How to Containerize a Redis Flask Application using Docker Compose

• CPython

  1,319 59,856 10.0 Python

  The Python programming language

  

Python installed.

• docker

  154 518 0.0 Go

  Docker - the open-source application container engine (by microsoft)

  

Before you get started, you must understand Docker. You also need the following set up in your working machine:

• InfluxDB

  www.influxdata.com featured

  Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

  

• Redis

  320 64,962 9.7 C

  Redis is an in-memory database that persists on disk. The data model is key-value, but many different kind of values are supported: Strings, Lists, Sets, Sorted Sets, Hashes, Streams, HyperLogLogs, Bitmaps.

  

Flask is an open-source Python micro framework for building web applications. It is implemented on implemented on Werkzeug and Jinja2. Redis is a vibrant open source in-memory data store platform. Developers use Redis as a message broker, database, streaming engine and for application caching.

• Docker Compose

  390 32,471 9.6 Go

  Define and run multi-container applications with Docker

  

In this tutorial, We will build a sample Python Flask application and implement Redis for caching. We will then containerize the Redis Flask application using Docker Compose. Docker Compose is a powerful Docker tool for creating and running multi-container Docker applications. Our application will have two containers. The first container will host the Flask application. The other container will be for Redis caching. Docker Compose will run the two containers as a single application. Lets get started

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