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Mission Specialist
Mission Specialist

Optimize container image in Openshift

Hi everyone, how can I optimize a container image in openshift?

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13 Replies

Hi @Markus77 ,

some of the ways you can do that :

1. By using a lightweight base image as the foundation of your conatiner image.

2. Reduce the number of layers in your container image.

3. You can use build cache strategy which will help the build process go faster.

4. You can use a compiled language and can use reduce the memory the app uses.

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Flight Engineer
Flight Engineer

Hi.. @Markus77 , You can do things like:

  1. Using a base image that is as small as possible.
  2. Remove unused files from your image (you can use a tool like "docker image prune" to remove any unused files from your image.)
  3. Implement resource limits.
  4. Optimize image caching:
  5. Use a registry that is optimized for performance.

All this thing you can google it.

I hope this is helpful for you.

Flight Engineer
Flight Engineer

1 Use image like: because the UBI images allow you to share container images with others. Four UBI images are offered: micro, minimal, standard, and init. Pre-build language runtime images and YUM repositories are available to build your applications.

2 Implement resource limits

WORKDIR # /app path
COPY . . # Copy over all files in the current directory
RUN npm install # Install dependencies
RUN npm build # Run build

• ╚╬╦╬Psehgaft╬╦╬╝ ◦
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Mission Specialist
Mission Specialist

1) Reduce number of Layers

2) consolidate mutiple/related RUN /COPY commands together using "&&"

3) Use purposebuilt base image from a trusted registry such as redhat container registry.

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Mission Specialist
Mission Specialist

@Markus77 As all the other users have said before, the best way to reduce a container image size is by reducing the number of layers.
Here is an example of an image with the same source files and with significant less layers:

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Mission Specialist
Mission Specialist

Mission Specialist
Mission Specialist

Make sure to use a base image that is closely aligned with needs of your application. All the previous replies would help you with keeping your image footprint small. 

With Openshift you can refer to a image with its image stream(alias), that way you still refer to the same image in your registry and not be concerned about updates to your image that would cause a problem for your apps. Of course, you would want to pay attention to security and vulnerability that the later updates fix for your base image(s).   

Hope this helps!

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Mission Specialist
Mission Specialist

Good morning, Dear @Markus77

Optimizing a container image in OpenShift is an important task to improve the performance and efficiency of your applications.

Here are some tips on how to do it:
Use a suitable base image: it is important to choose a base image that is suitable for your application. A smaller and lighter base image can improve performance and reduce loading time.
Minimize image layers: The fewer layers the image has, the faster it will load. You can reduce the number of layers by removing unnecessary files and combining commands into a single layer.
Use the layer cache: OpenShift uses a layer cache to speed up image construction. Make sure your images are configured to use the layer cache.
Use image optimization tools: There are several tools available to optimize container images, such as Docker Slim and Kaniko. These tools can reduce image size and improve performance.
Use cached build strategies: If you are building container images from source code, you can use cached build strategies to reduce build time. This involves caching the results of previous builds to avoid having to recompile all the code each time.

I hope you find these tips useful for optimizing your container images in OpenShift - good luck!

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Mission Specialist
Mission Specialist

A container image in OpenShift can be optimized in a number of ways to increase performance, decrease size, and boost overall effectiveness. The following are some strategies you can use:

  1. You can start with a Minimal basis Image: Create a minimal basis image that only contains the elements that your application need. Popular options include Red Hat Universal Base Image (UBI) and Alpine Linux. The size of your final container image can be drastically reduced by using these small base images.
  2. Remove Unnecessary Dependencies: Examine the dependencies of your application and remove any unused libraries or packages. By reducing the attack surface and shrinking the image size, security is enhanced.
  3. Use multi-stage builds to keep the build environment isolated from the runtime environment. This enables you to create your application in a single step and copy only the runtime artifacts that are required. You can produce pictures that are smaller and more effective by removing build-time dependencies.
  4. Pay attention to your Dockerfile's instructions and make sure they are optimized for maximum performance. Use multi-line commands to group together related instructions, for instance, and take advantage of caching to minimize needless rebuilds when the source code hasn't changed.
  5. Utilize Image Layers: Recognize how Docker image layers function and organize your image to maximize layer reuse. To have the least amount of influence on cache and layer reuse, move frequently changing components to the end of the Dockerfile.
  6. Utilize Build Strategies: Source-to-Image (S2I) and buildah are two build strategies offered by OpenShift that offer quicker methods for creating container images. Investigate these possibilities to streamline the creation of images and possibly lower the size of the final product.
  7. Image Compression: To reduce the size of your container image, use programs like gzip or zstd. In order to further reduce picture size, OpenShift additionally offers options for image compression during the build process, such as the oc new-build --compression flag.
  8. Configure a Secure Registry Pull policies in OpenShift to make sure that only essential images are downloaded and saved locally. By doing so, network overhead is decreased and storage space is preserved.
  9. Implement CI/CD pipelines to automate image creation, testing, and deployment. CI/CD stands for continuous integration and continuous deployment. By doing this, it is ensured that throughout the development and deployment lifecycles, optimized pictures are consistently produced.
  10. Monitoring and Analysis: Analyze the resource utilization and performance of your container images on a regular basis. You can find chances for improvement by using tools like the built-in monitoring and logging features of OpenShift as well as third-party tools like Prometheus and Grafana.

These methods can help you optimize your container images in OpenShift, which will boost performance, use fewer resources, and be more effective all around.

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