Which step should you take to streamline the release process using Jenkins for deploying to GCP?

Implementing Jenkins on Compute Engine virtual machines is a strategic choice for streamlining the release process when deploying to Google Cloud Platform (GCP). This approach leverages the scalability and flexibility of Compute Engine, allowing Jenkins to orchestrate builds and deployments effectively.

Using Compute Engine, you can set up dedicated virtual machines with sufficient resources tailored to your CI/CD pipeline's needs. Additionally, this environment can be optimized for performance and easily integrated with other GCP services such as Google Container Registry, App Engine, and various database solutions.

The flexibility of Compute Engine permits customization of the Jenkins environment, including installing necessary plugins, adjusting scaling based on workload, and ensuring high availability through managed instance groups. By using Compute Engine, you can also regulate the security and networking settings to align with your organization’s compliance requirements.

In contrast, other options present limitations. Running Jenkins on local workstations can hinder collaboration and make it challenging to scale. On-premises Kubernetes introduces complexity in managing infrastructure that could detract from focusing on the deployment process. Deploying Jenkins on Google Cloud Functions isn't a viable option since Cloud Functions is designed for short-lived serverless tasks rather than continuous integration and build automation processes typical of Jenkins.

Therefore, choosing to implement Jenkins on Compute Engine virtual