Observability & Monitoring Certification

Module 1: Introduction to Observability

• Observability fundamentals
• Monitoring vs observability
• System visibility
• Operational intelligence
• Observability objectives
• Modern infrastructure challenges

Module 2: Monitoring Fundamentals

• Monitoring concepts
• Infrastructure monitoring
• Application monitoring
• Service monitoring
• Resource monitoring
• Monitoring strategies

Module 3: Pillars of Observability

• Metrics
• Logs
• Traces
• Events
• Correlation
• Observability data

Module 4: Metrics Fundamentals

• Metric types
• Counters
• Gauges
• Histograms
• Summaries
• Metric collection

Module 5: Prometheus Fundamentals

• Prometheus architecture
• Time-series data
• Scraping
• Targets
• Exporters
• Prometheus configuration

Module 6: PromQL

• PromQL fundamentals
• Metric selection
• Labels
• Filtering
• Aggregation
• Query functions

Module 7: Grafana Fundamentals

• Grafana architecture
• Data sources
• Dashboards
• Panels
• Queries
• Visualisation

Module 8: Dashboard Design

• Dashboard planning
• Metric selection
• Panel configuration
• Variables
• Dashboard organisation
• Operational dashboards

Module 9: Alerting Fundamentals

• Alert conditions
• Thresholds
• Alert rules
• Alert severity
• Notifications
• Alert lifecycle

Module 10: Effective Alert Management

• Actionable alerts
• Alert fatigue
• Alert grouping
• Routing
• Escalation
• Alert optimisation

Module 11: Logging Fundamentals

• Application logs
• System logs
• Structured logging
• Log levels
• Log formats
• Log management

Module 12: Centralised Logging

• Log collection
• Log forwarding
• Log aggregation
• Log storage
• Log searching
• Log retention

Module 13: Log Analysis

• Log filtering
• Search queries
• Error identification
• Pattern analysis
• Event correlation
• Troubleshooting with logs

Module 14: Distributed Tracing

• Trace fundamentals
• Spans
• Trace context
• Distributed requests
• Service dependencies
• Latency analysis

Module 15: OpenTelemetry Fundamentals

• OpenTelemetry architecture
• Instrumentation
• Collectors
• Metrics
• Logs
• Traces

Module 16: Application Performance Monitoring

• Application metrics
• Response times
• Throughput
• Error rates
• Dependencies
• Performance bottlenecks

Module 17: Infrastructure Monitoring

• CPU monitoring
• Memory monitoring
• Disk monitoring
• Network monitoring
• Host availability
• Resource utilisation

Module 18: Kubernetes Observability

• Cluster monitoring
• Node metrics
• Pod metrics
• Container logs
• Kubernetes events
• Workload health

Module 19: SLI, SLO & Reliability Monitoring

• Service Level Indicators
• Service Level Objectives
• Reliability targets
• Error budgets
• Availability measurement
• Performance indicators

Module 20: Incident Investigation

• Incident detection
• Metric correlation
• Log investigation
• Trace analysis
• Root cause identification
• Incident timelines

Module 21: Observability Troubleshooting & Best Practices

• Missing telemetry
• Noisy alerts
• Dashboard issues
• Monitoring gaps
• Performance analysis
• Observability best practices

Module 22: Practical Observability Implementation

• Metrics collection
• Prometheus configuration
• Grafana dashboard creation
• Centralised logging
• Alert configuration
• Incident investigation