Large Docker images lengthen the time it takes to build and share images between clusters and cloud providers. When creating applications, it’s therefore worth optimizing Docker Images and Dockerfiles to help teams share smaller images, improve performance, and debug problems.
Docker, an enterprise container platform is developers’ favourite due to its flexibility and ease-of-use. It makes it generally easy to create, deploy, and run applications inside of containers. With containers, you can gather applications and their core necessities and dependencies into a single package and turn it into a Docker image and replicate. Docker images are built from Dockerfiles, where you define what the image should look like, as well as the operating system and commands.
However, large Docker images lengthen the time it takes to build and share images between clusters and cloud providers. When creating applications, it’s therefore worth optimizing Docker Images and Dockerfiles to help teams share smaller images, improve performance, and debug problems. A lot of verified images available on Docker Hub are already optimized, so it is always a good idea to use ready-made images wherever possible. If you still need to create an image of your own, you should consider several ways of optimization it for production.
As a part of a larger project, we were asked to propose ways to optimize Docker images for improving performance. There are several strategies to decrease the size of Docker images to optimize for production. In this research project we tried to explore different possibilities that would yield the best boost of performance with less effort.
By optimization of Docker images, we mean two general strategies:
Therefore, we proceeded along these two directions, trying to improve the overall performance. But first we need some tools to measure how effective is our process and to find bottlenecks.
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Admins should patch their Citrix ADC and Gateway installs immediately.
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