Mastering Site Reliability Engineering for Critical Production Systems
You're not just responsible for uptime - you're accountable for the backbone of your organisation’s most mission-critical systems. When production falters, the business feels it in revenue, reputation, and trust. And right now, the pressure to deliver flawless reliability while scaling rapidly is unlike anything before. Outages aren’t just technical failures - they’re career-defining moments. Every minute of downtime is watched by executives, stakeholders, and customers. You need more than scripts and alerts. You need precision, predictability, and proven engineering frameworks that prevent failure before it happens. Mastering Site Reliability Engineering for Critical Production Systems is not another theoretical overview. It’s the exact system used by top-tier SRE teams at global enterprises to reduce incident frequency by up to 78%, cut MTTR in half, and achieve 99.999% availability across most complex environments. One lead engineer at a Fortune 500 financial services company used this methodology to stabilise their core transaction platform - reducing P1 incidents from 12 per quarter to just 1 in six months and earning a direct promotion to Principal SRE. This is your path from reactive firefighting to proactive resilience - from being seen as “the person who fixes things” to the trusted architect of systems that simply don’t fail. The outcome?Going from fragmented tooling and ad-hoc processes to owning a board-ready, enterprise-grade SRE practice in under 60 days - complete with error budgets, SLIs/SLOs, automated recovery pipelines, and a documented incident response playbook. Here’s how this course is structured to help you get there.
Course Format & Delivery Details A Self-Paced, On-Demand Learning Experience Built for Senior Engineering Professionals
This is a self-paced programme with immediate online access the moment you enrol. There are no fixed start dates, no weekly schedules, and no artificial time constraints. You progress at your own speed, focusing on what matters most to your environment and priorities. Most learners complete the core modules in 40 to 50 hours and begin applying critical concepts like SLO design and failure mode analysis within the first week. Full implementation of an end-to-end SRE framework across a production domain typically takes 8 to 12 weeks - all supported by the material inside this course. Lifetime Access, Future Updates Included
The moment you enrol, you gain lifetime access to all course content. This includes every update, refinement, and emerging best practice we publish moving forward - at no additional cost. Technology evolves. Your expertise must too. We ensure your knowledge stays current, relevant, and aligned with enterprise expectations. Global, Mobile-Friendly Access, 24/7
Access your learning materials anytime, from any device - desktop, tablet, or smartphone. The platform is fully responsive, optimised for engineers who work across time zones, travel frequently, or need to reference key SRE checklists during incident response. Expert-Led Guidance & Direct Support
You are not learning in isolation. Throughout the course, you’ll have access to structured guidance from certified SRE practitioners with experience scaling systems at hyperscale cloud providers and regulated financial institutions. Ask technical questions, submit architecture review requests, and receive expert feedback on your SLO designs and incident response plans. Certificate of Completion Issued by The Art of Service
Upon successful completion, you will earn a globally recognised Certificate of Completion issued by The Art of Service - a leader in professional engineering education trusted by thousands of organisations worldwide. This credential validates your mastery of modern SRE principles and strengthens your profile for promotions, leadership roles, and cross-enterprise recognition. Transparent, One-Time Pricing - No Hidden Fees
There are no subscriptions, no tiered access, and no surprise charges. What you see is exactly what you get - the complete course, all materials, full support, and lifetime access in a single straightforward payment. Accepted Payment Methods
We accept all major payment methods, including Visa, Mastercard, and PayPal - making enrolment simple and secure, regardless of your location or billing preferences. 100% Risk-Free with Our Satisfied or Refunded Guarantee
We guarantee your satisfaction. If you complete the first three modules and feel the course does not meet your expectations for depth, clarity, or relevance to real-world SRE challenges, simply request a full refund. No questions, no hassle. This is our promise to eliminate your risk completely. You’ll Receive a Confirmation Email After Enrolment
Following your registration, you’ll receive a confirmation email. Once your course materials are prepared and verified, your access credentials will be sent in a separate communication. This ensures accuracy and readiness before your first login. This Works Even If...
You’ve already read the Google SRE book but struggle to implement its principles at scale.
You work in a regulated industry with zero tolerance for downtime.
Your current team uses custom tooling that doesn’t fit off-the-shelf solutions.
You’re transitioning from DevOps or platform engineering and need rigorous SRE frameworks.
You’re expected to build an SRE function from scratch without external consultants. Real SRE Practitioners, Real Results
- Senior SRE, Cloud Provider: “I used the incident taxonomy framework to redesign our post-mortem process. Within one quarter, we reduced recurring incidents by 65% and eliminated blame culture from our reviews.”
- Platform Lead, Fintech: “The SLO calibration template saved us from overcommitting on SLAs to clients. We now set realistic, data-driven targets - and haven’t missed one since.”
- Engineering Manager, SaaS: “I was drowning in alert fatigue. The signal-to-noise ratio module alone reduced false positives by 80% and restored team morale.”
Your Confidence Is Our Priority
This course was built to remove ambiguity, reduce complexity, and deliver clarity. You’re not just learning concepts - you’re building a battle-tested, repeatable SRE operating model you can deploy immediately, with confidence, in your production environment.
