338 articles on aws — what drives the cost, how it is priced, and where the savings actually are.
AWS Batch adds no charge of its own; you pay for the EC2, Fargate, or Spot compute your jobs run on. Compute environment choice and Spot are the big levers. Here is how to run batch workloads cheaply.
AppSync bills GraphQL query and data-modification operations per million, real-time subscription messages per million, and connection-minutes. Chatty clients and broad subscriptions drive the bill. Here is how the managed-GraphQL pricing works.
Redshift Serverless bills per Redshift Processing Unit (RPU) hour while queries run, plus managed storage, with no cluster to pause. It suits variable, intermittent analytics; steady heavy load is cheaper on a provisioned cluster. Here is how to size it.
Amazon MQ bills broker instance hours by size and deployment (single or active-standby), plus storage. Active-standby doubles the instance cost for high availability. Here is how the managed-broker pricing works and when to use it.
WorkSpaces bills per user by bundle, in either an always-on monthly mode or an hourly mode with a small monthly base plus per-hour usage. Choosing the right mode for each user's usage pattern is the main saving. Here is how to decide.
Transfer Family bills about $0.30 per hour for each enabled protocol endpoint (SFTP, FTPS, FTP) plus about $0.04 per GB uploaded and downloaded. The always-on endpoint fee is the surprise for low-volume use. Here is the breakdown.
NAT gateways bill an hourly fee plus per-GB data processing, so high-traffic private subnets accessing the internet or AWS services rack up processing charges. VPC endpoints, consolidation, and architecture cut it. Here is how.
Site-to-site VPN bills per connection-hour plus data; Transit Gateway bills per attachment-hour plus data processing but scales to many networks cleanly. For a few connections VPN is cheaper; for many, Transit Gateway wins. Here is the tradeoff.
AWS Global Accelerator bills a fixed hourly fee plus a premium per-GB data transfer charge, routing user traffic over the AWS backbone for better performance. For latency-sensitive global apps it helps, but the premium adds up. Here is the model.
A VPC itself is free, but its components, NAT gateways, VPC endpoints, data transfer, and traffic mirroring, carry cost. Knowing which pieces bill, and optimizing them, keeps VPC networking cheap. Here is the breakdown.
ParallelCluster is a free tool that provisions HPC clusters; the cost is the underlying EC2 compute, storage, and networking it launches. Right-sizing nodes, using Spot, and scaling to zero when idle drive the bill. Here is the model.
Verified Access bills per application connected per hour plus data processed, giving zero-trust access to internal apps without a VPN. Many connected apps and high traffic drive the bill. Here is the model.
AWS Clean Rooms bills for the compute (CRPU) that runs privacy-preserving queries across partners' data without sharing raw data. Query volume and complexity drive the bill. Here is the model.
GuardDuty bills by the volume of logs and events it analyzes, CloudTrail events, VPC flow logs, DNS logs, and per feature (S3, EKS, malware, RDS protection). High-traffic accounts and enabled features drive the bill. Here is the model.
FIS bills per action-minute of chaos experiments (about $0.10), so cost scales with how long and how many fault-injection actions run. It is cheap relative to the resilience it validates. Here is the model and how it fits.
CloudTrail Lake bills per GB of events ingested into an event data store (by pricing tier and retention) plus per GB scanned by queries. High-volume event ingestion and broad queries drive the bill. Here is the model.
Amazon Location Service bills per request across maps (tiles), places (geocoding, search), routes, and trackers/geofences, each priced separately with a free tier. High-volume mapping and per-position tracking drive the bill. Here is the model.
Network Firewall bills a per-endpoint hourly fee (per Availability Zone) plus per GB of traffic inspected. The always-on per-AZ endpoint fee is the surprise. Centralizing inspection is the lever. Here is the model.
Outposts brings AWS infrastructure on-premises, priced as a capacity commitment (upfront and/or monthly over a 3-year term) for the rack or servers. It suits low-latency or data-residency needs, at a substantial fixed cost. Here is the model.
Lake Formation's governance and permissions add no direct charge; you pay for the underlying S3, Glue, and Athena, plus a storage-optimization (compaction) charge for governed tables. The underlying services are the real cost. Here is the model.
CloudHSM bills per HSM instance-hour (around $1.45, so about $1,000+/month each), and you need at least two for high availability. It is expensive dedicated hardware for strict compliance needs. For most, KMS is far cheaper. Here is when CloudHSM is required.
Translate bills per character of input text (about $15 per million), with a free tier and higher rates for custom terminology and Active Custom Translation. Translating more text than needed drives the bill. Here is the per-character model.
Polly bills per character of text synthesized to speech, with neural voices costing several times more than standard, plus a free tier. Synthesizing the same text repeatedly, or using neural where standard suffices, drives the bill. Here is the model.
Kendra bills per index-hour by edition (Developer and Enterprise), running around the clock, plus connector scans and extra query or document capacity. The always-on index fee is a significant baseline. Here is when Kendra's intelligent search pays off.