Daily Learning Plan: PostgreSQL Using Docker

Daily Learning Plan: PostgreSQL Using Docker


This daily learning plan is designed to provide a comprehensive understanding of PostgreSQL using Docker, from basic concepts to an expert level. Each day covers theoretical material, practical examples, and visualizations in one-hour sessions.

Week 1: Introduction to PostgreSQL and Docker

Day 1: Introduction to PostgreSQL and Docker

  • Theory: Overview of PostgreSQL and Docker.

  • Practical Example: Download and install Docker.

  • Visual: Docker architecture diagram.

Docker Architecture

Day 2: Installing Docker

  • Theory: Steps to install Docker on various operating systems.

  • Practical Example: Install Docker on Windows, macOS, and Linux.

  • Visual: Screenshots of installation steps.

Day 3: Pulling the PostgreSQL Image from Docker Hub

  • Theory: Introduction to Docker Hub and its usage.

  • Practical Example: Pull the PostgreSQL image using the docker pull command.

  • Visual: The docker pull postgres command.

docker pull postgres

Week 2: PostgreSQL Basics with Docker

Day 4: Running the PostgreSQL Container

  • Theory: Basic commands to run a container.

  • Practical Example: Run PostgreSQL with the docker run command.

  • Visual: Output of the docker ps command.

docker ps

Day 5: Accessing PostgreSQL from the Container

  • Theory: Using docker exec to enter a container.

  • Practical Example: Command docker exec -it some-postgres psql -U postgres.

  • Visual: Output of the psql command.

Day 6: Managing Databases in PostgreSQL

  • Theory: Basic SQL commands to create and manage databases.

  • Practical Example: SQL commands to create databases and tables.

  • Visual: Structure of tables in PostgreSQL.

Day 7: Using Volumes for Data Storage

  • Theory: Concept of volumes in Docker.

  • Practical Example: Run PostgreSQL with a volume.

  • Visual: Docker volume diagram.

Docker Volume

Week 3-4: Advanced Configuration and Management

Day 8: Connecting Applications to PostgreSQL

  • Theory: Configuring applications to connect to PostgreSQL.

  • Practical Example: Python code to connect to PostgreSQL.

  • Visual: Application-to-PostgreSQL connection diagram.

Day 9: Managing Users and Permissions

  • Theory: Basics of user and permission management in PostgreSQL.

  • Practical Example: SQL commands to add and manage users.

  • Visual: Structure of users and permissions in PostgreSQL.

Day 10: Backup and Restore Databases

  • Theory: Importance of backup and restore.

  • Practical Example: Using pg_dump and pg_restore commands.

  • Visual: Backup and restore process diagram.

Backup and Restore

Day 11: Creating Indexes

  • Theory: Importance of indexes for performance optimization.

  • Practical Example: SQL commands to create indexes.

  • Visual: Example of an indexed table.

Day 12: Query Optimization

  • Theory: Techniques for optimizing queries.

  • Practical Example: Using EXPLAIN to analyze query performance.

  • Visual: Output of the EXPLAIN command.

Day 13-14: Partitioning

  • Theory: Benefits of partitioning large tables.

  • Practical Example: SQL commands for table partitioning.

  • Visual: Diagram of a partitioned table.

Week 5-6: Developing and Deploying Applications with PostgreSQL

Day 15: CI/CD Integration with Docker and PostgreSQL

  • Theory: CI/CD concepts in software development.

  • Practical Example: Setting up a CI/CD pipeline for applications with PostgreSQL.

  • Visual: CI/CD pipeline diagram.

Day 16-17: Developing Applications with Microservices

  • Theory: Microservices architecture and PostgreSQL's role.

  • Practical Example: Building microservices with Docker and PostgreSQL.

  • Visual: Microservices architecture diagram.

Day 18: Setting Up Master-Slave Replication

  • Theory: Techniques for scaling and replication in PostgreSQL.

  • Practical Example: Setting up master-slave replication.

  • Visual: Replication diagram.

Week 7: Advanced Security and Management

Day 19: Security in PostgreSQL

  • Theory: Encryption, SSL, and other security measures.

  • Practical Example: Setting up SSL and encryption in PostgreSQL.

  • Visual: SSL configuration diagram.

Day 20: Logging and Monitoring

  • Theory: Techniques for logging and monitoring PostgreSQL.

  • Practical Example: Using tools like pgAdmin, Prometheus, and Grafana.

  • Visual: PostgreSQL monitoring dashboard.

Week 8-9: Case Studies and Final Project

Day 21-22: Case Studies

  • Theory: Analysis of three real-world use cases of PostgreSQL with Docker.

  • Practical Example: Implementing solutions for each case.

  • Visual: Diagrams and results of implementations.

Day 23-24: Designing the Final Project

  • Theory: Design principles for the final project.

  • Practical Example: Planning the final project.

  • Visual: Project design sketches.

Day 25-26: Implementing the Final Project

  • Theory: Best practices for implementation.

  • Practical Example: Developing the final project.

  • Visual: Screenshots of the final project in progress.

Day 27-28: Documenting and Presenting the Final Project

  • Theory: Importance of good documentation.

  • Practical Example: Preparing project documentation and presentation.

  • Visual: Documentation template and presentation slides.


This daily learning plan provides a step-by-step guide from basic to expert level in using PostgreSQL with Docker. Through a combination of theory, practical examples, and visualizations, you will gain a deep understanding and practical skills necessary to manage PostgreSQL in a containerized environment.

For further reference, visit the official PostgreSQL documentation and Docker documentation.