Observability with Grafana, Prometheus,Loki, Alloy and Tempo

Unlock the power of observability with the comprehensive Grafana Stack! This course provides a hands-on path to building robust modern observability systems, covering everything from metrics to distributed tracing and log management.

What you'll learn:

• Metrics with Prometheus: Master the installation, configuration, and practical application of Prometheus for effective metric collection.
• Log Management with Grafana Loki: Ingest and visualize logs with Grafana Loki, including dynamic label extraction from unstructured log data.
• Distributed Tracing with Grafana Tempo & OpenTelemetry (OTel): Dive into OpenTelemetry (OTel) for collecting and exporting signals from your applications. Learn to use Grafana Tempo to trace distributed calls and analyze service graphs using TraceQL.
• Telemetry Pipelines with Grafana Alloy: Set up Grafana Alloy to receive, process, and export OTel metrics and traces, creating powerful telemetry pipelines.
• Enterprise Metrics with Grafana Mimir: Explore Grafana Mimir, a highly scalable time-series database, for storing metrics at scale. Learn deployment in both monolithic and microservices modes, including within Kubernetes.
• Powerful Dashboards in Grafana: Design effective Grafana dashboards for real-world use cases, including APIs, infrastructure, and microservices.
• Alerting Strategies: Implement effective alerting based on your observability data.

Course Highlights:

• Hands-on Learning: Build a complete observability stack using the Grafana Stack with a practical, real-world example: ShoeHub, a fictional online retailer.
• Multi-Platform Deployment: Deploy Grafana on Windows, macOS, Linux (including Ubuntu and Amazon Linux), and Docker.
• No Setup Headaches: Access an instant, browser-based playground powered by Killer Coda to start experimenting without any installation.
• Comprehensive Resources:
  • Docker Compose files for all components (Prometheus, Grafana, Loki, Alloy, Tempo, Mimir, ShoeHub metrics, and Example Microservices Tracing).
  • Sample dashboards and panel configurations to accelerate your learning.
  • Log generator script in Python for practical log data creation.
  • Set up guides for multiple platforms.
  • Binary executable files for ShoeHub and example microservices (optional).
• Optional Cloud Lab: Utilize the Killer Coda cloud environment for instant hands-on practice.
• Dedicated Support: Receive prompt responses to your questions via the Udemy Q&A system.

This course is perfect for developers, DevOps engineers, and anyone looking to master observability and build scalable, reliable applications. Start your journey to becoming an observability expert today!