DevOps Classroom Series – 03/Apr/2021

Docker Compose

  • This is a tool for defining an running multi container Docker applications
  • All the modern applications will have the some/all of the following components Preview
  • When all of these components work together we have a successful application
  • Lets understand microservices
  • To bringup our application we need to run multiple containers in a specific order.
  • Docker compose is one approach to bring up multiple container of your application on a single docker host platform.
  • Docker compose is widely used in Developer environments
  • Docker stack is one more approach which helps to run multiple containers of your application on multi nodes.


  • This is an architectural pattern that structures and application as a collection of services that are
    • Highly maintable and testable
    • Loosely coupled
    • Independently deployable
    • Organized around business capabilities
  • Simple microservice architecture Preview
  • Now we can deploy each service in a container/vm Now this gives us the following benifits
    • We can have parallel developments for each service
    • Reusability of services can be done across applications
    • We can scale the individual services when there is load.
  • The best way to run individual services is in containers and to manage the whole application deploymets we use orchestration platforms such as
    • Kubernetes
    • Docker Swarm
    • OpenShift

How to work with Docker compose

  • In Docker compose we create a file called docker-compose.yaml and we specify the containers to be created, their network, their volumes as specified in docker compose specifications Refer Here

  • In with the code repository docker-compose.yaml is commited to make it easier to bring up multiple containers to run an application

  • Docker-Compose is pre-installed when you install docker on mac and windows 10

  • On Linux machines we need to install docker-compose Refer Here Preview

  • To learn about json and yaml Refer Here

  • Hello-world:

    • In this lets try to create a httpd container and nginx container
    • Refer Here for the docker-compose.yaml Preview Preview Preview
  • Building images and running containers

    • Refer Here for the docker-compose.yaml
    • Execute the commands
    docker-compose build
    docker-compose up -d
    docker container ls
    docker image ls


  • Creating a docker-compose file with a network and volume

    • Refer Here for the docker-compose file
    • Execute-commands
    docker-compose build
    docker-compose up -d
    docker container ls
    docker image ls
    docker volume ls
    docker network ls


Run container in Production Environments

  • We generally run Production environment on multiple servers
  • So if we run our application which is microservices in the production environment, We have to deal with
    • Multiple containers
    • Ensure that the containers are running
    • We need to scale the containers depending on demand
    • We need to persist the volumes
  • A distributed systems cluster is a group of machines that are virtually or geographically separted and they work together to provide the same service or applications to clients
  • A distributed system can help
    • There is no single point of failure (SPOF)
    • This design supports scalability
    • The data is shared b/w all machines
    • The design is readable
  • Consensus is the task of getting all the systems ina group agree on some specific values based on votes. Docker swarm uses raft consensus algorithm Refer Here
  • The configuration or state of the system will be stored in the database on all managers. In the case of docker swarm this database is etcd
  • We need to manage networks for multiple nodes and we already know about overlay
  • Docker Swarm supports loadbalancing to interact with services externally as well as internally
  • How can we deploy our application i.e. new microservice version in container with out downtime?
  • Docker has a swarm mode which is running docker containers on multiple nodes with cluster features
    • Manager & Worker nodes
    • Multi node networking
    • Loadbalancing
    • Deployments
    • Scalability
  • To be very frank industry has majorly adopted kubernetes as the orchestration technology for running contaniers in production.
  • To run multiple applications on docker swarm which is
    • Service => Task
    • Docker has developed a docker stacks or you can use docker command line

Running Docker Containers

  • With CPU Limits Preview
  • With memory limits Preview Preview
  • Refer Here for limiting cpu, ram for docker container
  • Docker container allows us to change few configurations while the container is running Preview

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