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  • Compute | Google

    Google Compute Engine – Remove Unattached Disks

    Identify and remove unattached Google Compute Engine persistent disks to eliminate unnecessary cloud storage costs and optimize cloud resource management. Why Unattached Disks Matter Unattached disks are persistent storage volumes in Google Cloud that exist without being connected to any active compute instance. These orphaned disks typically accumulate through: When instances are deleted, Google Cloud…

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  • Compute | Google

    Google Compute Engine – Consider a Preferred Instance Type

    Optimize Google Compute Engine (GCE) machine types to align with organizational performance and cost efficiency requirements. Why Optimizing Instance Types Matters Organizations often overprovision compute resources, leading to unnecessary cloud spending. Selecting the right Google Compute Engine instance type is critical for: Detailed Explanation Cost Reduction Mechanics Choosing appropriate Google Compute Engine machine types directly…

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  • Compute | Google

    Google Compute Engine – Snapshot Retention Policy

    Google Cloud snapshots can quickly accumulate storage costs if left unmanaged. Implementing a strategic retention policy helps control expenses and maintain efficient data management. Why Snapshot Retention Matters Cost Impact Financial Implications Implementation Guide Infrastructure-as-Code Example (Terraform) Step-by-Step Retention Policy Creation Best Practices Potential Cost Savings Scenarios Example Scenario 1: Development Environment Example Scenario 2:…

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  • Compute | Google

    Google Compute Engine – Consider Using Current Generation Machine Types

    When deploying Google Compute Engine virtual machines, choosing the right machine type can significantly impact your cloud infrastructure’s performance and cost-efficiency. First-generation N1 machine types are outdated, and Google recommends transitioning to more advanced second-generation options. Why This Policy Matters Performance and Cost Benefits Google’s second-generation machine types provide substantial advantages: Potential Cost Savings Consider…

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  • Compute | Google

    Google Compute Engine – Consider Predefined Machine Types

    Predefined machine types in Google Compute Engine offer significant cost savings compared to custom machine types, providing optimized performance and pricing for most workloads. Why This Policy Matters In the world of cloud cost optimization, selecting the right machine type is crucial for controlling expenses. Custom machine types typically cost 5% more than equivalent predefined…

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