cost optimization
798 articles on cost optimization — what drives the cost, how it is priced, and where the savings actually are.
GCP Apigee cost: an always-on platform priced by tier and calls
Apigee is a full API management platform priced by subscription tier (or pay-as-you-go per API call), with a significant baseline for the standard tiers. It is powerful but not cheap. Here is how it prices and when a lighter gateway suffices.
GCP Batch cost: free service, you pay for the compute it schedules
GCP Batch adds no charge of its own; you pay for the Compute Engine VMs it runs your jobs on, including Spot. Spot workers, right-sized machines, and jobs that scale to zero are the levers. Here is how to run batch cheaply.
Object storage cost compared: S3 vs Cloud Storage vs Blob
S3, Google Cloud Storage, and Azure Blob price object storage similarly, tiered storage, request charges, and egress, but the details and egress rates differ. This compares the three and shows why egress, not storage, usually decides the bill.
Serverless functions cost compared: Lambda vs Azure Functions vs Cloud Functions
AWS Lambda, Azure Functions, and Google Cloud Functions all bill invocations plus compute (memory times duration), with a free tier. The models are close; the real cost differences come from configuration and the surrounding services. Here is the comparison.
AWS S3 Express One Zone cost: pay more to store, less per request
S3 Express One Zone charges far higher storage (around $0.16/GB-month) but much lower per-request costs than S3 Standard, in a single AZ for low latency. For request-heavy, latency-sensitive workloads it can be cheaper overall. Here is the math.
AWS DynamoDB global tables cost: you replicate writes and storage
Global tables replicate a DynamoDB table across regions, so you pay replicated write capacity, storage in every region, and cross-region replication transfer. The multiplier is the number of regions. Here is when multi-region is worth it.
AWS EFS throughput modes: Bursting, Elastic, and Provisioned cost
EFS charges storage plus, depending on throughput mode, either nothing extra (Bursting), per throughput used (Elastic), or per provisioned throughput. Picking the wrong mode over-pays or throttles. Here is how the modes price and when to use each.
CloudFront Functions vs Lambda@Edge cost: lightweight vs full compute
CloudFront Functions cost about $0.10 per million invocations for lightweight viewer logic; Lambda@Edge bills per request plus duration for heavier compute across more event types. Choosing the lighter tool where it fits cuts edge cost. Here is the comparison.
Azure Front Door Standard vs Premium cost: when the base fee pays off
Front Door Standard has a modest base fee plus usage; Premium costs several times more but bundles managed WAF rules, bot protection, and Private Link. Paying for Premium features you do not use is the overspend. Here is how to choose.
GCP BigQuery storage cost: active, long-term, and physical billing
BigQuery storage bills active data (recently modified) at about $0.02/GB-month and long-term data (untouched 90 days) at about half that, with an option to bill physical (compressed) bytes instead of logical. Here is how to cut storage cost.
GCP Cloud SQL editions cost: Enterprise vs Enterprise Plus
Cloud SQL now has two editions: Enterprise and Enterprise Plus. Enterprise Plus costs more per vCPU and memory but adds a data cache, better performance, and near-zero-downtime maintenance. Here is how the editions price and when the upgrade pays off.
The cheapest AWS region: how much location affects your bill
AWS prices the same service differently by region, sometimes 10 to 50 percent apart. us-east-1 is often the cheapest, but latency, data residency, and transfer between regions complicate a naive move. Here is how region choice affects cost.
Kubernetes cost monitoring: from cluster bill to per-workload cost
A Kubernetes cluster bill is one number; the hard part is attributing it to namespaces, teams, and workloads. This is how cost monitoring works, what it needs (requests, labels, allocation), and how it complements pre-deploy estimation.
Rightsizing automation: making it continuous, not a one-off
Rightsizing done once drifts back to waste as workloads change. Automating it, through recommendations, policies, and pre-deploy checks, keeps resources matched to real usage over time. Here is how automated rightsizing works and where it fits.
Serverless cost optimization: pay-per-use is not automatically cheap
Serverless bills only for what you use, which can be cheap or expensive depending on memory, duration, invocation volume, and idle provisioned capacity. This is a practical guide to keeping Lambda, Fargate, and serverless databases economical.
AWS Direct Connect cost: port hours plus cheaper data transfer out
Direct Connect bills a port-hour fee by connection speed plus data transfer out at rates well below internet egress. For high, steady traffic to AWS it pays back the port fee; for low volume it does not. Here is the model.
AWS Site-to-Site VPN cost: cheap per connection, plus egress
Site-to-Site VPN bills about $0.05 per connection-hour (roughly $36/month) plus standard data transfer out. It is a cheap, quick way to connect on-premises to AWS over the internet. Here is the model and when to prefer Direct Connect.
AWS Storage Gateway cost: you pay for the AWS storage it fronts
Storage Gateway charges for the AWS storage it writes to (S3, EBS snapshots, or virtual tapes), requests, and data transfer, plus a per-gateway fee on some types. The bulk of the bill is the backing storage. Here is the model.
AWS QuickSight cost: authors, readers, and SPICE capacity
QuickSight bills per author (a monthly subscription) and per reader (session-based with a monthly cap), plus SPICE in-memory capacity beyond the included allowance. Matching author and reader licensing to real usage is the main lever. Here is the model.
AWS Bedrock cost: per token on-demand, or provisioned throughput
Bedrock bills per 1,000 input and output tokens on-demand, with rates varying by model, plus a provisioned-throughput option (per model-unit-hour) for steady high volume. Prompt and output length drive on-demand cost. Here is how to control it.
Azure OpenAI cost: per token, or provisioned throughput units
Azure OpenAI bills per 1,000 tokens by model on the standard pay-as-you-go option, or per Provisioned Throughput Unit (PTU) for reserved, predictable capacity. Model choice and token volume drive standard cost. Here is how to control it.
Azure Cache for Redis cost: tier and size, billed per hour
Azure Cache for Redis bills per hour by tier (Basic, Standard, Premium, Enterprise) and cache size, provisioned regardless of use. Basic has no replica; Standard and above add availability. Here is how the tiers price and how to choose.
GCP AlloyDB cost: compute per vCPU-hour plus regional storage
AlloyDB bills compute per vCPU-hour and memory, plus regional storage per GB-month with no separate I/O charge, plus backups. It is a PostgreSQL-compatible database aimed at demanding workloads. Here is how it prices versus Cloud SQL.
GCP Cloud TPU cost: per chip-hour, with Spot and commitments
Cloud TPU bills per chip-hour by TPU version and configuration, with on-demand, Spot (preemptible), and committed-use pricing. Idle TPUs and full-price on-demand for interruptible training are the expensive mistakes. Here is how to cut cost.