So it all boils down to how efficiently we can manage these resources inside the container image.
If we take a container image of a typical application, it contains a base image, Dependencies/Files/Configs, and cruft (unwanted software). Not just for production environments, at every stage in the CI/CD process, you should optimize your docker images.Īlso, with container orchestration tools like Kubernetes, it is best to have small-sized images to reduce the image transfer and deploy time. Therefore, DevOps engineers must optimize the docker images to ensure that the docker image is not getting bloated after application builds or future releases. I have seen cases where the initial application image started with 350MB, and over time it grew to more than 1.5 GB.Īlso, by installing unwanted libraries, we increase the chance of a potential security risk by increasing the attack surface.
#Boardxxxporn imagesize code
This introduces a challenge in Docker image build, as now – the same code requires more time & resources to be built before it can be shipped as a container.
#Boardxxxporn imagesize software
In typical software development, each service will have multiple versions/releases, and each version requires more dependencies, commands, and configs. Need for Docker Image OptimizationĮven though the Docker build process is easy, many organizations make the mistake of building bloated Docker images without optimizing the container images. First, we add all the build instructions, such as the code dependencies, commands, and base image details, in Dockerfile. The whole concept of “run anywhere” images starts from a simple configuration file called Dockerfile.
It enables engineers to collect all the code dependencies and files into a single location which can be run anywhere, quite quickly & easily. We will also look at some of the best tools for Docker Image Optimization.ĭocker as a container engine makes it easy to take a piece of code & run it inside a container. This blog talks about different optimization techniques that you can quickly implement to make the smallest and minimal docker image. If you want to reduce docker image size, you need to use the standard best practices in building a Docker Image.
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