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πŸ” Splunk & Observability

Learn to monitor, search and alert on machine data with Splunk and modern observability stacks.

⏱ 8 weeks Live Online β€’ Small batch

Overview

Observability engineers are in demand as systems become more distributed. This course teaches Splunk search, dashboards, alerts and the broader observability mindset needed to keep production healthy.

What you will learn

  • Splunk search and SPL
  • Dashboards and visualisations
  • Alerts and scheduled reports
  • Log parsing and data onboarding
  • Metrics, traces and the observability triad
  • Incident response and SLOs

Tools & technologies

πŸ”SplunkπŸ“ŠGrafanaπŸ“ˆPrometheus🐳Docker☁️AWS🐍PythonπŸ“¦ElasticsearchπŸ“Kibana

Syllabus

  • Logs, metrics and traces
  • The observability triad
  • Incident response basics
  • Tooling landscape
  • SPL fundamentals
  • Filtering and transformations
  • Stats and eval
  • Subsearches and joins
  • Dashboard design
  • Tokens and drilldowns
  • Alert thresholds
  • Scheduled reports
  • Forwarders and inputs
  • Sourcetypes and parsing
  • Field extraction
  • Data quality
  • Macros and lookups
  • Data models
  • App development overview
  • Performance tuning
  • SLOs and error budgets
  • Incident runbooks
  • Capstone scenario
  • Interview preparation
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