⚡
Database & Messaging

Redis

In-memory data store for caching and sessions

🐧 Linux🍎 Mac🪟 Windows📋 Quick reference →
Reviewed: Tested on: Kubernetes 1.29 · Terraform 1.8 · Ubuntu 22.04

What is this?

Redis stores data in memory for extremely fast reads — ideal for caching and session storage.

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Config files for Redis

Where to create or edit the main configuration — paths below match the setup steps.

  • /etc/redis/redis.conf

    Location: Redis server

    Bind, persistence, memory, auth

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Step 01

Install Redis

(01)Install

Linux
1sudo apt-get install -y redis-server
2sudo systemctl enable redis-server
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Step 02

Configure Redis

(01)Basic config

Linux
1sudo nano /etc/redis/redis.conf
2# bind 127.0.0.1
3# requirepass yourpassword
4sudo systemctl restart redis-server
5redis-cli ping  # PONG
✅

Step 03

Verify

(01)Test

Linux
1redis-cli set test hello
2redis-cli get test
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Step 04

Manage

(01)Info

Linux
1redis-cli info memory
2redis-cli monitor

📋Config templates

3 YAML templates for Redis. Copy and deploy after setup.

3 ready-to-copy templates. Expand one, copy the YAML, then run the deploy commands.

docker-compose.yaml

PostgreSQL database + Flask app with env file and volume persistence

yaml
1version: "3.9"
2 
3services:
4  db:
5    image: postgres:15-alpine
6    environment:
7      POSTGRES_DB: dukaan_db
8      POSTGRES_USER: dukaan
9      POSTGRES_PASSWORD: dukaan123
10    ports:
11      - "5432:5432"
12    volumes:
13      - pgdata:/var/lib/postgresql/data
14 
15  app:
16    build: .
17    ports:
18      - "5000:5000"
19    env_file:
20      - .env
21    depends_on:
22      - db
23 
24volumes:
25  pgdata:

Dockerfile

Flask application container image

dockerfile
1FROM python:3.12-slim
2WORKDIR /app
3COPY requirements.txt .
4RUN pip install --no-cache-dir -r requirements.txt
5COPY . .
6EXPOSE 5000
7CMD ["python", "app.py"]
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Step 01

Run with Docker Compose

(01)Build and start services

Linux
1cd your-project/
2docker compose up -d --build
3docker compose ps
4docker compose logs -f app

(02)Stop and clean up

Linux
1docker compose down
2docker compose down -v  # remove volumes