DevOps SRE : 30-Day Observability & Monitoring Roadmap скачать в хорошем качестве

DevOps SRE : 30-Day Observability & Monitoring Roadmap

#devopsengineer #devopsmadeeasy #sre #monitoring 30-Day Observability & Monitoring Roadmap ________________________________________ Overall Learning Goals You will learn: • Monitoring vs Observability • Metrics, Logs, Traces (3 pillars) • Prometheus, Grafana, Loki, Jaeger • Alerting principles • Dashboards + troubleshooting • Kubernetes observability basics • How to debug real issues ________________________________________ WEEK 1 – FOUNDATIONS ________________________________________ Day 1 – Monitoring Basics Learn • What is Monitoring? • What is Observability? • Why modern systems need them Do • Watch an intro video • Write your own definition ________________________________________ Day 2 – Metrics, Logs & Traces Learn • Metrics = numeric time-series • Logs = event text entries • Traces = request flow across services Do • Identify examples from: o A website o A mobile app ________________________________________ Day 3 – System Metrics Learn • CPU • Memory • Disk I/O • Network throughput Do Run commands: top free -h df -h ________________________________________ Day 4 – Application Monitoring Learn Golden Signals: • Latency • Traffic • Errors • Saturation ________________________________________ Day 5 – Linux Logs Learn • syslog • app logs • log levels: INFO, DEBUG, WARN, ERROR Do View log files: /var/log/syslog /var/log/auth.log ________________________________________ Day 6 – Monitoring Tools Overview Learn • Prometheus • Grafana • ELK vs Loki • Jaeger ________________________________________ Day 7 – Review Do • Revision ________________________________________ WEEK 2 – METRICS WITH PROMETHEUS ________________________________________ Day 8 – Prometheus Basics Learn • Pull vs Push model • Time-series storage Do • Install Prometheus (Docker preferred) ________________________________________ Day 9 – Node Exporter Learn • What is an exporter? Do • Install node_exporter • View /metrics endpoint ________________________________________ Day 10 – PromQL Basics Learn Functions: • sum() • avg() • rate() ________________________________________ Day 11 – Grafana Basics Learn • Panels • Dashboards Do • Add Prometheus as datasource ________________________________________ Day 12 – System Dashboard Do • CPU usage • Memory usage • Disk usage graphs ________________________________________ Day 13 – Alerting Basics Learn • Alert rules • Why alerting fails • Alert fatigue ________________________________________ Day 14 – Review Do • Create high CPU intentionally • Watch metrics react ________________________________________ WEEK 3 – LOGS & TRACES ________________________________________ Day 15 – Logging Concepts Learn • Structured logs • Unstructured logs • Correlation IDs ________________________________________ Day 16 – Loki Do • Install Loki + Promtail • Send syslogs ________________________________________ Day 17 – Grafana Logs Do • Query logs • Filter ERROR logs ________________________________________ Day 18 – Distributed Tracing Learn • Traces • Spans • Context propagation ________________________________________ Day 19 – Jaeger Do • Install Jaeger • Run sample app with tracing ________________________________________ Day 20 – Connect Metrics + Logs + Traces Do Trace an issue end-to-end: • Metric alert → find related logs → analyze trace ________________________________________ Day 21 – Review Teach someone / yourself ________________________________________ WEEK 4 – REAL-WORLD SYSTEMS ________________________________________ Day 22 – SLI, SLO, SLA Learn • Error budgets • Reliability targets ________________________________________ Day 23 – Alert Design Learn Good alerts: • Actionable • Non-noisy • Measurable ________________________________________ Day 24 – Kubernetes Observability Intro Learn Why Kubernetes complicates observability ________________________________________ Day 25 – Kubernetes Metrics Do Explore: • kube-state-metrics • cAdvisor ________________________________________ Day 26 – Service Dashboards Do Add graphs: • Request rate • Error rate • Latency p95 ________________________________________ Day 27 – Incident Simulation Simulate: • Pod crash • High latency Debug using dashboards/logs/traces ________________________________________ Day 28 – Final Stack Project Deploy full stack: • Prometheus • Grafana • Loki • Jaeger ________________________________________ Day 29 – Documentation Write: • Architecture • Dashboards • Alerts logic ________________________________________ Day 30 – Career Prep Prepare interview answers: • Monitoring vs Observability • Debugging production issues • SRE mindset ________________________________________