Observability and SRE: Know Before Users Complain
Observability & Site Reliability Engineering: leave with structured logs, metrics and traces with correlation IDs, SLOs, alerts and a postmortem template.
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- Bring your own work — code, campaign, report or plan
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What this session would cover
Proposed outline — the mentor finalises the agenda once this topic is scheduled.
- 1Why observability & site reliability engineering matters — the common problem: Outages are reported by customers because logs, metrics and alerts don't tell the story.
- 2Core concepts in plain language: Logs, metrics, traces, instrumentation, correlation IDs, service-level indicators
- 3Going further: service-level objectives, error budgets, alerting, on-call practices, incident response, postmortems
- 4Framework walkthrough: OSI / TCP-IP Models, SLI / SLO / Error Budgets, ITIL Practices, FinOps Framework
- 5Practical workflow, built live: Structured logs, metrics and traces with correlation IDs, SLOs, alerts and a postmortem template.
- 6How to measure it: Availability, Mean time to recovery, Incident frequency, Cost per unit of usage
- 7An illustrative case (a fictional example, not a client result), then live Q&A on your own situation
Who it's for
- • Students and freshers entering tech
- • Working developers and engineers
- • Tech leads and architects
You'd leave with
- Structured logs, metrics and traces with correlation IDs, SLOs, alerts and a postmortem template.
- A working understanding of OSI / TCP-IP Models and SLI / SLO / Error Budgets
- A short list of measures to track: Availability, Mean time to recovery, Incident frequency
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