base on Repo for learning observability # 📚 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. ", Assign "at most 3 tags" to the expected json: {"id":"11663","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"