Building the perfect monitoring solution using Prometheous, Grafana, Elastic stack, Alert manager and  Jagger

Building the perfect monitoring solution using Prometheous, Grafana, Elastic stack, Alert manager and  Jagger

Main Speaker:


Yaniv Cohen

Tracks:

After Event Workshops
DevOps

Seminar Categories:

After Event Devops
After Event Workshops
After Event Workshops
DevOps
General

Course ID:

50914

Date:

02/07/2024

Time:

Daily seminar
9:00-16:30

Location:

John Bryce, Tel Aviv

Who Should Attend

This workshop is designed for system administrators, DevOps engineers, and developers who want to build and implement a comprehensive monitoring solution for their software environments.

Prerequisites

  • Familiarity with Linux/Unix command line, Docker, and Kubernetes – Must
  • Basic understanding of networking and application architectures.

Course Contents

 

  • Overview of Monitoring and Observability: Differences and how they complement each other in a modern software environment.
  • Components of a Monitoring Solution: Introduction to Prometheus, Grafana, Elasticsearch, Alert manager, and Jaeger, highlighting their roles and interactions in a comprehensive monitoring setup.

 

Prometheus: Fundamentals and Hands-On

  • Prometheus Core Concepts
  • Understanding metrics types, data model, and architecture.
  • Installation and configuration basics for a monitoring setup.
  • Instrumenting Applications with Prometheus
  • Setting up Prometheus exporters for Linux, Docker, and Kubernetes metrics collection.
  • Configuring Prometheus to scrape metrics from various exporters.
  • Creating Alerts with Alert manager
  • Defining alert rules in Prometheus and configuring Alert manager for notifications.
  • Hands-On: Setting up alerts for common scenarios in monitored applications and infrastructure.

 

Grafana: Dashboards and Visualization

  • Introduction to Grafana
  • Installing and configuring Grafana.
  • Integrating Grafana with Prometheus as a data source.
  • Building Effective Dashboards
  • Querying Prometheus metrics in Grafana.
  • Dashboard creation best practices: organizing, visualizing, and annotating data for clarity.
  • Hands-On: Participants will create dashboards for visualizing infrastructure and application metrics collected by Prometheus.

 

Elasticsearch: Log Management and Analysis

  • Elasticsearch Basics
  • Overview of the Elastic Stack and its components.
  • Setting up Elasticsearch for log storage and querying.
  • Log Ingestion and Analysis
  • Configuring log shipping to Elasticsearch using File beat and Logstash.
  • Creating and managing indices in Elasticsearch.
  • Kibana: Visualization and Dashboards
  • Introduction to Kibana for logs visualization.
  • Hands-On: Building dashboards in Kibana for log analysis and monitoring insights.

 

Jaeger: Tracing and Performance Monitoring

  • Introduction to Distributed Tracing
  • The role of tracing in performance monitoring and troubleshooting.
  • Overview of Jaeger: architecture, components, and integration points.
  • Instrumenting Applications for Tracing
  • Configuring applications to send traces to Jaeger.
  • Understanding trace context and propagation.
  • Demo and Hands-On Exploration
  • Setting up Jaeger in a monitored environment.
  • Walkthrough of using Jaeger UI for trace analysis and identifying performance bottlenecks.

 

Integrating Monitoring Components

  • Combining Tools for a Unified Monitoring Strategy
  • Strategies for integrating Prometheus, Grafana, Elasticsearch, and Jaeger for comprehensive observability.
  • Sharing data between tools and leveraging each tool’s strengths.
  • Case Studies and Best Practices
  • Analyzing real-world scenarios where integrated monitoring solutions identify and resolve issues.
  • Discussing maintenance, scaling, and security considerations for a robust monitoring setup.

 

Advanced Topics and Q&A

  • Exploring Advanced Features and Techniques
  • Advanced querying in Prometheus and Grafana.
  • Leveraging machine learning features in Elasticsearch for anomaly detection.
  • Open Discussion and Q&A Session
  • Addressing participant questions and discussing challenges encountered in monitoring setups.


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