Extensive and Detailed Course Curriculum
Module 1: Foundations of Site Reliability Engineering - Defining Site Reliability Engineering in modern production environments
- How SRE differs from traditional operations and DevOps
- The evolution of reliability engineering in distributed systems
- Core SRE principles: scalability, automation, and resilience
- Understanding the role of SRE in business continuity
- Key responsibilities of a Site Reliability Engineer
- Common misconceptions and pitfalls in early SRE adoption
- The shift from reactive to proactive reliability
- Integrating SRE into existing engineering cultures
- Establishing organizational buy-in for SRE initiatives
- Key performance indicators for measuring SRE success
- Defining ownership and accountability in hybrid teams
- Aligning SRE goals with business objectives
- Using blameless culture to improve systemic reliability
- Learning from failure without assigning fault
Module 2: Service Level Objectives, Indicators, and Agreements - Defining meaningful Service Level Indicators (SLIs)
- Selecting the right metrics for user-impacting services
- Latency, availability, throughput, and durability SLIs
- How to calculate SLI accuracy and confidence
- Setting realistic Service Level Objectives (SLOs)
- The impact of overly aggressive vs. too lenient SLOs
- Calibrating SLOs based on historical performance data
- Balancing innovation velocity with reliability targets
- Defining error budgets and their role in release decisions
- How error budgets create engineering trade-off clarity
- Communicating SLO status to non-technical stakeholders
- Creating SLO dashboards for operational visibility
- Automating alerts based on SLO burn rates
- Implementing early warning systems using SLO trends
- Negotiating Service Level Agreements (SLAs) based on SLOs
- Legal and business implications of SLA commitments
- Revising SLOs as systems mature and scale
- Documenting SLI/SLO design decisions for audit trails
- Training teams on SLO interpretation and response protocols
Module 3: Measuring and Monitoring System Health - Designing observability pipelines for complex systems
- The four pillars of observability: logs, metrics, traces, and events
- Instrumenting services for real-time monitoring
- Choosing between push and pull monitoring architectures
- Implementing distributed tracing in microservices
- Correlating logs across service boundaries
- Using structured logging to improve parseability
- Building custom metrics for business-critical operations
- Monitoring at the edge and in multi-region deployments
- Reducing noise in alerting systems
- Signal-to-noise ratio improvement techniques
- Designing meaningful alert thresholds
- Creating actionable alert messages with runbook links
- Routing alerts to the right teams using escalation policies
- Automated alert suppression during maintenance windows
- Using synthetic monitoring to simulate user journeys
- Leveraging canary probing for early failure detection
- Designing health check endpoints for automation
- Integrating third-party service monitoring
- Monitoring dependencies and external API reliability
Module 4: Incident Management and Response - Designing scalable incident response frameworks
- Classifying incidents by severity and blast radius
- Defining P0, P1, P2, and P3 incident criteria
- Building a centralised incident command structure
- Assigning roles: incident commander, comms lead, resolver
- Creating standardised incident response checklists
- Using runbooks for consistent remediation steps
- Integrating runbooks with monitoring and alerting tools
- Automating initial triage and alert enrichment
- Configuring on-call rotations with fairness and fatigue control
- Using scheduling tools to manage on-call load
- Implementing fatigue-aware rotation policies
- Conducting real-time incident communications
- Drafting clear, concise status updates for stakeholders
- Using incident timelines to track key events
- Documenting decision-making during crisis resolution
- Integrating communication tools: Slack, PagerDuty, Opsgenie
- Post-incident data preservation and chain of custody
- Transitioning from incident to post-mortem phase
- Designing a repeatable incident closure process
Module 5: Post-Mortem Analysis and Learning Systems - Conducting effective blameless post-mortems
- Creating a psychologically safe environment for feedback
- Structuring post-mortem documentation templates
- Capturing timeline, impact, root cause, and decisions
- Differentiating between root cause and contributing factors
- Using causal analysis techniques: 5 Whys, fishbone diagrams
- Built-in failure analysis and design trade-off reviews
- Identifying systemic gaps, not individual errors
- Generating actionable follow-up items from post-mortems
- Tracking remediation tasks to completion
- Integrating post-mortem findings into roadmaps
- Sharing insights across engineering teams
- Publishing internal post-mortem summaries for transparency
- Automating post-mortem report generation
- Using incident data to improve future design decisions
- Building a living knowledge base of past failures
- Analysing incident trends over time
- Reducing recurrence through proactive remediation
- Using post-mortems to refine SLOs and error budgets
- Validating whether fixes actually prevent recurrence
Module 6: Automation and Self-Healing Systems - Principles of automation in SRE
- Identifying repetitive manual tasks for automation
- Designing automated recovery workflows
- Implementing health-based service restarts
- Automating failover in multi-region architectures
- Using circuit breakers and retries with backoff strategies
- Preventing cascading failures with bulkhead patterns
- Automating rollback procedures for failed deployments
- Building self-healing infrastructure with policy engines
- Using machine learning to predict degradation
- Automated capacity scaling based on traffic patterns
- Deploying autonomous canary analysis systems
- Integrating automation with CI/CD pipelines
- Testing automation scripts in staging environments
- Monitoring automated actions for unintended consequences
- Creating audit trails for automated decisions
- Ensuring human oversight for critical automation steps
- Reducing mean time to recovery (MTTR) through automation
- Documenting automation logic for team understanding
- Versioning and managing automation code in Git
Module 7: Capacity Planning and Scalability Engineering - Understanding system capacity limits
- Measuring current utilisation vs. maximum capacity
- Forecasting future load based on growth trends
- Modelling resource needs for traffic spikes
- Designing for ten times today’s load
- Identifying bottlenecks in compute, storage, and network
- Using load testing to validate scalability assumptions
- Simulating peak traffic with realistic workloads
- Stress testing database performance under load
- Automating capacity alerts before saturation
- Designing autoscaling policies for dynamic environments
- Managing cold start issues in serverless platforms
- Optimising container scheduling for resource efficiency
- Right-sizing VMs and containers based on telemetry
- Planning for regional failover capacity
- Estimating recovery time based on data volume
- Benchmarking recovery against business RTOs
- Documenting capacity plans for audit and compliance
- Aligning capacity strategy with budget cycles
- Using predictive analytics to anticipate expansion needs
Module 8: Release Engineering and Deployment Safety - Designing safe deployment pipelines for production
- Implementing blue/green and canary deployments
- Automating deployment gates based on SLO health
- Using feature flags for incremental rollouts
- Monitoring rollout impact in real time
- Stopping deployments based on error budget consumption
- Defining rollback triggers and automated responses
- Integrating post-deployment validation checks
- Using telemetry to verify successful rollouts
- Reducing deployment risk through small-batch releases
- Enforcing deployment windows and change controls
- Managing emergency fixes outside standard processes
- Documenting change requests for compliance
- Integrating release history with incident tracking
- Creating immutable release artefacts
- Validating deployment integrity with checksums
- Managing dependencies across microservices
- Coordinating cross-team release schedules
- Using deployment dashboards for visibility
- Building deployment safety checklists
Module 9: SRE Tools and Platform Integration - Evaluating SRE tooling: open source vs. commercial
- Integrating Prometheus for metric collection
- Using Grafana for dashboards and alert visualisation
- Leveraging OpenTelemetry for standardised instrumentation
- Deploying distributed tracing with Jaeger or Zipkin
- Using ELK or Loki for log aggregation
- Setting up alerting with Alertmanager
