A tailored course, built for your situation
Advanced SRE Automation for Scalable Systems
Turn reliability into velocity with advanced automation frameworks
$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.
SRE isn’t just monitoring, it’s proactive system defense. Yet most engineers still react instead of prevent.
The situation this course is for
You’ve implemented basic monitoring and alerting, but as systems grow, so does noise. Manual runbooks don’t scale. Outages still catch teams off guard. The gap between 'working' and 'resilient' is automation depth, and that’s where most SRE efforts stall. Without advanced automation, reliability becomes a growing cost, not a strategic advantage.
Who this is for
A technical operator or engineer with SRE experience, now scaling systems under real-world load and seeking automation-first reliability patterns.
Who this is not for
This is not for beginners in DevOps or those seeking certification prep. No theoretical overviews or vendor tool walkthroughs.
What you walk away with
- Design self-healing workflows for common failure modes
- Reduce incident response time by 60% using predictive runbooks
- Automate capacity forecasting using historical telemetry
- Standardize SLOs across microservices with dynamic thresholds
- Implement chaos engineering feedback loops into CI/CD
The 12 modules (with all 144 chapters)
Module 1. From Toil to Automation
Diagnose sources of manual effort in current SRE workflows and establish automation readiness benchmarks.
12 chapters in this module
- Defining toil
- Mapping incident types
- Automation eligibility
- Effort impact matrix
- Case study patterns
- Toolchain fit
- Team readiness
- Escalation paths
- Metrics baseline
- Root cause frequency
- Runbook audit
- Automation backlog
Module 2. Intelligent Alerting
Move beyond threshold noise with dynamic signal detection and behavioral anomaly tracking.
12 chapters in this module
- Signal vs noise
- Adaptive thresholds
- Event correlation
- Alert suppression
- Behavior baselines
- Noise cost analysis
- Notification routing
- Deduplication logic
- Stateful alerts
- Incident clustering
- Feedback tuning
- Escalation automation
Module 3. Predictive Runbooks
Transform static runbooks into decision trees that adapt using real-time system state.
12 chapters in this module
- Runbook lifecycle
- Decision gates
- State detection
- Auto-remediation triggers
- Rollback conditions
- Validation checkpoints
- Human-in-loop design
- Version control
- Execution logging
- Failure mode mapping
- Dependency checks
- Recovery scoring
Module 4. Self-Healing Systems
Implement automated recovery for common failure classes without human intervention.
12 chapters in this module
- Failure classification
- Auto-restart policies
- Capacity rebalancing
- Node quarantine
- Service mesh recovery
- Health scoring
- Canary rollback
- Dependency isolation
- Resource capping
- Circuit breaker logic
- Recovery validation
- Post-mortem automation
Module 5. SLO Design Patterns
Define and enforce SLOs that reflect real user experience and drive meaningful automation.
12 chapters in this module
- Error budgeting
- User-centric metrics
- Service tiering
- Dynamic targets
- Burn rate logic
- Budget alerts
- Tiered consequences
- Team accountability
- SLO reporting
- Automated policy
- Review cycles
- Service level indicators
Module 6. Chaos Engineering Integration
Embed resilience testing into deployment pipelines to uncover hidden failure modes.
12 chapters in this module
- Hypothesis design
- Experiment scope
- Automated blast radius
- Monitoring hooks
- Failure injection
- Traffic shadowing
- Rollback triggers
- Validation checks
- Team coordination
- Post-test analysis
- Learning backlog
- Progressive testing
Module 7. Capacity Forecasting
Use historical telemetry to predict and automate capacity adjustments.
12 chapters in this module
- Trend detection
- Seasonality modeling
- Load projection
- Auto-scaling triggers
- Cost constraints
- Resource elasticity
- Burst readiness
- Forecast accuracy
- Drift correction
- Peak anticipation
- Capacity debt
- Scaling policies
Module 8. Dependency Automation
Map and manage inter-service dependencies to prevent cascading failures.
12 chapters in this module
- Dependency mapping
- Call graph analysis
- Failure impact
- Circuit breakers
- Fallback strategies
- Dependency health
- Service ownership
- Latency budgeting
- Dependency testing
- Automated discovery
- Version compatibility
- Degraded mode
Module 9. Post-Incident Automation
Automate root cause analysis, reporting, and follow-up task generation after incidents.
12 chapters in this module
- Incident clustering
- Auto-tagging
- Root cause suggestions
- Report generation
- Task assignment
- Follow-up tracking
- Learning extraction
- Timeline reconstruction
- Blameless logging
- Trend analysis
- Resolution validation
- Feedback loop
Module 10. Telemetry Optimization
Reduce observability cost while increasing signal quality across distributed systems.
12 chapters in this module
- Metric pruning
- Log sampling
- Trace sampling
- Cardinality control
- Cost per signal
- Signal value
- Retention policies
- Index optimization
- Query efficiency
- Alert relevance
- Data tiering
- Observability budget
Module 11. Security-SRE Convergence
Integrate security monitoring and response into SRE automation workflows.
12 chapters in this module
- Threat detection
- Automated isolation
- Credential rotation
- Audit logging
- Vulnerability scoring
- Patch automation
- Access revocation
- Incident handoff
- Security runbooks
- Compliance checks
- Policy enforcement
- Cross-team alignment
Module 12. SRE Maturity Scaling
Assess and advance SRE practice maturity across teams and services.
12 chapters in this module
- Maturity model
- Automation depth
- Team readiness
- Toolchain alignment
- Incident reduction
- Reliability debt
- Scaling patterns
- Knowledge sharing
- Cross-team SLOs
- Automation governance
- Feedback velocity
- Continuous improvement
How this maps to your situation
- You're managing systems that require more automation than current runbooks allow
- You're facing alert fatigue and need smarter signal filtering
- You're responsible for improving SLO compliance across services
- You're expected to reduce incident load without adding headcount
Before vs. after
Before
Manual runbooks, reactive responses, and alert fatigue dominate your SRE practice.
After
Automated workflows prevent outages, reduce toil, and enforce reliability at scale.
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 hours per module, designed for incremental implementation alongside your current role.
If nothing changes
Without automation depth, SRE becomes a bottleneck, scaling systems increases failure rates and operational load, eroding trust and velocity.
How this compares to the alternatives
Unlike generic SRE courses, this program delivers automation blueprints tailored to real-world complexity, not just theory or tool syntax.
Frequently asked
Is this course suitable after completing an SRE fundamentals course?
Yes. This builds directly on foundational SRE knowledge with advanced automation patterns.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Are there coding exercises or labs?
No. The course is text-based with implementation templates and real-world examples.
$199 one-time. Approximately 3 hours per module, designed for incremental implementation alongside your current role..
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