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The Role of Docker in DevOps – Visualpath
Docker is a platform that turns
out to be a perfect fit for the DevOps ecosystem. It is developed for software
companies that are struggling to pace up with the changing technology,
business, and customer requirements. The benefits
Docker offers to the DevOps environment has made it an irreplaceable
tool in the toolchain.
The reason for Docker being so
good for DevOps is its
benefits and use cases of containerizing the applications that support development and quick release. DevOps is primarily used to overcome 'Dev' and
'Ops' problems, and Docker seems to solve most of them, with the main one being
that it can work on any machine. Thus, it allows all the teams to collaborate
and work effectively and efficiently.
Best practices
for creating Docker images
- Begin with an appropriate base image
- Use multi-stage builds. If you want to use a Docker version
that does not include multi-stage builds, try reducing the number of
layers in your image.
- If you have multiple images that have a lot in common, you can
create your own base image with shared components and then base your
unique images on them.
- Use production image as the base image to keep production
image lean but enable it for debugging
- When you build images, consider tagging them with useful tags
that codify intended destination, version information, and stability.
How Docker improves the DevOps
approach?
One of the biggest benefits of
using Docker with DevOps is that
developers, testers, and system admins all use it. For instance, developers can
use Docker files to create Docker images on local computers and run them. The
system administrators can use the same Docker images to make updates and stage
the production environments.
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