- Lab
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Libraries: If you want this lab, consider one of these libraries.
- Cloud
- Security
Optimizing Cost and Storage Lifecycle in Google Cloud
This lab introduces a non-production Google Cloud environment that contains intentional cost inefficiencies. You will analyze the existing architecture, identify over-provisioned and misconfigured resources, and apply practical, real-world optimizations using native GCP services to improve cost efficiency while maintaining functionality.
Lab Info
Table of Contents
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Challenge
Implement Cloud Storage Lifecycle Policies to Move Data to Lower Cost Storage Classes
- Review the suboptimal architecture and identify a storage bucket without lifecycle policies that is driving unnecessary storage costs.
- Configure lifecycle policies to automatically move older objects to NEARLINE, COLDLINE, and ARCHIVE storage classes.
- Reduce storage costs by transitioning infrequently accessed data to lower-cost storage tiers while maintaining accessibility when needed.
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Challenge
Identify and Rightsize Over Provisioned Compute Resources Using Utilization Metrics
- Assess VM configuration details such as machine type, CPU allocation, and memory.
- Review utilization metrics to determine whether the instance is appropriately sized.
- Identify cost inefficiencies caused by over-provisioned resources.
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Challenge
Replace High Cost Services with Lower Cost Alternatives for Non-production Workloads
- Evaluate existing service configurations to determine alignment with non-production workload requirements.
- Identify and select cost-efficient alternatives that maintain functional and operational integrity.
- Apply architectural judgment to optimize resource allocation without compromising reliability or performance.
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