The industry's most comprehensive library of cloud cost inefficiencies, built to help teams identify, understand, and eliminate waste across IaaS, PaaS, and beyond.
Each entry explains the waste, the billing model behind it, how to detect it and how to fix it.
531 inefficiencies
Azure Managed DisksCER-0338
Azure Managed Disk reservations allow organizations to pre-purchase Premium SSD capacity at a discounted rate by committing to a one-year term. However, these reservations operate on a strict use-it-or-lose-it basis - if reserved disk...
Microsoft FabricCER-0337
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...
GCP GCSCER-0336
Google Cloud Storage exposes a flat namespace through an HTTP API, but many workloads consume it through filesystem-style abstractions - FUSE mounts, Hadoop/Spark connectors, or analytic engines that enumerate prefixes to discover state....
Azure Blob StorageCER-0335
Azure Blob Storage and ADLS Gen2 bill per transaction - every list, read, write, rename, and metadata operation is a separately metered API call. When organizations migrate workloads from on-premises Hadoop/HDFS environments or local...
AWS S3CER-0334
Amazon S3 bills for nearly every API request - LIST, HEAD, GET, PUT, COPY, and POST - independently of storage charges (DELETE and CANCEL requests are free). Workloads originally designed for locally-provisioned storage, where listing a...
AWS SageMakerCER-0333
SageMaker notebook instances are billed continuously while in an active state - and critically, they do not automatically shut down when idle. Closing a browser tab, shutting down a Jupyter kernel, or simply walking away does not stop the...
DatabricksCER-0332
When Delta Lake tables are partitioned by specific columns - such as date, region, or tenant identifier - the query engine can use partition pruning to limit data scans to only the relevant subset of files. However, when queries against...
GCP Cloud NATCER-0331
Cloud NAT charges a per-GiB data processing fee on all traffic routed through the gateway - both inbound responses and outbound requests. For high-throughput workloads such as web crawlers, data pipelines, container image pulls, and...
AWS S3CER-0330
Machine learning experimentation workflows - particularly those managed through experiment tracking platforms - generate large volumes of artifacts in object storage. Every training run produces model checkpoints, evaluation outputs,...
Azure Container RegistryCER-0329
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...
Amazon FSxCER-0328
Amazon FSx file systems are designed for performance-sensitive workloads such as shared enterprise file systems, high-performance computing, analytics, and machine learning. Storage costs are driven by provisioned capacity (measured in...
AWS EC2CER-0327
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...
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