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All inefficiencies

Each entry explains the waste, the billing model behind it, how to detect it and how to fix it.

66 inefficiencies

  • Microsoft FabricCER-0337

    Oversized Microsoft Fabric Capacity During Low-Utilization Periods

    Microsoft Fabric capacity is billed based on the provisioned SKU tier (F2, F4, F8, F16, F64, etc.) on an hourly basis, regardless of whether workloads are actively consuming those resources. Each SKU tier provides a fixed pool of Capacity...

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  • Azure Container RegistryCER-0329

    Overprovisioned or Idle Azure Container Registry Tier

    Azure Container Registry charges a fixed daily fee based on the selected tier - Basic, Standard, or Premium - regardless of whether the registry is actively used. This means a registry with zero image pulls, zero pushes, and no active...

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  • Azure Logic AppsCER-0309

    Idle or Untriggered Azure Logic Apps Generating Continuous Charges

    Azure Logic Apps can quietly accumulate costs even when no workflows are actively executing, but the mechanism differs significantly depending on the deployment model. In the Consumption (multitenant) plan, Logic Apps with polling triggers...

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  • Azure DevOpsCER-0294

    Inactive Licensed Users in Azure DevOps Organization

    Licensed Azure DevOps users remain assigned after individuals leave the organization or stop using the platform. These inactive users continue to generate recurring per-user charges despite providing no ongoing value, leading to...

    Other

  • GCP Cloud LoggingCER-0262

    Suboptimal Storage for Logs

    Many organizations retain all logs in Cloud Logging's standard storage, even when the data is rarely queried or required only for audit or compliance. Log bucket cost comes mainly from the per-GiB storage charge applied when logs are...

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  • GCP Cloud LoggingCER-0253

    Resources Generating Excessive INFO Logs

    Some GCP services and workloads generate INFO-level logs at very high frequencies - for example, load balancers logging every HTTP request or GKE nodes logging system health messages. While valuable for debugging, these logs can flood...

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  • GCP Cloud LoggingCER-0245

    Logging Buckets in Non-Production Environments Storing Info Logs

    Non-production environments frequently generate INFO-level logs that capture expected system behavior or routine API calls. While useful for troubleshooting in development, they rarely need to be retained. Allowing all INFO logs to be...

    Other

  • GCP Cloud LoggingCER-0241

    Duplicate Storage of Logs in Cloud Logging

    Duplicate log storage occurs when multiple sinks capture the same log data - for example, organization-wide sinks exporting all logs to Cloud Storage and project-level sinks doing the same. This redundancy results in paying twice (or more)...

    Other

  • AWS ConfigCER-0228

    Excessive AWS Config Costs from Spot Instances

    Spot Instances are designed to be short-lived, with frequent interruptions and replacements. When AWS Config continuously records every lifecycle change for these instances, it produces a large number of CIRs. This drives costs...

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  • AWS ConfigCER-0201

    Continuous AWS Config Recording in Non-Production Environments

    By default, AWS Config is enabled in continuous recording mode. While this may be justified for production workloads where detailed auditability is critical, it is rarely necessary in non-production environments. Frequent changes in...

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