- Integrating PagerDuty, Opsgenie, or VictorOps
- Building incident response workflows in Jira or Asana
- Using Terraform for infrastructure as code
- Managing configurations with Ansible or Chef
- Version controlling configurations in Git
- Integrating CI/CD pipelines with SRE gates
- Automating compliance checks in pipelines
- Managing secrets with HashiCorp Vault or AWS Secrets Manager
- Monitoring third-party service health
- Building internal developer portals for SRE services
- Using Spinnaker for automated deployments
- Creating self-service SRE tooling for developers
- Designing API gateways for observability and control
Module 10: Building and Leading SRE Teams - Scaling SRE teams across large organisations
- Defining SRE roles: junior, senior, principal, manager
- Hiring for SRE: technical and cultural fit
- Creating career progression ladders
- Measuring team performance beyond uptime
- Setting team-level SLOs and objectives
- Managing work-life balance and on-call stress
- Implementing fair escalation and rotation policies
- Providing mental health and recovery support
- Conducting performance reviews with focus on growth
- Coaching engineers on incident leadership
- Delivering technical feedback effectively
- Establishing SRE centres of excellence
- Aligning SRE with security, compliance, and risk teams
- Training non-SRE engineers on reliability practices
- Creating internal SRE certifications
- Developing SRE playbooks for shared use
- Fostering cross-functional collaboration
- Running SRE working groups and knowledge shares
- Presenting reliability metrics to executive leadership
Module 11: Advanced SRE Patterns and Anti-Fragility - Designing anti-fragile systems that improve under stress
- Implementing chaos engineering principles
- Safely injecting failures to test resilience
- Using Chaos Monkey and Gremlin for controlled experiments
- Designing game days to simulate major failures
- Planning and structuring large-scale resilience tests
- Measuring recovery effectiveness during chaos tests
- Building confidence through proactive failure testing
- Using dependency graph analysis to map failure paths
- Identifying single points of failure in architecture
- Implementing redundancy at every layer
- Designing for graceful degradation
- Optimising failover switching times
- Testing disaster recovery in isolated environments
- Using shadow traffic to validate new systems
- Validating backup integrity with restore drills
- Ensuring data consistency across replicas
- Managing database failover safely
- Testing message queue resilience under backpressure
- Ensuring idempotency in retry mechanisms
Module 12: Security, Compliance, and SRE - Integrating security into SRE workflows
- Monitoring for unauthorised access and anomalies
- Using SRE tools for security telemetry
- Responding to security incidents using SRE playbooks
- Aligning SRE practices with SOC 2, ISO 27001, HIPAA
- Documenting reliability controls for auditors
- Proving system resilience during compliance reviews
- Managing patching schedules without downtime
- Automating vulnerability remediation workflows
- Integrating configuration drift detection
- Using infrastructure as code for compliance enforcement
- Creating immutable, versioned environments
- Enforcing least privilege access in production
- Monitoring access logs for suspicious patterns
- Responding to zero-day threats with rapid rollbacks
- Coordinating with incident response and security teams
- Conducting post-mortems for security breaches
- Storing forensic data securely
- Designing audit trails for critical operations
- Training SRE teams on security incident protocols
Module 1: Foundations of Site Reliability Engineering - Defining Site Reliability Engineering in modern production environments
- How SRE differs from traditional operations and DevOps
- The evolution of reliability engineering in distributed systems
- Core SRE principles: scalability, automation, and resilience
- Understanding the role of SRE in business continuity
- Key responsibilities of a Site Reliability Engineer
- Common misconceptions and pitfalls in early SRE adoption
- The shift from reactive to proactive reliability
- Integrating SRE into existing engineering cultures
- Establishing organizational buy-in for SRE initiatives
- Key performance indicators for measuring SRE success
- Defining ownership and accountability in hybrid teams
- Aligning SRE goals with business objectives
- Using blameless culture to improve systemic reliability
- Learning from failure without assigning fault
Module 2: Service Level Objectives, Indicators, and Agreements - Defining meaningful Service Level Indicators (SLIs)
- Selecting the right metrics for user-impacting services
- Latency, availability, throughput, and durability SLIs
- How to calculate SLI accuracy and confidence
- Setting realistic Service Level Objectives (SLOs)
- The impact of overly aggressive vs. too lenient SLOs
- Calibrating SLOs based on historical performance data
- Balancing innovation velocity with reliability targets
- Defining error budgets and their role in release decisions
- How error budgets create engineering trade-off clarity
- Communicating SLO status to non-technical stakeholders
- Creating SLO dashboards for operational visibility
- Automating alerts based on SLO burn rates
- Implementing early warning systems using SLO trends
- Negotiating Service Level Agreements (SLAs) based on SLOs
- Legal and business implications of SLA commitments
- Revising SLOs as systems mature and scale
- Documenting SLI/SLO design decisions for audit trails
- Training teams on SLO interpretation and response protocols
Module 3: Measuring and Monitoring System Health - Designing observability pipelines for complex systems
- The four pillars of observability: logs, metrics, traces, and events
- Instrumenting services for real-time monitoring
- Choosing between push and pull monitoring architectures
- Implementing distributed tracing in microservices
- Correlating logs across service boundaries
- Using structured logging to improve parseability
- Building custom metrics for business-critical operations
- Monitoring at the edge and in multi-region deployments
- Reducing noise in alerting systems
- Signal-to-noise ratio improvement techniques
- Designing meaningful alert thresholds
- Creating actionable alert messages with runbook links
- Routing alerts to the right teams using escalation policies
- Automated alert suppression during maintenance windows
- Using synthetic monitoring to simulate user journeys
- Leveraging canary probing for early failure detection
- Designing health check endpoints for automation
- Integrating third-party service monitoring
- Monitoring dependencies and external API reliability
Module 4: Incident Management and Response - Designing scalable incident response frameworks
- Classifying incidents by severity and blast radius
- Defining P0, P1, P2, and P3 incident criteria
- Building a centralised incident command structure
- Assigning roles: incident commander, comms lead, resolver
- Creating standardised incident response checklists
- Using runbooks for consistent remediation steps
- Integrating runbooks with monitoring and alerting tools
- Automating initial triage and alert enrichment
- Configuring on-call rotations with fairness and fatigue control
- Using scheduling tools to manage on-call load
- Implementing fatigue-aware rotation policies
- Conducting real-time incident communications
- Drafting clear, concise status updates for stakeholders
- Using incident timelines to track key events
- Documenting decision-making during crisis resolution
- Integrating communication tools: Slack, PagerDuty, Opsgenie
- Post-incident data preservation and chain of custody
- Transitioning from incident to post-mortem phase
- Designing a repeatable incident closure process
Module 5: Post-Mortem Analysis and Learning Systems - Conducting effective blameless post-mortems
- Creating a psychologically safe environment for feedback
- Structuring post-mortem documentation templates
- Capturing timeline, impact, root cause, and decisions
- Differentiating between root cause and contributing factors
- Using causal analysis techniques: 5 Whys, fishbone diagrams
- Built-in failure analysis and design trade-off reviews
- Identifying systemic gaps, not individual errors
- Generating actionable follow-up items from post-mortems
- Tracking remediation tasks to completion
- Integrating post-mortem findings into roadmaps
- Sharing insights across engineering teams
- Publishing internal post-mortem summaries for transparency
- Automating post-mortem report generation
- Using incident data to improve future design decisions
- Building a living knowledge base of past failures
- Analysing incident trends over time
- Reducing recurrence through proactive remediation
