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observability-zero-to-hero

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Repo for learning observability

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# 📚 7-Day Observability Tutorial Series

Welcome to the 7-Day Observability Tutorial Series! This repository contains the code and detailed explanations for setting up and understanding observability in Kubernetes using Prometheus, Grafana, Elasticsearch Fluentbit, Kibana, Jaeger, groundcover(eBPF), opentelemetry e.t.c.,.

## 📅 Overview of Each Day

### Day 1: Introduction to Observability
- **Concepts Covered**:
  - Introduction to Observability, Monitoring, Logging, and Tracing.
  - The difference between Monitoring and Observability.
  - Tools available for Monitoring and Observability.
  - Comparison between monitoring and observing in Bare-Metal Servers vs. Kubernetes.
- **Key Learning**:
  - Understand the fundamental concepts of observability.
  - Learn why monitoring and observability are crucial in modern IT environments.

### Day 2: Prometheus - Setting Up Monitoring
- **Concepts Covered**:
  - Introduction to Prometheus and its architecture.
  - Setup and configuration of Prometheus in an EKS cluster.
  - Installation of kube-prometheus-stack with Helm and integrating it with Grafana.
  - Basic queries and setup for monitoring with Prometheus and Grafana.
- **Key Learning**:
  - Get hands-on experience with Prometheus and Grafana.
  - Learn to install and configure Prometheus on Kubernetes.

### Day 3: Metrics and PromQL in Prometheus
- **Concepts Covered**:
  - Introduction to PromQL and basic querying techniques.
  - Aggregation and functions in PromQL to analyze metrics data.
- **Key Learning**:
  - Master the Prometheus Query Language (PromQL) for querying and analyzing metrics.

### Day 4: Instrumentation and Custom Metrics
- **Concepts Covered**:
  - Instrumentation for adding monitoring capabilities to applications.
  - Understanding different types of metrics in Prometheus: Counter, Gauge, Histogram, and Summary.
  - Writing custom metrics in a Node.js application using the `prom-client` library.
  - Dockerizing the application and deploying it on Kubernetes.
  - Setting up Alertmanager for alerting based on custom metrics.
- **Key Learning**:
  - Learn how to instrument applications to expose custom metrics.
  - Configure alerts in Alertmanager to monitor application performance.
  - Understand how to work with different types of metrics in Prometheus.

### Day 5: Logging with EFK Stack
- **Concepts Covered**:
  - Introduction to logging in distributed systems and Kubernetes.
  - Setting up the EFK stack (Elasticsearch, Fluentbit, Kibana) on Kubernetes.
  - Detailed setup and configuration for collecting and visualizing logs.
  - Cleaning up the Kubernetes cluster and resources.
- **Key Learning**:
  - Understand the importance of logging and how to set up

### Day 6: Distributed Tracing with Jaeger
- **Concepts Covered**:
  - Introduction to Jaeger and its architecture for distributed tracing.
  - Setting up Jaeger in a Kubernetes cluster using Helm.
  - Instrumenting services using OpenTelemetry to enable tracing.
  - Viewing and analyzing traces in the Jaeger UI.
  - Cleaning up the environment after setting up Jaeger.
- **Key Learning**:
  - Gain insights into distributed tracing and how it helps in debugging and performance optimization.
  - Learn how to set up and configure Jaeger for tracing in a microservices architecture.

### Day 7: OpenTelemetry – Setting Up Unified Observability
- **Concepts Covered**:
  - Introduction to OpenTelemetry, a unified framework for observability.
  - Understanding how OpenTelemetry integrates tracing, metrics, and logging.
  - Comparison of OpenTelemetry with prior observability tools like Jaeger, Prometheus
  - Supported programming languages and multi-language support in OpenTelemetry.
  - Step-by-step setup of OpenTelemetry in Kubernetes.
- **Key Learning**:
  - Learn how OpenTelemetry simplifies the process of collecting and exporting telemetry data.
  - Understand the benefits of a unified observability approach using OpenTelemetry.
  - Gain hands-on experience with setting up OpenTelemetry Collector, Prometheus, Jaeger, and Elasticsearch to monitor a Golang microservice application.

observability-zero-to-hero

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