# Compute cost inefficiencies | Cloud Efficiency Hub Canonical: https://www.pointfive.co/efficiency-hub/service-category/compute 157 documented compute cost inefficiencies across AWS, Azure, GCP and more, each with detection steps and remediation. ## All inefficiencies Each entry explains the waste, the billing model behind it, how to detect it and how to fix it. / 157 inefficiencies - AWS EC2 CER-0327 ### [Spot Instance Overreliance Without Effective Cost-Per-Performance Analysis](https://www.pointfive.co/efficiency-hub/inefficiencies/spot-instance-overreliance-without-cost-per-performance-analysis) Organizations frequently pursue aggressive Spot Instance adoption based on headline discount percentages - up to 90% off On-Demand pricing - without evaluating the effective cost per unit of work completed. While Spot pricing can deliver... Compute - AWS EC2 CER-0324 ### [Excessive On-Demand Compute Spend Due to Low Savings Plan and Reserved Instance Coverage](https://www.pointfive.co/efficiency-hub/inefficiencies/excessive-on-demand-compute-spend-due-to-low-savings-plan-and-reserved-instance-coverage) AWS compute services charge the full published On-Demand rate when no commitment-based discount - such as a Savings Plan (SP) or Reserved Instance (RI) - is in effect. On-Demand pricing provides maximum flexibility, but it is also the most... Compute - Azure Functions CER-0315 ### [Orphaned Azure Function Apps with No Active Functions or Triggers](https://www.pointfive.co/efficiency-hub/inefficiencies/orphaned-azure-function-apps-with-no-active-functions-or-triggers) Azure Function apps can persist long after the applications or workflows they supported have been retired - particularly in development, testing, and experimentation environments where cleanup is often overlooked. Even when no functions... Compute - Azure Virtual Machine Scale Sets CER-0314 ### [Fixed Instance Count on Virtual Machine Scale Set Without Autoscaling](https://www.pointfive.co/efficiency-hub/inefficiencies/fixed-instance-count-on-virtual-machine-scale-set-without-autoscaling) Azure Virtual Machine Scale Sets can operate in two modes: manual scaling with a fixed instance count, or autoscaling with dynamic instance counts that respond to demand. When a scale set is configured with manual scaling, it maintains the... Compute - Azure App Service CER-0306 ### [Non-Production App Service Plans Running Higher Tiers During Off-Hours](https://www.pointfive.co/efficiency-hub/inefficiencies/non-production-app-service-plans-running-higher-tiers-during-off-hours) Azure App Service Plans define the compute resources allocated to web applications and are billed continuously based on their pricing tier - regardless of whether the hosted apps are actively serving traffic. In non-production environments... Compute - AWS Savings Plans CER-0304 ### [Overcommitted Savings Plans After Temporary AI Inference Demand Spikes](https://www.pointfive.co/efficiency-hub/inefficiencies/overcommitted-savings-plans-after-temporary-ai-inference-demand-spikes) When organizations purchase AWS Savings Plans during periods of elevated AI inference demand - such as experimentation phases, feature launches, or early adoption surges - the committed hourly spend may significantly exceed what is needed... Compute - Azure App Service Plans CER-0291 ### [Overprovisioned Azure App Service Plan](https://www.pointfive.co/efficiency-hub/inefficiencies/overprovisioned-azure-app-service-plan) An App Service Plan is sized larger than required for the applications it hosts. Plans are often provisioned conservatively to handle anticipated peak demand and are not revisited after workloads stabilize. Because pricing is tied to the... Compute - AWS Lambda CER-0296 ### [Inefficient Lambda Pricing Model for Steady High-Volume Workloads (Use Lambda Managed Instances)](https://www.pointfive.co/efficiency-hub/inefficiencies/inefficient-lambda-pricing-for-steady-high-volume-workloads-use-lambda-managed-instances) A function has steady, high-volume traffic (or predictable load) but continues running on default Lambda pricing, where costs scale with execution duration. Lambda Managed Instances runs Lambda on EC2 capacity managed by Lambda and... Compute - AWS Savings Plans CER-0285 ### [Reduced Correction Window When Purchasing AWS Savings Plans Late in the Month](https://www.pointfive.co/efficiency-hub/inefficiencies/reduced-correction-window-when-purchasing-aws-savings-plans-late-in-the-month) Savings Plans are purchased within the final days of a calendar month, reducing or eliminating the ability to reverse the purchase if errors are discovered. Because the refund window is constrained to both a 7-day period and the same... Compute - GCP GKE CER-0287 ### [Spot-Only GKE Capacity Without Standard Fallback](https://www.pointfive.co/efficiency-hub/inefficiencies/spot-only-gke-capacity-without-standard-fallback) Workloads are constrained to run only on Spot-based capacity with no viable path to standard nodes when Spot capacity is reclaimed or unavailable. While Spot reduces unit cost, rigid dependence can create hidden costs by requiring standby... Compute - AWS EKS CER-0298 ### [Stale Completed or Failed Fargate Pods Causing Direct Billing and Capacity Waste](https://www.pointfive.co/efficiency-hub/inefficiencies/stale-completed-or-failed-fargate-pods-causing-direct-billing-and-capacity-waste) Kubernetes Jobs or CronJobs running on EKS Fargate leave completed or failed pod objects in the cluster indefinitely. Although the workload execution has finished, AWS keeps the underlying Fargate microVM running to allow log inspection... Compute - GCP Compute Engine CER-0282 ### [Missed Use of Committed Use Discounts for Compute Engine](https://www.pointfive.co/efficiency-hub/inefficiencies/missed-use-of-committed-use-discounts-for-compute-engine) Workloads with predictable, long-running compute usage continue to run entirely on on-demand pricing instead of leveraging Committed Use Discounts. For stable environments, such as production services or continuously running batch... Compute Showing 12 of 157 --- Source: the public page above. Product screenshots and illustrative interfaces are examples, not live customer data.