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Introduction to Grafana Loki Training

Live Online & Classroom Enterprise Training

Introduction to Grafana Loki provides foundational knowledge of log aggregation, storage, and analysis using Loki. This course explains how Loki integrates with Grafana for visualization and helps learners understand modern observability practices using logs.

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What is Introduction to Grafana Loki Course about?

This course introduces learners to Grafana Loki, a horizontally scalable, highly available log aggregation system inspired by Prometheus. Participants will learn Loki architecture, log ingestion methods, querying using LogQL, integration with Grafana dashboards, and real-world monitoring use cases. By the end of the course, learners will be able to deploy Loki, collect logs from multiple sources, and analyze them effectively for troubleshooting and observability.

What are the objectives of Introduction to Grafana Loki Course ?

  • Understand logging and observability fundamentals
  • Learn Grafana Loki architecture and components
  • Configure log collection using agents like Promtail
  • Query logs using LogQL
  • Visualize logs and metrics using Grafana dashboards

Who is Introduction to Grafana Loki Course for?

  • DevOps Engineers
  • Cloud Engineers
  • Site Reliability Engineers (SREs)
  • System Administrators
  • Developers working with microservices

What are the prerequisites for Introduction to Grafana Loki Course?

Prerequisite:

  • Basic Linux command line knowledge
  • Understanding of monitoring and logging concepts
  • Basic networking fundamentals
  • Familiarity with containers (Docker/Kubernetes – basic level)
  • Basic knowledge of Grafana or monitoring tools


Learning Path:

  • Fundamentals of Logging and Observability
  • Introduction to Grafana and Monitoring Stack
  • Grafana Loki Architecture and Setup
  • Log Collection, Storage, and Querying with LogQL
  • Building Dashboards and Real-world Troubleshooting


Related Courses:

  • Grafana Fundamentals and Dashboarding
  • Prometheus Monitoring Fundamentals
  • Kubernetes Monitoring and Logging
  • Observability with OpenTelemetry

Available Training Modes

Live Online Training

2 Days

Course Outline Expand All

Expand All

  • Overview of modern logging and observability
  • Logs vs Metrics vs Traces
  • Role of centralized logging in monitoring
  • Overview of the Grafana observability stack
  • Use cases for log aggregation
  • Grafana Loki architecture overview
  • How Loki differs from traditional log systems
  • Label-based log indexing concepts
  • Loki components (Distributor, Ingester, Querier)
  • Loki storage model
  • Deployment architectures (Single binary, Microservices)
  • Installing Loki in Kubernetes
  • Configuring storage backends
  • Loki configuration file basics
  • Scaling Loki deployments
  • LogQL query language overview
  • Log stream selection
  • Log filtering basics
  • LogQL syntax structure
  • Query performance considerations
  • Navigating Grafana Explore interface
  • Viewing logs in real time
  • Filtering and searching logs visually
  • Saving queries
  • Correlating logs with metrics
  • Aggregation functions overview
  • Counting log entries
  • Time-based aggregation
  • Grouping logs by labels
  • Performance optimization for aggregations
  • Text search techniques
  • Regular expressions in LogQL
  • Label filtering strategies
  • Combining filters and aggregations
  • Search optimization techniques
  • Creating dashboards using logs
  • Log panels configuration
  • Combining logs and metrics dashboards
  • Alerting from log queries
  • Visualization best practices
  • Parsing structured vs unstructured logs
  • JSON log parsing
  • Pattern extraction
  • Label creation from parsed fields
  • Optimizing parsed queries
  • Converting logs into metrics
  • Creating recording rules
  • Using logs for alerting
  • Monitoring trends using logs
  • Observability best practices

Who is the instructor for this training?

The trainer for this Introduction to Grafana Loki Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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