Developing applications is an expensive and time-consuming process. Therefore, to create a complete developer experience and help users manage their applications effortlessly, AWS or Amazon Web Services has collaborated with Docker. Containers can be managed and deployed instantaneously using the Docker tools on various AWS services.
Developers can package and run the applications in loosely isolated environments called “Containers” using Docker. They can deliver their software faster using this system. Docker also allows users to develop, ship, and run applications separately from their infrastructure. There are many methodologies available in Docker that help test the code, thus reducing the time writing and running codes.
AWS Containers
Docker provides simple commands to help build, start and run the containers. It can be run and managed at scale using the various available services.
The services include :
- ECS or Elastic Container Service
- EB or Elastic Beanstalk
The degree of control regarding scheduling, capacity, and scaling of applications mark the distinction between these services. Now let’s discuss the benefits of using Elastic Container Service or ECS with AWS or Amazon Web Services Fargate.
Using Elastic Container Service or ECS With AWS
We are allowed to run AWS Docker containers without any EC2 instances, which is possible for AWS Fargate.
Without provisioning, clustering, or managing the cluster of virtual machines, the containers can be run by us as it acts as a sole compute engine for workloads.
Let us now look at the process of running Docker containers.
Running AWS Docker Containers
Running Docker containers includes:
- Building the container images.
- Defining the computer resources and the memory required.
- Running and managing applications.
By removing the need to run and manage the compute infrastructure, AWS Fargate allows it to focus on the application entirely.
Now let’s discuss how to use AWS EB or Elastic Beanstalk with the single container Docker.
Using AWS EB or Elastic Beanstalk With Single Container Docker
Elastic Beanstalk helps in deploying, managing, and scaling web services and applications. It also helps in many other processes like deploying, load balancing, patching, and scaling.
Docker containers in the Elastic Beanstalk can run in three specific ways, namely:
- Using the Dockerrun.aws.json file.
- Creating a docker file and then uploading it to Elastic Beanstalk.
- Creating a zip file with docker file and uploading it to Elastic Beanstalk.
There is another feature where the applications can be started or stopped by us as a unit, through the console of Elastic Beanstalk.
Now let us discuss some important facts about using this docker.
Use of Docker
Docker technology provides multiple benefits to developers such as a robust ecosystem of tools and off-the-shelf applications that are ready to use with Docker to name a few. Other benefits include:
-
Faster Shipping
The software can be shipped seven times faster than the users who do not use Docker. Our containers can be run in different environments using Docker.
-
Save Money
One of the best ways to run workloads in AWS is Amazon ECS with Spot Instances. We can utilize the unused compute capacity in AWS using spot instances and run containerized workloads at a fraction of the cost. Docker containers also improve server utilization thus helping in cost saving.
-
Standardize Operations
By using Docker, issues can be identified, rolled back and remediated effectively and the applications can be developed without having any errors in the code.
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Conclusion
Applications can be quickly deployed and scaled into any environment using Docker. If the developers run Docker on AWS, then they and the admins are provided a highly reliable and low-cost way to build, ship, and run distributed applications at any time. This docker lets us build, test, and deploy our applications quickly. So using Docker with AWS is very efficient.
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