- Using post-mortems to refine SLOs and error budgets
- Validating whether fixes actually prevent recurrence
Module 6: Automation and Self-Healing Systems - Principles of automation in SRE
- Identifying repetitive manual tasks for automation
- Designing automated recovery workflows
- Implementing health-based service restarts
- Automating failover in multi-region architectures
- Using circuit breakers and retries with backoff strategies
- Preventing cascading failures with bulkhead patterns
- Automating rollback procedures for failed deployments
- Building self-healing infrastructure with policy engines
- Using machine learning to predict degradation
- Automated capacity scaling based on traffic patterns
- Deploying autonomous canary analysis systems
- Integrating automation with CI/CD pipelines
- Testing automation scripts in staging environments
- Monitoring automated actions for unintended consequences
- Creating audit trails for automated decisions
- Ensuring human oversight for critical automation steps
- Reducing mean time to recovery (MTTR) through automation
- Documenting automation logic for team understanding
- Versioning and managing automation code in Git
Module 7: Capacity Planning and Scalability Engineering - Understanding system capacity limits
- Measuring current utilisation vs. maximum capacity
- Forecasting future load based on growth trends
- Modelling resource needs for traffic spikes
- Designing for ten times today’s load
- Identifying bottlenecks in compute, storage, and network
- Using load testing to validate scalability assumptions
- Simulating peak traffic with realistic workloads
- Stress testing database performance under load
- Automating capacity alerts before saturation
- Designing autoscaling policies for dynamic environments
- Managing cold start issues in serverless platforms
- Optimising container scheduling for resource efficiency
- Right-sizing VMs and containers based on telemetry
- Planning for regional failover capacity
- Estimating recovery time based on data volume
- Benchmarking recovery against business RTOs
- Documenting capacity plans for audit and compliance
- Aligning capacity strategy with budget cycles
- Using predictive analytics to anticipate expansion needs
Module 8: Release Engineering and Deployment Safety - Designing safe deployment pipelines for production
- Implementing blue/green and canary deployments
- Automating deployment gates based on SLO health
- Using feature flags for incremental rollouts
- Monitoring rollout impact in real time
- Stopping deployments based on error budget consumption
- Defining rollback triggers and automated responses
- Integrating post-deployment validation checks
- Using telemetry to verify successful rollouts
- Reducing deployment risk through small-batch releases
- Enforcing deployment windows and change controls
- Managing emergency fixes outside standard processes
- Documenting change requests for compliance
- Integrating release history with incident tracking
- Creating immutable release artefacts
- Validating deployment integrity with checksums
- Managing dependencies across microservices
- Coordinating cross-team release schedules
- Using deployment dashboards for visibility
- Building deployment safety checklists
Module 9: SRE Tools and Platform Integration - Evaluating SRE tooling: open source vs. commercial
- Integrating Prometheus for metric collection
- Using Grafana for dashboards and alert visualisation
- Leveraging OpenTelemetry for standardised instrumentation
- Deploying distributed tracing with Jaeger or Zipkin
- Using ELK or Loki for log aggregation
- Setting up alerting with Alertmanager
- Integrating PagerDuty, Opsgenie, or VictorOps
- Building incident response workflows in Jira or Asana
- Using Terraform for infrastructure as code
- Managing configurations with Ansible or Chef
- Version controlling configurations in Git
- Integrating CI/CD pipelines with SRE gates
- Automating compliance checks in pipelines
- Managing secrets with HashiCorp Vault or AWS Secrets Manager
- Monitoring third-party service health
- Building internal developer portals for SRE services
- Using Spinnaker for automated deployments
- Creating self-service SRE tooling for developers
- Designing API gateways for observability and control
Module 10: Building and Leading SRE Teams - Scaling SRE teams across large organisations
- Defining SRE roles: junior, senior, principal, manager
- Hiring for SRE: technical and cultural fit
- Creating career progression ladders
- Measuring team performance beyond uptime
- Setting team-level SLOs and objectives
- Managing work-life balance and on-call stress
- Implementing fair escalation and rotation policies
- Providing mental health and recovery support
- Conducting performance reviews with focus on growth
- Coaching engineers on incident leadership
- Delivering technical feedback effectively
- Establishing SRE centres of excellence
- Aligning SRE with security, compliance, and risk teams
- Training non-SRE engineers on reliability practices
- Creating internal SRE certifications
- Developing SRE playbooks for shared use
- Fostering cross-functional collaboration
- Running SRE working groups and knowledge shares
- Presenting reliability metrics to executive leadership
Module 11: Advanced SRE Patterns and Anti-Fragility - Designing anti-fragile systems that improve under stress
- Implementing chaos engineering principles
- Safely injecting failures to test resilience
- Using Chaos Monkey and Gremlin for controlled experiments
- Designing game days to simulate major failures
- Planning and structuring large-scale resilience tests
- Measuring recovery effectiveness during chaos tests
- Building confidence through proactive failure testing
- Using dependency graph analysis to map failure paths
- Identifying single points of failure in architecture
- Implementing redundancy at every layer
- Designing for graceful degradation
- Optimising failover switching times
- Testing disaster recovery in isolated environments
- Using shadow traffic to validate new systems
- Validating backup integrity with restore drills
- Ensuring data consistency across replicas
- Managing database failover safely
- Testing message queue resilience under backpressure
- Ensuring idempotency in retry mechanisms
Module 12: Security, Compliance, and SRE - Integrating security into SRE workflows
- Monitoring for unauthorised access and anomalies
- Using SRE tools for security telemetry
- Responding to security incidents using SRE playbooks
- Aligning SRE practices with SOC 2, ISO 27001, HIPAA
- Documenting reliability controls for auditors
- Proving system resilience during compliance reviews
- Managing patching schedules without downtime
- Automating vulnerability remediation workflows
- Integrating configuration drift detection
- Using infrastructure as code for compliance enforcement
- Creating immutable, versioned environments
- Enforcing least privilege access in production
- Monitoring access logs for suspicious patterns
- Responding to zero-day threats with rapid rollbacks
- Coordinating with incident response and security teams
- Conducting post-mortems for security breaches
- Storing forensic data securely
- Designing audit trails for critical operations
- Training SRE teams on security incident protocols
- Defining meaningful Service Level Indicators (SLIs)
- Selecting the right metrics for user-impacting services
- Latency, availability, throughput, and durability SLIs
- How to calculate SLI accuracy and confidence
- Setting realistic Service Level Objectives (SLOs)
- The impact of overly aggressive vs. too lenient SLOs
- Calibrating SLOs based on historical performance data
- Balancing innovation velocity with reliability targets
- Defining error budgets and their role in release decisions
- How error budgets create engineering trade-off clarity
- Communicating SLO status to non-technical stakeholders
- Creating SLO dashboards for operational visibility
- Automating alerts based on SLO burn rates
- Implementing early warning systems using SLO trends
- Negotiating Service Level Agreements (SLAs) based on SLOs
- Legal and business implications of SLA commitments
- Revising SLOs as systems mature and scale
- Documenting SLI/SLO design decisions for audit trails
- Training teams on SLO interpretation and response protocols
Module 3: Measuring and Monitoring System Health - Designing observability pipelines for complex systems
- The four pillars of observability: logs, metrics, traces, and events
- Instrumenting services for real-time monitoring
- Choosing between push and pull monitoring architectures
- Implementing distributed tracing in microservices
- Correlating logs across service boundaries
- Using structured logging to improve parseability
- Building custom metrics for business-critical operations
- Monitoring at the edge and in multi-region deployments
