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Fixing Data Platform Downtime Before the Next Outage

$199.00
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What is the Fixing Data Platform Downtime Before course about?

You're responsible for data platform uptime, but legacy pipelines weren’t built for current scale. Alert fatigue is real. Runbooks are outdated. On-call cycles drain sprint capacity. Every incident triggers a war room, and fixes are often local, leaving systemic risk untouched. You need a repeatable way to reduce firefights while building long-term resilience, not another theoretical framework.

What situation is the Fixing Data Platform Downtime Before for?

You're responsible for data platform uptime, but legacy pipelines weren’t built for current scale. Alert fatigue is real. Runbooks are outdated. On-call cycles drain sprint capacity. Every incident triggers a war room, and fixes are often local, leaving systemic risk untouched. You need a repeatable way to reduce firefights while building long-term resilience, not another theoretical framework.

What do you take away from the Fixing Data Platform Downtime Before course?

Deploy a triage filter that cuts noise from critical alerts in under 48 hours Map hidden pipeline dependencies before they cause outages Build a living runbook that auto-updates with deployment events Shift 70% of incident response to automated playbooks Create a stakeholder-aligned backlog that prioritizes risk reduction over feature churn.

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 Data Platform Downtime Before 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: 30, 45 minutes per module, designed to be completed alongside regular work cycles.

How does this compare to the alternatives?

Unlike generic DevOps or SRE courses, this program focuses specifically on reducing incident volume and improving response quality in legacy-heavy environments, exactly what you face at Atlassian.

What does the Fixing Data Platform Downtime Before cover on frequently asked?

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.

How is the Fixing Data Platform Downtime Before delivered?

The Fixing Data Platform Downtime Before is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. A certificate of completion is issued by The Art of Service when you finish.

Closely related courses: Data Center Downtime Toolkit.

More answers: what you get with every course, refund policy, all help answers.

A tailored course, built for your situation

Fixing Data Platform Downtime Before the Next Outage

A 12-week system to stabilize mission-critical data pipelines under technical debt pressure

$199 one-time
24-hour access provisioning 30-day money-back guarantee Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
The alert triage backlog grows faster than your team can patch it.

The situation this course is for

You're responsible for data platform uptime, but legacy pipelines weren’t built for current scale. Alert fatigue is real. Runbooks are outdated. On-call cycles drain sprint capacity. Every incident triggers a war room, and fixes are often local, leaving systemic risk untouched. You need a repeatable way to reduce firefights while building long-term resilience, not another theoretical framework.

Who this is for

Engineering leader in a high-growth SaaS company, responsible for data platform stability under technical debt and shifting priorities.

Who this is not for

Individual contributors focused on analytics, data scientists, or engineers without operational ownership of pipeline uptime.

What you walk away with

  • Deploy a triage filter that cuts noise from critical alerts in under 48 hours
  • Map hidden pipeline dependencies before they cause outages
  • Build a living runbook that auto-updates with deployment events
  • Shift 70% of incident response to automated playbooks
  • Create a stakeholder-aligned backlog that prioritizes risk reduction over feature churn

The 12 modules (with all 144 chapters)

