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Discovering   Possibilities

Features of Prometheus

  • A multi-dimensional data model with time series data identified by metric name and key/value pairs
  • PromQL, a flexible query language to leverage this dimensionality
  •  N o reliance on distributed storage; single server nodes are autonomous
  • Time series collection happens via a pull model over HTTP
  • Pushing time series is supported via an intermediary gateway
  • Targets are discovered via service discovery or static configuration
  • Multiple modes of graphing and dashboarding support

What you'll be learning

  • Fundamentals of Prometheus
  • Concepts of Prometheus, Terms
  • Implement Monitoring, Alerting 
  • Real Time Cases
  • Start with the implementation of Prometheus core concepts - Architecture, Installation, PromQL, Exporters, Functions, Operators, etc.
  • Integration with many Alert Notifiers - Gmail, PagerDuty, Slack.
  • Build value added dashboards with GRAFANA
  • Monitor the Amazon Cloud (AWS) with Prometheus.

Prometheus Course Content

  • Introduction to Prometheus Concepts
  • Architecture of Prometheus Server
  • Installation of Prometheus
  • PromQL - prometheus query language
  • Application Monitoring
  • Instrumentation
  • Exposition
  • Labels
  • Dashboarding with Grafana
  • Infrastructure Monitoring
  • Node exporter
  • Service Discovering
  • Containers and Kubernetes
  • Common Exporters
  • Writing Exporters
  • Alerting, AlertManager
  • Deployment
  • Troubleshooting
  • Best Practices
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