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ETL Project Implementation Guide - Phase by Phase

This project implements a robust, production-grade ETL pipeline on a Docker Swarm cluster, following modern DevOps and security best practices. The architecture includes PostgreSQL HA, Keycloak authentication, Apache Spark for data processing, and a full observability stack (Prometheus, Grafana, Loki, OpenTelemetry).


Phase 1: Project Introduction & Setup

  1. Understand ETL Fundamentals
  2. Provision Infrastructure
    • Deploy Swarm managers (public IP, SSH bastion) and workers (private IP). See tasks/Project.md for node inventory and architecture diagrams.
    • Harden OS using Ansible and Lynis (src/ansible/README.md).
  3. DevOps Planning

Phase 2: Authentication

  1. Keycloak Deployment
    • Deploy Keycloak as a Docker service with HTTPS/SSL (src/services/keycloak/README.md).
    • Configure realms, clients, and roles (System Administrator, Data Manager, Analyst).
    • Integrate Keycloak with PostgreSQL for user data (docs/keycloak/test/README.md).
    • Connect frontend/backend to Keycloak on the same Docker network.
  2. CI/CD & Environments
    • Implement CI/CD for automatic builds, tests, and Docker image publication (tasks/Tasks.md).
    • Provide isolated dev, test, and prod environments.
    • Prepare Kubernetes manifests for future cloud-native deployments.

Phase 3: Data Loading

  1. Database Infrastructure
    • Deploy PostgreSQL HA cluster (master/replica) with HAProxy (src/services/database/).
    • Configure access control for team independence.
    • Automate backups and test restoration (tasks/Project.md).
  2. Security & Validation
    • Enforce DoS protection, file size/upload limits, and data validation (docs/3. Data Loading.md).
    • Monitor for unusual activity (Prometheus, Alertmanager).
  3. DevOps Support

Phase 4: Data Operations

  1. Spark Deployment
    • Deploy Apache Spark cluster for distributed data processing (src/services/spark/README.md).
    • Integrate with backend for dynamic SparkSQL generation.
    • Store Spark job history/logs on shared storage (docs/volumes.md).
  2. Observability
    • Deploy OpenTelemetry Collector, Prometheus, Grafana, Loki, and Alertmanager (src/services/monitoring/README.md).
    • Expose /metrics endpoints for all services.
    • Set up dashboards and alerts for Spark, DB, and Keycloak.
  3. Pipeline Support
    • Support teams in building scalable, plugin-based data pipelines.
    • Document best practices for filter/aggregation plugins.

Overall DevOps Responsibilities

  1. Docker Swarm Infrastructure
    • Maintain 3 manager + 2 worker node cluster (src/README.md).
    • Ensure high availability, service placement, and overlay networking.
  2. CI/CD Pipeline Maintenance
    • Automate build, test, and deployment.
    • Enforce quality gates (security scans, automated tests).
    • Manage deployment promotion across environments.
  3. Observability Stack
    • Maintain OpenTelemetry, Prometheus, Grafana, Loki, and Jaeger.
    • Configure alerts, notifications, and support instrumentation.
  4. Security Implementation
    • Enforce HTTPS/SSL for all communications.
    • Support RBAC via Keycloak.
    • Harden SSH (bastion host), firewall, and database configs (docs/ssh-bastion.md).
    • Validate and sanitize all uploaded data.
  5. Network & Storage

References


📸 Service Screenshots

🗄️ Database

Screenshot Description
PgAdmin Main PgAdmin Dashboard
PgAdmin Details Database Details & Management

View Database


🛡️ Keycloak

Screenshot Description
Keycloak Login Keycloak Login Page
Keycloak Admin Keycloak Admin Console

View Keycloak


📊 Grafana

Screenshot Description
Grafana Dashboard Main Grafana Dashboard
Grafana Metrics Metrics Visualization
Grafana Alerts Alerting Overview
Grafana Explore Explore Data
Grafana Settings Settings & Configuration

View Grafana


🧪 Spark

Screenshot Description
Spark Jobs Spark Master
Spark Metrics Spark Worker
Spark Metrics Spark History

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