Observability and Monitoring Training
Build production-grade visibility into your systems with this 3-day observability and monitoring training. Learn how to collect metrics, logs, and traces, design actionable alerts, and use observability data to reduce incident impact and improve reliability.
Training Details
Section titled “Training Details”| Duration | 3 days (24 hours) |
| Level | Intermediate |
| Delivery | In-person, Live online, Hybrid |
| Certification | N/A |
Who Is This For?
Section titled “Who Is This For?”- DevOps and SRE teams operating production systems
- Platform engineers building shared observability services
- Developers responsible for instrumenting services
- Technical leads improving operational visibility and incident response
Learning Outcomes
Section titled “Learning Outcomes”After completing this training, you’ll be able to:
- Design an observability stack for cloud-native systems
- Collect and query metrics, logs, and traces
- Build dashboards that support engineering and operations workflows
- Create alerts that are actionable and low noise
- Instrument applications using modern observability standards
- Troubleshoot incidents using correlated telemetry
Detailed Agenda
Section titled “Detailed Agenda”Day 1: Metrics and Monitoring Fundamentals
Section titled “Day 1: Metrics and Monitoring Fundamentals”Module 1: Observability Concepts
- Monitoring vs observability
- Golden signals and RED/USE methods
- Telemetry design principles
- Hands-on: Define a service observability model
Module 2: Metrics with Prometheus
- Exporters, scraping, and service discovery
- PromQL basics and recording rules
- Capacity and performance dashboards
- Hands-on: Collect and query application metrics
Module 3: Visualization with Grafana
- Dashboard design and panel selection
- Variables, drill-downs, and annotations
- Sharing dashboards across teams
- Hands-on: Build operational dashboards
Day 2: Logs, Traces, and Alerting
Section titled “Day 2: Logs, Traces, and Alerting”Module 4: Logging Architecture
- Structured logging patterns
- Centralized collection with Loki or ELK
- Log search, retention, and cost tradeoffs
- Hands-on: Centralize and query logs
Module 5: Distributed Tracing
- Trace context and spans
- OpenTelemetry instrumentation
- Service dependency analysis
- Hands-on: Trace a request through services
Module 6: Alerting and Incident Response
- Alert routing and severity models
- SLOs, burn rates, and symptom-based alerting
- Reducing noisy alerts
- Hands-on: Create actionable alerts
Day 3: Operating Observability at Scale
Section titled “Day 3: Operating Observability at Scale”Module 7: Platform Patterns
- Multi-tenant observability
- Data retention and governance
- Scaling collectors and storage backends
- Hands-on: Design a shared observability platform
Module 8: Troubleshooting Workflows
- Correlating metrics, logs, and traces
- Incident timelines and root cause analysis
- Post-incident review patterns
- Hands-on: Diagnose a production incident
Module 9: Adoption and Instrumentation Strategy
- Instrumentation standards for teams
- Developer experience and self-service observability
- Maturity roadmap and ownership model
- Hands-on: Draft an observability rollout plan
Prerequisites
Section titled “Prerequisites”- Experience running or developing applications in production
- Basic Linux and networking familiarity
- Understanding of containers and distributed systems concepts
- Helpful but not required: prior Prometheus or Grafana exposure
Delivery Formats
Section titled “Delivery Formats”| Format | Description |
|---|---|
| In-Person | On-site at your company’s location, hands-on with direct interaction |
| Live Online | Interactive virtual sessions with screen sharing and real-time labs |
| Hybrid | Combination of on-site and remote sessions, flexible scheduling |
All formats include hands-on labs, dashboards, alerting examples, and post-training support.