment: Approximately 3-4 hours per module, designed to be completed incrementally during work hours or personal development time.
How this compares to the alternatives
Unlike generic SRE certifications or broad DevOps courses, this program focuses exclusively on the operational realities of mid-level software engineers managing production incidents without dedicated SRE support.
Frequently asked
Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.