- Reducing noise in alerting systems
- Signal-to-noise ratio improvement techniques
- Designing meaningful alert thresholds
- Creating actionable alert messages with runbook links
- Routing alerts to the right teams using escalation policies
- Automated alert suppression during maintenance windows
- Using synthetic monitoring to simulate user journeys
- Leveraging canary probing for early failure detection
- Designing health check endpoints for automation
- Integrating third-party service monitoring
- Monitoring dependencies and external API reliability
Module 4: Incident Management and Response - Designing scalable incident response frameworks
- Classifying incidents by severity and blast radius
- Defining P0, P1, P2, and P3 incident criteria
- Building a centralised incident command structure
- Assigning roles: incident commander, comms lead, resolver
- Creating standardised incident response checklists
- Using runbooks for consistent remediation steps
- Integrating runbooks with monitoring and alerting tools
- Automating initial triage and alert enrichment
- Configuring on-call rotations with fairness and fatigue control
- Using scheduling tools to manage on-call load
- Implementing fatigue-aware rotation policies
- Conducting real-time incident communications
- Drafting clear, concise status updates for stakeholders
- Using incident timelines to track key events
- Documenting decision-making during crisis resolution
- Integrating communication tools: Slack, PagerDuty, Opsgenie
- Post-incident data preservation and chain of custody
- Transitioning from incident to post-mortem phase
- Designing a repeatable incident closure process
Module 5: Post-Mortem Analysis and Learning Systems - Conducting effective blameless post-mortems
- Creating a psychologically safe environment for feedback
- Structuring post-mortem documentation templates
- Capturing timeline, impact, root cause, and decisions
- Differentiating between root cause and contributing factors
- Using causal analysis techniques: 5 Whys, fishbone diagrams
- Built-in failure analysis and design trade-off reviews
- Identifying systemic gaps, not individual errors
- Generating actionable follow-up items from post-mortems
- Tracking remediation tasks to completion
- Integrating post-mortem findings into roadmaps
- Sharing insights across engineering teams
- Publishing internal post-mortem summaries for transparency
- Automating post-mortem report generation
- Using incident data to improve future design decisions
- Building a living knowledge base of past failures
- Analysing incident trends over time
- Reducing recurrence through proactive remediation
- Using post-mortems to refine SLOs and error budgets
- Validating whether fixes actually prevent recurrence
Module 6: Automation and Self-Healing Systems - Principles of automation in SRE
- Identifying repetitive manual tasks for automation
- Designing automated recovery workflows
- Implementing health-based service restarts
- Automating failover in multi-region architectures
- Using circuit breakers and retries with backoff strategies
- Preventing cascading failures with bulkhead patterns
- Automating rollback procedures for failed deployments
- Building self-healing infrastructure with policy engines
- Using machine learning to predict degradation
- Automated capacity scaling based on traffic patterns
- Deploying autonomous canary analysis systems
- Integrating automation with CI/CD pipelines
- Testing automation scripts in staging environments
- Monitoring automated actions for unintended consequences
- Creating audit trails for automated decisions
- Ensuring human oversight for critical automation steps
- Reducing mean time to recovery (MTTR) through automation
- Documenting automation logic for team understanding
- Versioning and managing automation code in Git
Module 7: Capacity Planning and Scalability Engineering - Understanding system capacity limits
- Measuring current utilisation vs. maximum capacity
- Forecasting future load based on growth trends
- Modelling resource needs for traffic spikes
- Designing for ten times today’s load
- Identifying bottlenecks in compute, storage, and network
- Using load testing to validate scalability assumptions
- Simulating peak traffic with realistic workloads
- Stress testing database performance under load
- Automating capacity alerts before saturation
- Designing autoscaling policies for dynamic environments
- Managing cold start issues in serverless platforms
- Optimising container scheduling for resource efficiency
- Right-sizing VMs and containers based on telemetry
- Planning for regional failover capacity
- Estimating recovery time based on data volume
- Benchmarking recovery against business RTOs
- Documenting capacity plans for audit and compliance
- Aligning capacity strategy with budget cycles
- Using predictive analytics to anticipate expansion needs
Module 8: Release Engineering and Deployment Safety - Designing safe deployment pipelines for production
- Implementing blue/green and canary deployments
- Automating deployment gates based on SLO health
- Using feature flags for incremental rollouts
- Monitoring rollout impact in real time
- Stopping deployments based on error budget consumption
- Defining rollback triggers and automated responses
- Integrating post-deployment validation checks
- Using telemetry to verify successful rollouts
- Reducing deployment risk through small-batch releases
- Enforcing deployment windows and change controls
- Managing emergency fixes outside standard processes
- Documenting change requests for compliance
- Integrating release history with incident tracking
- Creating immutable release artefacts
- Validating deployment integrity with checksums
- Managing dependencies across microservices
- Coordinating cross-team release schedules
- Using deployment dashboards for visibility
- Building deployment safety checklists
Module 9: SRE Tools and Platform Integration - Evaluating SRE tooling: open source vs. commercial
- Integrating Prometheus for metric collection
- Using Grafana for dashboards and alert visualisation
- Leveraging OpenTelemetry for standardised instrumentation
- Deploying distributed tracing with Jaeger or Zipkin
- Using ELK or Loki for log aggregation
- Setting up alerting with Alertmanager
- Integrating PagerDuty, Opsgenie, or VictorOps
- Building incident response workflows in Jira or Asana
- Using Terraform for infrastructure as code
- Managing configurations with Ansible or Chef
- Version controlling configurations in Git
- Integrating CI/CD pipelines with SRE gates
- Automating compliance checks in pipelines
- Managing secrets with HashiCorp Vault or AWS Secrets Manager
- Monitoring third-party service health
- Building internal developer portals for SRE services
- Using Spinnaker for automated deployments
- Creating self-service SRE tooling for developers
- Designing API gateways for observability and control
Module 10: Building and Leading SRE Teams - Scaling SRE teams across large organisations
- Defining SRE roles: junior, senior, principal, manager
- Hiring for SRE: technical and cultural fit
- Creating career progression ladders
- Measuring team performance beyond uptime
- Setting team-level SLOs and objectives
- Managing work-life balance and on-call stress
- Implementing fair escalation and rotation policies
- Providing mental health and recovery support
- Conducting performance reviews with focus on growth
- Coaching engineers on incident leadership
- Delivering technical feedback effectively
- Establishing SRE centres of excellence
- Aligning SRE with security, compliance, and risk teams
- Training non-SRE engineers on reliability practices
- Creating internal SRE certifications
- Developing SRE playbooks for shared use
- Fostering cross-functional collaboration
- Running SRE working groups and knowledge shares
- Presenting reliability metrics to executive leadership
Module 11: Advanced SRE Patterns and Anti-Fragility - Designing anti-fragile systems that improve under stress
- Implementing chaos engineering principles
- Safely injecting failures to test resilience
- Using Chaos Monkey and Gremlin for controlled experiments
- Designing game days to simulate major failures
- Planning and structuring large-scale resilience tests
- Measuring recovery effectiveness during chaos tests
- Building confidence through proactive failure testing
- Using dependency graph analysis to map failure paths
- Identifying single points of failure in architecture
- Implementing redundancy at every layer
- Designing for graceful degradation
- Optimising failover switching times
- Testing disaster recovery in isolated environments
- Using shadow traffic to validate new systems
- Validating backup integrity with restore drills
- Ensuring data consistency across replicas
- Managing database failover safely
