SkillData EngineerAI/ML EngineerForward Deployed EngineerSoftware Engineer (Backend)DevOps / Platform EngineerCloud and Network Engineer
Library · practice
Monitoring and observability
Know what your systems are doing from their metrics, logs and traces, define service level objectives, and alert only on what matters.
Monitoring and observability appeared in 72% of the DevOps and Platform Engineer and 40% of the Cloud and Network Engineer postings we read, and in about a quarter of software, security and AI postings.
The examples instrument a real service with the Prometheus client and test alert rules with promtool, Prometheus's own checker.
Beginner lessons for Monitoring and observability are being written.
- 1IntermediateA fast catalogue with MongoDB and a Redis cache
- 2IntermediateAn LLM triage integration driven by helpdesk webhooks
- 3IntermediateFind and fix a slow endpoint with measurements
- 4IntermediateMonitoring, SLOs and alerts that wake the right person
- 5AdvancedA cloud cost review with savings you can prove
- 6AdvancedA data question agent with guardrails and an eval suite
- 7AdvancedA detection engineering lab with tested coverage
- 8AdvancedA golden path: a service template with everything built in
- 9AdvancedA hub-and-spoke cloud network in Terraform
- 10AdvancedBuild the notification service from the design
- 11AdvancedDesign and build catalogue search for millions of products
- 12AdvancedE-commerce microservices on Kubernetes that survive failure
- 13AdvancedHigh availability and disaster recovery you have tested
- 14AdvancedPass a customer's security review with an LLM deployment
- 15AdvancedReal-time taxi demand stream
- 16AdvancedRun a customer pilot end to end
- 17AdvancedRun a game day: break things, respond, write the postmortem
- 18AdvancedSafe deploys with canaries and automatic rollback
- 19AdvancedServe a model on Kubernetes with autoscaling and a safe rollout