Comprehensive and Detailed 150 to 200 words of Explanation From Google Cloud DevOps guides documents:

According to Google Cloud's documentation on Cloud Workstations, this service is specifically designed to provide managed, secure, and highly customizable development environments. By selecting a private cluster, you ensure that the workstations are not assigned public IP addresses, keeping them entirely off the public internet and satisfying the security requirement. This managed approach is superior to manual Compute Engine setups because it uses container-based configurations to provide identical IDEs and toolsets to every developer, which eliminates environment drift and boosts productivity.

Regarding cost-effectiveness, the runningTimeout parameter is a vital mechanism. While idleTimeout is excellent for short-term inactivity, runningTimeout provides a definitive "hard stop" to ensure that workstations do not run indefinitely if a developer forgets to shut down their session at the end of a shift, thereby preventing runaway costs. This aligns with Google’s SRE and DevOps best practices for cost optimization and resource management. Choosing Cloud Workstations over manual VM management (Options C and D) reduces the operational overhead of patching and maintaining individual machine images, allowing the team to focus on delivery rather than infrastructure maintenance.