- Lab
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- Cloud
Provision Resources Under Constraints in Google Cloud
In this lab, you'll deploy a three-instance Compute Engine backend for a cost-constrained startup, then run into a real regional vCPU quota limit that rejects your initial sizing choice. To finish the deployment you'll need to identify why the configuration failed, rule out policy-forbidden instance families, and land on a machine type that satisfies the workload requirement, the quota, and a hard $150/month budget cap.
Lab Info
Table of Contents
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Challenge
Analyze the Constraint Collision and Select a Compliant Alternative
Provision a Compute Engine deployment, diagnose a real vCPU quota failure, and rework the machine type until it satisfies the requirement, the quota, and the budget.
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Challenge
Review the Design Brief and Check the Project's vCPU Quota
Review the design brief and the project’s vCPU quota, then settle on an initial Compute Engine service and machine type for the three-instance backend, with the quota and the $150/month budget recorded as the boundaries to design against.
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Challenge
Attempt to Provision the Initial Configuration
Create an instance template with the e2-standard-4 machine type and attempt to deploy a three-instance managed instance group, as the design brief specifies.
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Challenge
Redeploy with a compliant machine type and verify all three constraints are met
With the analysis complete and the correct machine type identified, tear down the failed group, provision a fresh deployment using e2-standard-2, and confirm all three constraints are cleared before the deployment goes live.
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