Module 1. Diagnose Alert Fatigue
Identify which alerts actually require human intervention and which can be suppressed, rerouted, or automated. Use signal-to-noise ratios to justify changes to leadership.
12 chapters in this module
  1. Count alert volume by source
  2. Classify alert severity correctly
  3. Identify duplicate triggers
  4. Map alert to incident history
  5. Calculate mean time to acknowledge
  6. Find alert-blackout periods
  7. Link alerts to sprint impact
  8. Survey on-call sentiment
  9. Benchmark industry baselines
  10. Define noise threshold
  11. Prioritize top three noise sources
  12. Draft alert suppression policy
Module 2. Map Pipeline Dependencies
Uncover undocumented data lineage and hidden coupling between services. Build a real-time map that shows what breaks when one node fails.
12 chapters in this module
  1. List all pipeline components
  2. Trace data flow paths
  3. Identify single points of failure
  4. Document manual handoffs
  5. Log deployment dependencies
  6. Tag ownership by team
  7. Score failure likelihood
  8. Estimate blast radius
  9. Visualize dependency graph
  10. Validate with incident logs
  11. Update with CI/CD hooks
  12. Share read-only version
Module 3. Build a Living Runbook
Create a self-updating incident response guide that syncs with deployment logs, schema changes, and team rotations.
12 chapters in this module
  1. Audit existing runbooks
  2. Identify outdated steps
  3. Link to monitoring tools
  4. Embed runbook in Slack
  5. Auto-insert recent changes
  6. Add decision trees
  7. Include rollback paths
  8. Assign role-based access
  9. Log resolution time
  10. Integrate with PagerDuty
  11. Trigger updates on deploy
  12. Schedule quarterly drills
Module 4. Automate Triage Filters
Reduce incoming alert volume by 60% using rule-based filters, machine learning signals, and routing logic calibrated to business impact.
12 chapters in this module
  1. Export raw alert data
  2. Group by error type
  3. Tag by service owner
  4. Score business impact
  5. Set auto-suppress rules
  6. Route to correct team
  7. Create summary digests
  8. Escalate on recurrence
  9. Log filter effectiveness
  10. Adjust thresholds weekly
  11. Document false positives
  12. Publish filter logic
Module 5. Define Resilience Metrics
Replace vague 'stability' goals with measurable indicators like Mean Time to Acknowledge, Recovery Success Rate, and Blast Radius Shrinkage.
12 chapters in this module
  1. List stakeholder expectations
  2. Map to technical outcomes
  3. Choose three core metrics
  4. Collect baseline data
  5. Set improvement targets
  6. Visualize trend weekly
  7. Align with sprint goals
  8. Report to leadership
  9. Adjust for seasonality
  10. Compare to peer teams
  11. Publish dashboard
  12. Tie to OKRs
Module 6. Prioritize Technical Debt
Use incident data and dependency maps to build a backlog that leadership approves, and developers want to fix.
12 chapters in this module
  1. List all known tech debt
  2. Link to past outages
  3. Score by recurrence risk
  4. Estimate fix effort
  5. Calculate downtime cost
  6. Identify quick wins
  7. Group by system
  8. Get team input
  9. Rank by ROI
  10. Present to engineering lead
  11. Secure sprint slots
  12. Track progress publicly
Module 7. Implement Blameless Post-Mortems
Run structured retrospectives that focus on systems, not individuals, and produce actionable follow-ups that get completed.
12 chapters in this module
  1. Set meeting cadence
  2. Invite cross-functional reps
  3. Define incident timeline
  4. List contributing factors
  5. Avoid person-focused language
  6. Identify process gaps
  7. Assign owners to fixes
  8. Set due dates
  9. Track completion rate
  10. Publish summaries
  11. Archive for search
  12. Review trends quarterly
Module 8. Design for Failure
Integrate resilience patterns into new development cycles so future systems are easier to operate.
12 chapters in this module
  1. Review new designs
  2. Add observability hooks
  3. Enforce circuit breakers
  4. Require fallback paths
  5. Test failure scenarios
  6. Document assumptions
  7. Validate with chaos tests
  8. Require runbook entry
  9. Score resilience at PR
  10. Train new hires
  11. Audit quarterly
  12. Share best practices
Module 9. Scale On-Call Effectiveness
Reduce burnout and improve response quality by optimizing rotation design, support tooling, and escalation paths.
12 chapters in this module
  1. Audit current rotation
  2. Count pages per person
  3. Measure resolution time
  4. Survey team sentiment
  5. Define primary/backup roles
  6. Set response SLAs
  7. Add escalation paths
  8. Include documentation links
  9. Provide training
  10. Rotate fairly
  11. Review post-rotation
  12. Adjust based on volume
Module 10. Align Stakeholders on Trade-offs
Communicate uptime risks and debt reduction needs in terms executives understand, without overloading them with technical detail.
12 chapters in this module
  1. Identify key stakeholders
  2. Map their pain points
  3. Translate tech risk
  4. Show business impact
  5. Compare to industry norms
  6. Present mitigation options
  7. Highlight cost of inaction
  8. Get written feedback
  9. Summarize decisions
  10. Revisit quarterly
  11. Track decision backlog
  12. Send executive digest
Module 11. Integrate CI/CD with Observability
Ensure every deployment updates monitoring, alerts, and runbooks automatically, so documentation never lags reality.
12 chapters in this module
  1. Audit CI/CD pipeline
  2. Identify observability gaps
  3. Add alert creation step
  4. Trigger runbook update
  5. Validate schema changes
  6. Log deployment events
  7. Notify on-call team
  8. Fail unsafe deploys
  9. Enforce tagging
  10. Test rollback path
  11. Measure coverage
  12. Report compliance rate
Module 12. Drive Continuous Resilience
Create a self-sustaining cycle of improvement where every incident makes the system stronger.
12 chapters in this module
  1. Review monthly metrics
  2. Celebrate improvements
  3. Refresh training
  4. Update playbooks
  5. Audit automation
  6. Solicit feedback
  7. Adjust priorities
  8. Share wins
  9. Plan next quarter
  10. Review tooling
  11. Optimize budget
  12. Scale to new teams

How this maps to your situation

  • After a major outage
  • During on-call rotation burnout
  • Before a platform migration
  • When leadership demands reliability

Before vs. after

Before
Constant firefighting, outdated runbooks, and stakeholder pressure to 'just make it stable'.
After
Predictable uptime, automated triage, and a team that fixes root causes, not just symptoms.

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: 30, 45 minutes per module, designed to be completed alongside regular work cycles.

If nothing changes
Without a structured approach, your team will keep cycling through outages, eroding trust and consuming sprint capacity that could go toward innovation.

How this compares to the alternatives

Unlike generic DevOps or SRE courses, this program focuses specifically on reducing incident volume and improving response quality in legacy-heavy environments, exactly what you face at Atlassian.

Frequently asked

Is this course only for cloud-native companies?
No. The methods work in hybrid and legacy-heavy environments, with adaptations for technical debt and partial observability.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this work if my team resists change?
Yes. Each module includes tactics to demonstrate quick wins and build credibility with skeptical engineers.
$199 one-time. 30, 45 minutes per module, designed to be completed alongside regular work cycles..

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.

30-day money-back guarantee· 144 chapters· Hand-built playbook included· Account access within 24 hours
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