- Testing message queue resilience under backpressure
- Ensuring idempotency in retry mechanisms
Module 12: Security, Compliance, and SRE - Integrating security into SRE workflows
- Monitoring for unauthorised access and anomalies
- Using SRE tools for security telemetry
- Responding to security incidents using SRE playbooks
- Aligning SRE practices with SOC 2, ISO 27001, HIPAA
- Documenting reliability controls for auditors
- Proving system resilience during compliance reviews
- Managing patching schedules without downtime
- Automating vulnerability remediation workflows
- Integrating configuration drift detection
- Using infrastructure as code for compliance enforcement
- Creating immutable, versioned environments
- Enforcing least privilege access in production
- Monitoring access logs for suspicious patterns
- Responding to zero-day threats with rapid rollbacks
- Coordinating with incident response and security teams
- Conducting post-mortems for security breaches
- Storing forensic data securely
- Designing audit trails for critical operations
- Training SRE teams on security incident protocols
- Designing scalable incident response frameworks
- Classifying incidents by severity and blast radius
- Defining P0, P1, P2, and P3 incident criteria
- Building a centralised incident command structure
- Assigning roles: incident commander, comms lead, resolver
- Creating standardised incident response checklists
- Using runbooks for consistent remediation steps
- Integrating runbooks with monitoring and alerting tools
- Automating initial triage and alert enrichment
- Configuring on-call rotations with fairness and fatigue control
- Using scheduling tools to manage on-call load
- Implementing fatigue-aware rotation policies
- Conducting real-time incident communications
- Drafting clear, concise status updates for stakeholders
- Using incident timelines to track key events
- Documenting decision-making during crisis resolution
- Integrating communication tools: Slack, PagerDuty, Opsgenie
- Post-incident data preservation and chain of custody
- Transitioning from incident to post-mortem phase
- Designing a repeatable incident closure process
Module 5: Post-Mortem Analysis and Learning Systems - Conducting effective blameless post-mortems
- Creating a psychologically safe environment for feedback
- Structuring post-mortem documentation templates
- Capturing timeline, impact, root cause, and decisions
- Differentiating between root cause and contributing factors
- Using causal analysis techniques: 5 Whys, fishbone diagrams
- Built-in failure analysis and design trade-off reviews
- Identifying systemic gaps, not individual errors
- Generating actionable follow-up items from post-mortems
- Tracking remediation tasks to completion
- Integrating post-mortem findings into roadmaps
- Sharing insights across engineering teams
- Publishing internal post-mortem summaries for transparency
- Automating post-mortem report generation
- Using incident data to improve future design decisions
- Building a living knowledge base of past failures
- Analysing incident trends over time
- Reducing recurrence through proactive remediation
- Using post-mortems to refine SLOs and error budgets
- Validating whether fixes actually prevent recurrence
Module 6: Automation and Self-Healing Systems - Principles of automation in SRE
- Identifying repetitive manual tasks for automation
- Designing automated recovery workflows
- Implementing health-based service restarts
- Automating failover in multi-region architectures
- Using circuit breakers and retries with backoff strategies
- Preventing cascading failures with bulkhead patterns
- Automating rollback procedures for failed deployments
- Building self-healing infrastructure with policy engines
- Using machine learning to predict degradation
- Automated capacity scaling based on traffic patterns
- Deploying autonomous canary analysis systems
- Integrating automation with CI/CD pipelines
- Testing automation scripts in staging environments
- Monitoring automated actions for unintended consequences
- Creating audit trails for automated decisions
- Ensuring human oversight for critical automation steps
- Reducing mean time to recovery (MTTR) through automation
- Documenting automation logic for team understanding
- Versioning and managing automation code in Git
Module 7: Capacity Planning and Scalability Engineering - Understanding system capacity limits
- Measuring current utilisation vs. maximum capacity
- Forecasting future load based on growth trends
- Modelling resource needs for traffic spikes
- Designing for ten times today’s load
- Identifying bottlenecks in compute, storage, and network
- Using load testing to validate scalability assumptions
- Simulating peak traffic with realistic workloads
- Stress testing database performance under load
- Automating capacity alerts before saturation
- Designing autoscaling policies for dynamic environments
- Managing cold start issues in serverless platforms
- Optimising container scheduling for resource efficiency
- Right-sizing VMs and containers based on telemetry
- Planning for regional failover capacity
- Estimating recovery time based on data volume
- Benchmarking recovery against business RTOs
- Documenting capacity plans for audit and compliance
- Aligning capacity strategy with budget cycles
- Using predictive analytics to anticipate expansion needs
Module 8: Release Engineering and Deployment Safety - Designing safe deployment pipelines for production
- Implementing blue/green and canary deployments
- Automating deployment gates based on SLO health
- Using feature flags for incremental rollouts
- Monitoring rollout impact in real time
- Stopping deployments based on error budget consumption
- Defining rollback triggers and automated responses
- Integrating post-deployment validation checks
- Using telemetry to verify successful rollouts
- Reducing deployment risk through small-batch releases
- Enforcing deployment windows and change controls
- Managing emergency fixes outside standard processes
- Documenting change requests for compliance
- Integrating release history with incident tracking
- Creating immutable release artefacts
- Validating deployment integrity with checksums
- Managing dependencies across microservices
- Coordinating cross-team release schedules
- Using deployment dashboards for visibility
- Building deployment safety checklists
Module 9: SRE Tools and Platform Integration - Evaluating SRE tooling: open source vs. commercial
- Integrating Prometheus for metric collection
- Using Grafana for dashboards and alert visualisation
- Leveraging OpenTelemetry for standardised instrumentation
- Deploying distributed tracing with Jaeger or Zipkin
- Using ELK or Loki for log aggregation
- Setting up alerting with Alertmanager
- Integrating PagerDuty, Opsgenie, or VictorOps
- Building incident response workflows in Jira or Asana
- Using Terraform for infrastructure as code
- Managing configurations with Ansible or Chef
- Version controlling configurations in Git
- Integrating CI/CD pipelines with SRE gates
- Automating compliance checks in pipelines
- Managing secrets with HashiCorp Vault or AWS Secrets Manager
- Monitoring third-party service health
- Building internal developer portals for SRE services
- Using Spinnaker for automated deployments
- Creating self-service SRE tooling for developers
- Designing API gateways for observability and control
Module 10: Building and Leading SRE Teams - Scaling SRE teams across large organisations
- Defining SRE roles: junior, senior, principal, manager
- Hiring for SRE: technical and cultural fit
- Creating career progression ladders
- Measuring team performance beyond uptime
- Setting team-level SLOs and objectives
- Managing work-life balance and on-call stress
- Implementing fair escalation and rotation policies
- Providing mental health and recovery support
- Conducting performance reviews with focus on growth
- Coaching engineers on incident leadership
- Delivering technical feedback effectively
- Establishing SRE centres of excellence
- Aligning SRE with security, compliance, and risk teams
- Training non-SRE engineers on reliability practices
- Creating internal SRE certifications
- Developing SRE playbooks for shared use
- Fostering cross-functional collaboration
- Running SRE working groups and knowledge shares
- Presenting reliability metrics to executive leadership
Module 11: Advanced SRE Patterns and Anti-Fragility - Designing anti-fragile systems that improve under stress
- Implementing chaos engineering principles
- Safely injecting failures to test resilience
- Using Chaos Monkey and Gremlin for controlled experiments
- Designing game days to simulate major failures
- Planning and structuring large-scale resilience tests
- Measuring recovery effectiveness during chaos tests
