Reduce Build Time and Cost with Cloud Build - Tips for Efficient Application Building

Minimizing Build Time, Cost, and Development Effort with Cloud Build

Question

You use Cloud Build to build your application.

You want to reduce the build time while minimizing cost and development effort.

What should you do?

Answers

Explanations

Click on the arrows to vote for the correct answer

A. B. C. D.

C.

The most efficient way to reduce build time while minimizing cost and development effort when using Cloud Build is to use Cloud Storage to cache intermediate artifacts. This is option A.

Explanation:

Cloud Build is a service provided by Google Cloud Platform (GCP) that automates the build, test, and deployment process of applications. It uses build configurations to specify the steps necessary to build and test an application. Cloud Build executes these steps on a virtual machine and provides the output artifacts, such as Docker images or compiled code.

To reduce the build time while minimizing cost and development effort, we can use Cloud Storage to cache intermediate artifacts. When we use the same build configuration to build the same application again, we can check if any of the intermediate artifacts already exist in the cache. If they do, we can reuse them, which can significantly reduce the build time.

The benefits of using Cloud Storage to cache intermediate artifacts include:

  1. Reduced build time: When intermediate artifacts are already present in the cache, the build process can skip the steps that produce them, which can save time.

  2. Cost savings: Cloud Storage is a cost-effective way to store intermediate artifacts. It is cheaper than using virtual machines or containers to store intermediate artifacts.

  3. Reduced development effort: Developers do not need to spend time and effort rebuilding intermediate artifacts if they are already present in the cache.

Options B, C, and D are not the most efficient ways to reduce build time while minimizing cost and development effort when using Cloud Build.

Option B suggests running multiple Jenkins agents to parallelize the build. While this can help reduce build time, it increases the cost of the build because more virtual machines are used. It also requires more development effort to configure and manage the multiple agents.

Option C suggests using multiple smaller build steps to minimize execution time. While this can help reduce build time, it increases development effort because developers need to split their build process into smaller steps and manage the dependencies between them.

Option D suggests using larger Cloud Build virtual machines (VMs) by using the machine-type option. While this can help reduce build time, it increases the cost of the build because larger VMs are more expensive to run. It also does not address the issue of intermediate artifacts, which can still be rebuilt even on a larger VM.