Easy Setup Fresh Local Development Environment with Docker

After several time doing e2e and integration test on local, I found my self need to set a fresh environment or found a broken tools that need to be reconfigured or reinstalled. For some tools, it’s easy to clear, download, install, and run it again. But for some tools, it’s a little bit tricky to do that. So it will takes some times. Caused by laziness to do many action and times, I got an idea, why not running that containerized tools ?
So this is my guidelines to setup some containerized tools using Docker (you can read about it from this page).

Installing docker

• https://www.docker.com/products/docker-desktop
• Download docker desktop from above link, and do next-next-next action till docker installed (in Windows)
• Open command prompt, and type docker version to verify our installed docker

Setup a docker network to communicate our running container

• As default, each container that we run in docker will isolate itself. So it cannot communicate with each other.
• To make our containers can communicate with each other, we need to set it in same network that has been configured.
• To create a network with name application-tier please run → docker network create application-tier --driver bridge
• To show all created network → docker network ls

Show our running container logs

• docker container logs {container-name}
• Example : docker container logs redis

Setup and running Redis

• Create redis container (with empty password) → docker container create --name redis --network application-tier -p 6379:6379 -e ALLOW_EMPTY_PASSWORD=yes bitnami/redis
• Running redis container → docker container start redis
• Run redis cli inside our running redis → docker exec -it redis redis-cli

Setup and running Redis Sentinel

• Create redis sentinel container → docker container create --name redis-sentinel --network application-tier -p 26379:26379 -e REDIS_MASTER_HOST=localhost bitnami/redis-sentinel
• Running redis sentinel container → docker container start redis-sentinel
• Run redis cli inside our running redis sentinel → docker exec -it redis-sentinel redis-cli -p 26379
• Run redis cli inside our running redis sentinel and connect to redis master → docker exec -it redis-sentinel redis-cli -h redis

Setup and running MongoDB

• Create mongoDB container without auth → docker container create --name mongo --network application-tier -p 27017:27017 mongo
• Create mongoDB container with auth → docker container create --name mongo --network application-tier -p 27017:27017 -e MONGO_INITDB_ROOT_USERNAME=mongodb -e MONGO_INITDB_ROOT_PASSWORD=mongodb mongo
• Running mongoDB container → docker container start mongo
• To verify our running mongoDB, we can use mongo client tools, for me i’m using Robo 3T (download link)
• You can connect to our running mongoDB using localhost:27017

Setup and running RabbitMQ

• Create rabbitMQ container without auth → docker container create --name rabbitmq --network application-tier -p 5672:5672 -p 15672:15672 rabbitmq:management-alpine
• Create rabbitMQ container with auth → docker container create --name rabbitmq --network application-tier -p 5672:5672 -p 15672:15672 -e RABBITMQ_DEFAULT_USER=user -e RABBITMQ_DEFAULT_PASS=password rabbitmq:management-alpine
• Running rabbitMQ container → docker container start rabbitmq
• To verify our running rabbitMQ, we can open rabbitMQ management page from localhost:15672

Setup and running Zookeeper

• To run apache kafka we must running zookeeper first
• Create zookeeper container → docker container create --name zookeeper --network application-tier -e ALLOW_ANONYMOUS_LOGIN=yes -p 2181:2181 bitnami/zookeeper
• Running zookeeper container → docker container start zookeeper

Setup and running Apache Kafka

• Running zookeeper first!!!
• Create kafka container → docker container create --name kafka --network application-tier -e ALLOW_PLAINTEXT_LISTENER=yes -e KAFKA_CFG_ZOOKEEPER_CONNECT=zookeeper:2181 -e KAFKA_CFG_ADVERTISED_LISTENERS=PLAINTEXT://localhost:9092 -p 9092:9092 bitnami/kafka
• Running kafka container → docker container start kafka
• To verify our running kafka, we can use kafka tool client (download link)
• To publish a kafka message, we can use our running kafka container → docker exec -it kafka kafka-console-producer.sh --broker-list localhost:9092 --topic {topic-name}
• To consume kafka messages, we can use our running kafka container → docker exec -it kafka kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic {topic-name} --from-beginning

Setup and running Postgres

• Create postgres container → docker container create --name postgres --network application-tier -e POSTGRES_PASSWORD=postgres -p 5432:5432 postgres:alpine
• Running postgres container → docker container start postgres
• To verify our running postgres, we can use postgres client tool, for me i’m using pgadmin

Setup and running PgAdmin

• Postgres client to access postgres
• Create pgAdmin container → docker container create --name pgadmin --network application-tier -p 5050:80 -e PGADMIN_DEFAULT_EMAIL={your awesome-email} -e PGADMIN_DEFAULT_PASSWORD=postgres dpage/pgadmin4
• Running pgAdmin container → docker container start pgadmin
• Open localhost:5050, login with your email and password. Create a new server, postgres host is postgres (not localhost) with port 5432