![]() Git submodule update -init -recursive -remote The lack of reliance on the Gradle build cache meant each build required downloading an application's dependencies from scratch, which was not ideal for local development.Īnother issue was that the team was using the following Makefile target to run our build process, in which we actually compile our application using a local Gradle instance before we execute the Docker build. Figure 1, below, is a representation of the Dockerfile that was causing delays: Figure 1: This Dockerfile has many extra components meant for production that are not needed in local development. By using the production Dockerfile locally, we were not taking advantage of the Gradle cache and we were also downloading dependencies that are not needed in our local environment. Our production Dockerfile is meant to compile the application from scratch as we're not using the Gradle build cache in production. One problem was that the Dockerfile our team was using was the exact replica of the production Dockerfile. However, due to the lack of a uniform build process for local development, we were unable to achieve efficient development. We use Gradle to compile our application then use Docker to run it and its dependencies. Every engineer knows that it's hard to remain focused and productive if any part of the development cycle pauses their thought process. It didn’t matter if we were changing 20 files or just adding one line of code to create a quick log, it would still take roughly five minutes to complete the build. ![]() Whenever any engineer added new code to the codebase, the build integration process would take four to five minutes to finish. Having consistent versions of dependencies is crucial for a fast development cycle as there is little chance of having compatibility issues due to incorrect versions of the dependencies.ĭoorDash faced a similar problem when our team had been dealing with a slow build time in our local environment, which had slowed the development process significantly. Docker-compose lets engineers choose the specific versions of dependencies to be run alongside the application container-as opposed to having each engineer install dependencies manually on their machine. Docker-compose, a tool for defining and running multi-container Docker applications, ensures consistent local development processes, which makes handling application dependencies easier. As technology companies race to release their next features, any delay in productivity can be extremely detrimental, making an efficient development build process essential.Ĭompanies that use Kubernetes and Docker in production environments most likely use Docker for local development.
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