- Building confidence through proactive failure testing
- Using dependency graph analysis to map failure paths
- Identifying single points of failure in architecture
- Implementing redundancy at every layer
- Designing for graceful degradation
- Optimising failover switching times
- Testing disaster recovery in isolated environments
- Using shadow traffic to validate new systems
- Validating backup integrity with restore drills
- Ensuring data consistency across replicas
- Managing database failover safely
- Testing message queue resilience under backpressure
- Ensuring idempotency in retry mechanisms
Module 12: Security, Compliance, and SRE - Integrating security into SRE workflows
- Monitoring for unauthorised access and anomalies
- Using SRE tools for security telemetry
- Responding to security incidents using SRE playbooks
- Aligning SRE practices with SOC 2, ISO 27001, HIPAA
- Documenting reliability controls for auditors
- Proving system resilience during compliance reviews
- Managing patching schedules without downtime
- Automating vulnerability remediation workflows
- Integrating configuration drift detection
- Using infrastructure as code for compliance enforcement
- Creating immutable, versioned environments
- Enforcing least privilege access in production
- Monitoring access logs for suspicious patterns
- Responding to zero-day threats with rapid rollbacks
- Coordinating with incident response and security teams
- Conducting post-mortems for security breaches
- Storing forensic data securely
- Designing audit trails for critical operations
- Training SRE teams on security incident protocols
- Principles of automation in SRE
- Identifying repetitive manual tasks for automation
- Designing automated recovery workflows
- Implementing health-based service restarts
- Automating failover in multi-region architectures
- Using circuit breakers and retries with backoff strategies
- Preventing cascading failures with bulkhead patterns
- Automating rollback procedures for failed deployments
- Building self-healing infrastructure with policy engines
- Using machine learning to predict degradation
- Automated capacity scaling based on traffic patterns
- Deploying autonomous canary analysis systems
- Integrating automation with CI/CD pipelines
- Testing automation scripts in staging environments
- Monitoring automated actions for unintended consequences
- Creating audit trails for automated decisions
- Ensuring human oversight for critical automation steps
- Reducing mean time to recovery (MTTR) through automation
- Documenting automation logic for team understanding
- Versioning and managing automation code in Git
Module 7: Capacity Planning and Scalability Engineering - Understanding system capacity limits
- Measuring current utilisation vs. maximum capacity
- Forecasting future load based on growth trends
- Modelling resource needs for traffic spikes
- Designing for ten times today’s load
- Identifying bottlenecks in compute, storage, and network
- Using load testing to validate scalability assumptions
- Simulating peak traffic with realistic workloads
- Stress testing database performance under load
- Automating capacity alerts before saturation
- Designing autoscaling policies for dynamic environments
- Managing cold start issues in serverless platforms
- Optimising container scheduling for resource efficiency
- Right-sizing VMs and containers based on telemetry
- Planning for regional failover capacity
- Estimating recovery time based on data volume
- Benchmarking recovery against business RTOs
- Documenting capacity plans for audit and compliance
- Aligning capacity strategy with budget cycles
- Using predictive analytics to anticipate expansion needs
Module 8: Release Engineering and Deployment Safety - Designing safe deployment pipelines for production
- Implementing blue/green and canary deployments
- Automating deployment gates based on SLO health
- Using feature flags for incremental rollouts
- Monitoring rollout impact in real time
- Stopping deployments based on error budget consumption
- Defining rollback triggers and automated responses
- Integrating post-deployment validation checks
- Using telemetry to verify successful rollouts
- Reducing deployment risk through small-batch releases
- Enforcing deployment windows and change controls
- Managing emergency fixes outside standard processes
- Documenting change requests for compliance
- Integrating release history with incident tracking
- Creating immutable release artefacts
- Validating deployment integrity with checksums
- Managing dependencies across microservices
- Coordinating cross-team release schedules
- Using deployment dashboards for visibility
- Building deployment safety checklists
Module 9: SRE Tools and Platform Integration - Evaluating SRE tooling: open source vs. commercial
- Integrating Prometheus for metric collection
- Using Grafana for dashboards and alert visualisation
- Leveraging OpenTelemetry for standardised instrumentation
- Deploying distributed tracing with Jaeger or Zipkin
- Using ELK or Loki for log aggregation
- Setting up alerting with Alertmanager
- Integrating PagerDuty, Opsgenie, or VictorOps
- Building incident response workflows in Jira or Asana
- Using Terraform for infrastructure as code
- Managing configurations with Ansible or Chef
- Version controlling configurations in Git
- Integrating CI/CD pipelines with SRE gates
- Automating compliance checks in pipelines
- Managing secrets with HashiCorp Vault or AWS Secrets Manager
- Monitoring third-party service health
- Building internal developer portals for SRE services
- Using Spinnaker for automated deployments
- Creating self-service SRE tooling for developers
- Designing API gateways for observability and control
Module 10: Building and Leading SRE Teams - Scaling SRE teams across large organisations
- Defining SRE roles: junior, senior, principal, manager
- Hiring for SRE: technical and cultural fit
- Creating career progression ladders
- Measuring team performance beyond uptime
- Setting team-level SLOs and objectives
- Managing work-life balance and on-call stress
- Implementing fair escalation and rotation policies
- Providing mental health and recovery support
- Conducting performance reviews with focus on growth
- Coaching engineers on incident leadership
- Delivering technical feedback effectively
- Establishing SRE centres of excellence
- Aligning SRE with security, compliance, and risk teams
- Training non-SRE engineers on reliability practices
- Creating internal SRE certifications
- Developing SRE playbooks for shared use
- Fostering cross-functional collaboration
- Running SRE working groups and knowledge shares
- Presenting reliability metrics to executive leadership
Module 11: Advanced SRE Patterns and Anti-Fragility - Designing anti-fragile systems that improve under stress
- Implementing chaos engineering principles
- Safely injecting failures to test resilience
- Using Chaos Monkey and Gremlin for controlled experiments
- Designing game days to simulate major failures
- Planning and structuring large-scale resilience tests
- Measuring recovery effectiveness during chaos tests
- Building confidence through proactive failure testing
- Using dependency graph analysis to map failure paths
- Identifying single points of failure in architecture
- Implementing redundancy at every layer
- Designing for graceful degradation
- Optimising failover switching times
- Testing disaster recovery in isolated environments
- Using shadow traffic to validate new systems
- Validating backup integrity with restore drills
- Ensuring data consistency across replicas
- Managing database failover safely
- Testing message queue resilience under backpressure
- Ensuring idempotency in retry mechanisms
Module 12: Security, Compliance, and SRE - Integrating security into SRE workflows
- Monitoring for unauthorised access and anomalies
- Using SRE tools for security telemetry
- Responding to security incidents using SRE playbooks
- Aligning SRE practices with SOC 2, ISO 27001, HIPAA
- Documenting reliability controls for auditors
- Proving system resilience during compliance reviews
- Managing patching schedules without downtime
- Automating vulnerability remediation workflows
- Integrating configuration drift detection
- Using infrastructure as code for compliance enforcement
- Creating immutable, versioned environments
- Enforcing least privilege access in production
- Monitoring access logs for suspicious patterns
- Responding to zero-day threats with rapid rollbacks
- Coordinating with incident response and security teams
- Conducting post-mortems for security breaches
- Storing forensic data securely
- Designing audit trails for critical operations
- Training SRE teams on security incident protocols
- Designing safe deployment pipelines for production
- Implementing blue/green and canary deployments
