Deploy Docker Image – Throughout this blog, I will explain how to automate Docker deployment in AWS ECS using a Use Case.
In a given use case, we have used a microservices architecture and previous deployments were done manually. It used to take 15-20 minutes per service per installation. After exploring different Docker Orchestration tools, we were able to reduce deployment time by 90% with no downtime using AWS ECS. In the beginning, the hardest part was designing the Docker build and deployment pipeline. In our case, we use AWS ECS. Therefore, the deployment script is specific to AWS ECS, but the deployment logic is the same for all orchestration tools.
Deploy Docker Image
After going through the official Docker documentation, we were able to crack our entire Docker build, test and deployment process. Please find the diagram below that shows the complete build, test and deployment process:
How To Deploy Docker Containers
As you can see in the diagram above, we have a bamboo agent that periodically checks the Git repository for changes, and if a change is detected, bamboo will run the build schedule. In the construction plan, we create artifacts, e.g. jar or war, and using the Docker plugin we build a Docker image with a build number as a tag. Post that we run a newly created Docker image with a stub jar (a stub jar is a single jar file that contains all the dependencies and test cases for the application) to do sanity testing. If the newly created Docker image passes the sanity test, we submit the image to the private Docker registry otherwise the build process fails and sends a notification to the DevOps team. This process is completely seamless.
We have prepared custom base Docker images for Spring Boot, Tomcat and Node. We use these base Docker images in the Bamboo build schedule as it helps us reduce build time if we need to add/change/remove configurations. This can be done by using base images, rather than updating all the images. I’m not a big fan of sed commands in launch scripts, so we use the ep command in our launch scripts to create configuration files using environment variables in the Docker containers. EP is a small tool written in Ruby that replaces environment variables in the file. For more information click here. You can just add the line in question to your Dockerfile and start using it instead of the sed command:
ADD startup-env-v2.sh /startup-env-v2.sh # A startup script that replaces variables in configuration files and creates a startup command using environment variables
Next we have the deployment process, so the Docker image we build can be used in any environment ie. QA, staging, production by setting the environment variables in the Docker run command. We use AWS ECS as our orchestration tool to manage Docker Containers, so we can now perform deployments using the AWS CLI. You can do a manual deployment in ECS by creating a new project definition, updating the Docker image and updating the service with the latest project definition and deployment will happen based on the minimum and maximum percentages defined in the deployments. I wrote a small script that uses AWS CLI and jq to extract the current project definition to JSON, update the project definition with the latest Docker image and update service with the latest project definition and the script can be found below:
Best Of 2020: How Docker And Kubernetes Work Together
Briefly, Task Definition defines container parameters like docker image, container port, host port, memory, environment variables and some more parameters. The service allows you to run a specified number of port containers (preferred) with a running job definition, and ELB is used for service discovery and health checking. Initially we used to create project definition, ELB and services manually. But now we have written scripts that create an ELB , project and service definition based on input parameters specified (port image path, host port, container port, ELB name and environment).
The deployment options available in AWS ECS work on a “stop one, start one” pattern, it will start new tasks and once it passes the ELB health check, it will stop the old task. This feature ensures zero downtime during deployment and when it stops the task, it unregisters the container instance from ELB and performs a connection flush. The only downside to installing AWS ECS is that it doesn’t notify if a new installation fails.
Using all the above features and the deployment script, we are now able to perform deployments at production time with no downtime and have been able to reduce setup time from 15-20 minutes to 2-3 minutes. Architecture Cloud Operations & Transport for Games Marketplace News Collaboration Smart Business Big Data Business Productivity Cloud Enterprise Strategy Cloud Financial Management Contact Center Containers Database Desktop & Application Streaming Development Tools DevOps Front-End Web & Mobile HPC
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Direct Docker Image Deploy
There are many reasons why containers have become popular since Docker democratized access to the Linux kernel elements that make “
Possible One reason is that containers are not tied to a specific infrastructure or stack, so developers can easily move them around (typically from laptops, through the data center, and all the way to the cloud). While we spend most of our time these days talking about container orchestrations, don’t forget that the actual core performance of containers is ensured by their packaging and standard runtime requirements and not just by the YAML choreography around them (although it is true that this YAML choreography creates a certain operating burden and gravity).
According to Docker, “[Compose] is now used by millions of developers and has over 650,000 Compose files on GitHub.” There is a good reason for that; Docker Compose is an elegant but very simple way to describe your container application stack. This format has been and will continue to be used by thousands of developers to run applications that require multiple Docker containers and services to communicate. Often these developers are also looking for a convenient way to run their code.
It was with this spirit in mind that Docker, earlier this year, began collaborating on the open source Docker Compose specification to create a way for developers using the Docker Compose format to deploy their applications to Amazon ECS and Fargate. In July, Docker released a beta version for Docker Desktop that built in these features, and on September 15, Docker released an updated experience on its Docker Desktop stable channel.
Deploy Your Nodejs App To A Server With Docker
With all that background out of the way, let’s get our hands dirty. The rest of this blog is structured around two main themes:
In addition to these topics, the third and final part includes some thoughts and practical tips related to this integration.
Four years ago, I created a simple (yet representative of real life) program that I could use as a base for learning new techniques. Instead of focusing on technology in the abstract and testing the training it led to, I wanted to focus on “my application” and try to use the technology in my defined and current context. After all, this is what real customers do. Their goal is not to run the example successfully, but rather to apply the technology they are evaluating to their own application stack. I simply wanted to emulate the client’s technical adoption pattern.
Enter Yelb. Yelb is a traditional web application with four parts: a user interface, an application server, a cache, and a database.
How To Deploy A Deno App Using Docker
As I started learning different container-based solutions over the years, I used them on Yelb. Today, you can deploy a containerized version of Yelb using Docker Compose, Kubernetes, and ECS. This required me to write the entire YAML choreography for each orchestrator (in the order I’ve mentioned) while using the same container images.
“What if I didn’t want to, or couldn’t, spend the time rewriting the original Docker Compose YAML file into an embedded ECS YAML file? Would this Docker Compose/ECS integration work for Yelb?”
Interestingly, my test worked out of the box with the Docker Compose file I wrote over 4 years ago.
Let me show you what the developer experience looks like. Later we’ll get into the mechanics of how this works behind the scenes. For now, all you need is Docker Desktop and an account. For this test I am using Docker Desktop (stable) version 2.5.0.1.
Deploy Sap Hana Based Applications On Docker Swarm Cluster
The first thing you need to do is clone the Yelb repository and go to the distribution directory that contains the Compose YAML file in the repository (
Create the YAML file in the repository. By default, this will display the Yelb application on your workstation:
. If you come from a Docker background, you’ve probably used this workflow thousands of times over the years. Nothing new here.
As we often say, a picture is worth a thousand
Create The Docker Image With Vue3 For The Google Cloud Run
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