← कोर्सच्या मुख्य पानाकडे परत

🗓️ अभ्यास योजना — 12 धडे, 4 आठवडे

~3 sessions a week: read the lesson (~15 min) + run and change its section of obs/demo.py (~25 min). Tick lessons off — progress is saved in this browser.

🐢 स्थिर: आठवड्याला 3 सत्रे → 4 आठवड्यांत पूर्ण.
🐇 वेगवान: प्रत्येक भागासाठी एक weekend → 3 weekends मध्ये पूर्ण.
💰 Cost: zero. Python 3 on your laptop; no cloud account.
0 / 12

WEEK 1 📓 The diary and the chart

Why observability, logs, metrics. Lab: add a field to a log line and query it; add a label and watch the series count.

~35 मि.
~40 मि.
~40 मि.
🏁 Checkpoint: you can say which signal answers which question — and why user_id never goes in a label.

WEEK 2 ⏱️ Slow, and where

Percentiles, tracing, OpenTelemetry. Lab: move a bucket boundary; add a span and find the new critical path; change the tail-sampling rule.

~40 मि.
~40 मि.
~40 मि.
🏁 Checkpoint: you can find the slow hop in a trace and explain why percentiles cannot be averaged.

WEEK 3 🚨 Ask and alarm

Prometheus and Grafana, alerting, SLOs. Lab: restart the counter; change the burn-rate thresholds; set a different SLO.

~45 मि.
~45 मि.
~40 मि.
🏁 Checkpoint: you can write a burn-rate alert and say how much budget one bad day used.

WEEK 4 🧯 Drill, why, report

Incident response, root cause, postmortems. Lab: move the detection minute; add a change; write your own postmortem.

~40 मि.
~40 मि.
~40 मि.
🏁 Checkpoint: 🏆 Capstone: instrument a small service end to end — structured logs with trace ids, RED metrics, traces, an SLO with burn-rate alerts — then run a game day and write the postmortem.

🎓 12 / 12 — the health room is yours!

Next: the System Design school plans observability into every box, the Scaling school shows what to watch under load, and the School portal has the rest.