- Automating deployment gates based on SLO health
- Using feature flags for incremental rollouts
- Monitoring rollout impact in real time
- Stopping deployments based on error budget consumption
- Defining rollback triggers and automated responses
- Integrating post-deployment validation checks
- Using telemetry to verify successful rollouts
- Reducing deployment risk through small-batch releases
- Enforcing deployment windows and change controls
- Managing emergency fixes outside standard processes
- Documenting change requests for compliance
- Integrating release history with incident tracking
- Creating immutable release artefacts
- Validating deployment integrity with checksums
- Managing dependencies across microservices
- Coordinating cross-team release schedules
- Using deployment dashboards for visibility
- Building deployment safety checklists
Module 9: SRE Tools and Platform Integration - Evaluating SRE tooling: open source vs. commercial
- Integrating Prometheus for metric collection
- Using Grafana for dashboards and alert visualisation
- Leveraging OpenTelemetry for standardised instrumentation
- Deploying distributed tracing with Jaeger or Zipkin
- Using ELK or Loki for log aggregation
- Setting up alerting with Alertmanager
- Integrating PagerDuty, Opsgenie, or VictorOps
- Building incident response workflows in Jira or Asana
- Using Terraform for infrastructure as code
- Managing configurations with Ansible or Chef
- Version controlling configurations in Git
- Integrating CI/CD pipelines with SRE gates
- Automating compliance checks in pipelines
- Managing secrets with HashiCorp Vault or AWS Secrets Manager
- Monitoring third-party service health
- Building internal developer portals for SRE services
- Using Spinnaker for automated deployments
- Creating self-service SRE tooling for developers
- Designing API gateways for observability and control
Module 10: Building and Leading SRE Teams - Scaling SRE teams across large organisations
- Defining SRE roles: junior, senior, principal, manager
- Hiring for SRE: technical and cultural fit
- Creating career progression ladders
- Measuring team performance beyond uptime
- Setting team-level SLOs and objectives
- Managing work-life balance and on-call stress
- Implementing fair escalation and rotation policies
- Providing mental health and recovery support
- Conducting performance reviews with focus on growth
- Coaching engineers on incident leadership
- Delivering technical feedback effectively
- Establishing SRE centres of excellence
- Aligning SRE with security, compliance, and risk teams
- Training non-SRE engineers on reliability practices
- Creating internal SRE certifications
- Developing SRE playbooks for shared use
- Fostering cross-functional collaboration
- Running SRE working groups and knowledge shares
- Presenting reliability metrics to executive leadership
Module 11: Advanced SRE Patterns and Anti-Fragility - Designing anti-fragile systems that improve under stress
- Implementing chaos engineering principles
- Safely injecting failures to test resilience
- Using Chaos Monkey and Gremlin for controlled experiments
- Designing game days to simulate major failures
- Planning and structuring large-scale resilience tests
- Measuring recovery effectiveness during chaos tests
- Building confidence through proactive failure testing
- Using dependency graph analysis to map failure paths
- Identifying single points of failure in architecture
- Implementing redundancy at every layer
- Designing for graceful degradation
- Optimising failover switching times
- Testing disaster recovery in isolated environments
- Using shadow traffic to validate new systems
- Validating backup integrity with restore drills
- Ensuring data consistency across replicas
- Managing database failover safely
- Testing message queue resilience under backpressure
- Ensuring idempotency in retry mechanisms
Module 12: Security, Compliance, and SRE - Integrating security into SRE workflows
- Monitoring for unauthorised access and anomalies
- Using SRE tools for security telemetry
- Responding to security incidents using SRE playbooks
- Aligning SRE practices with SOC 2, ISO 27001, HIPAA
- Documenting reliability controls for auditors
- Proving system resilience during compliance reviews
- Managing patching schedules without downtime
- Automating vulnerability remediation workflows
- Integrating configuration drift detection
- Using infrastructure as code for compliance enforcement
- Creating immutable, versioned environments
- Enforcing least privilege access in production
- Monitoring access logs for suspicious patterns
- Responding to zero-day threats with rapid rollbacks
- Coordinating with incident response and security teams
- Conducting post-mortems for security breaches
- Storing forensic data securely
- Designing audit trails for critical operations
- Training SRE teams on security incident protocols
- Scaling SRE teams across large organisations
- Defining SRE roles: junior, senior, principal, manager
- Hiring for SRE: technical and cultural fit
- Creating career progression ladders
- Measuring team performance beyond uptime
- Setting team-level SLOs and objectives
- Managing work-life balance and on-call stress
- Implementing fair escalation and rotation policies
- Providing mental health and recovery support
- Conducting performance reviews with focus on growth
- Coaching engineers on incident leadership
- Delivering technical feedback effectively
- Establishing SRE centres of excellence
- Aligning SRE with security, compliance, and risk teams
- Training non-SRE engineers on reliability practices
- Creating internal SRE certifications
- Developing SRE playbooks for shared use
- Fostering cross-functional collaboration
- Running SRE working groups and knowledge shares
- Presenting reliability metrics to executive leadership
Module 11: Advanced SRE Patterns and Anti-Fragility - Designing anti-fragile systems that improve under stress
- Implementing chaos engineering principles
- Safely injecting failures to test resilience
- Using Chaos Monkey and Gremlin for controlled experiments
- Designing game days to simulate major failures
- Planning and structuring large-scale resilience tests
- Measuring recovery effectiveness during chaos tests
- Building confidence through proactive failure testing
- Using dependency graph analysis to map failure paths
- Identifying single points of failure in architecture
- Implementing redundancy at every layer
- Designing for graceful degradation
- Optimising failover switching times
- Testing disaster recovery in isolated environments
- Using shadow traffic to validate new systems
- Validating backup integrity with restore drills
- Ensuring data consistency across replicas
- Managing database failover safely
- Testing message queue resilience under backpressure
- Ensuring idempotency in retry mechanisms
Module 12: Security, Compliance, and SRE - Integrating security into SRE workflows
- Monitoring for unauthorised access and anomalies
- Using SRE tools for security telemetry
- Responding to security incidents using SRE playbooks
- Aligning SRE practices with SOC 2, ISO 27001, HIPAA
- Documenting reliability controls for auditors
- Proving system resilience during compliance reviews
- Managing patching schedules without downtime
- Automating vulnerability remediation workflows
- Integrating configuration drift detection
- Using infrastructure as code for compliance enforcement
- Creating immutable, versioned environments
- Enforcing least privilege access in production
- Monitoring access logs for suspicious patterns
- Responding to zero-day threats with rapid rollbacks
- Coordinating with incident response and security teams
- Conducting post-mortems for security breaches
- Storing forensic data securely
- Designing audit trails for critical operations
- Training SRE teams on security incident protocols
- Integrating security into SRE workflows
- Monitoring for unauthorised access and anomalies
- Using SRE tools for security telemetry
- Responding to security incidents using SRE playbooks
- Aligning SRE practices with SOC 2, ISO 27001, HIPAA
- Documenting reliability controls for auditors
- Proving system resilience during compliance reviews
- Managing patching schedules without downtime
- Automating vulnerability remediation workflows
- Integrating configuration drift detection
- Using infrastructure as code for compliance enforcement
- Creating immutable, versioned environments
- Enforcing least privilege access in production
- Monitoring access logs for suspicious patterns
- Responding to zero-day threats with rapid rollbacks
- Coordinating with incident response and security teams
- Conducting post-mortems for security breaches
- Storing forensic data securely
- Designing audit trails for critical operations
- Training SRE teams on security incident protocols