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Examples of Best Practices In Action

Best Practices For Efficient Image Building

Conclusion

A multi-stage build that uses a lightweight base image: to build a production-ready image. To utilize multi-stage builds, we can use numerous FROM statements in our Dockerfile. Each FROM command can start a new stage of the build and therefore will use a different base. This also helps to handle multiple environments like dev, QA, UAT, and PROD. An example of the same could be this:

FROM golang:alpine AS dev
COPY --from=dev /binary/bin

FROM golang:alpine AS uat
COPY --from=uat /binary/bin

FROM golang:alpine AS prod
COPY --from=prod /binary/bin
RUN go test

A lightweight base image that is optimized for production use: Using a lightweight base image can help reduce the size of the image and container to a lot of extents (even 90% sometimes). This could be achieved by using specific images and not the original ones like using an alpine-based image instead of the original.

Using this:
FROM golang:alpine
Instead of this:
FROM golang

A caching strategy: that uses a Dockerfile to cache dependencies and speed up the build process. To understand the importance of caching, we can look at it this way – all the Dockerfile commands create a new layer in the image. Suppose we change something in any command, that in turn affects that layer and it needs to rebuild. And whichever layer rebuilds, all the layers below it also need to rebuild whether or not something changed for them. To optimize this, we use a caching strategy.

1. Using smaller layers that do not include any unnecessary files and trying to combine the RUN command in whatever ways possible.

Instead of this:
RUN microdnf install wget
RUN wget -c project-with-dependencies.jar
Use this:
RUN microdnf install wget && wget -c project-with-dependencies.jar

2. Ordering the layers properly so as to not include anything later which is not affected by the initial commands.

3. Using multistage builds like those mentioned above also helps here.

How To Use Dockerfile Best Practices for Efficient Image Building?

Docker is an open-source platform that enables developers to build, distribute, operate, update, and manage containers.

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A Dockerfile is just a text file that contains all the commands that must be executed to create a Docker image. The Docker images can then be uploaded to places like DockerHub for either public usage or private usage. It is used to automate the process of creating a Docker image from a source code or pre-compiled binary. Dockerfile is similar to the Makefile which is used in C that contains all the commands which need to run to run the application....

Best Practices For Efficient Image Building

Some of the best practices for creating a Dockerfile which optimizes image building and increases efficiency are as follows:...

Examples of Best Practices In Action

A multi-stage build that uses a lightweight base image: to build a production-ready image. To utilize multi-stage builds, we can use numerous FROM statements in our Dockerfile. Each FROM command can start a new stage of the build and therefore will use a different base. This also helps to handle multiple environments like dev, QA, UAT, and PROD. An example of the same could be this:...

Conclusion

In conclusion, we have seen what a Dockerfile is, how we use it, and what advantages we get by using it. We then saw some of the best practices that should be followed while using the Dockerfile to have efficient image building....

Tags:
#docker #DevOps

Best Practices For Efficient Image Building

Conclusion