756 articles on cost optimization — what drives the cost, how it is priced, and where the savings actually are.
Showback shows teams what they spend; chargeback bills it back to their budgets. Both make cloud cost accountable, but they differ in enforcement and organizational fit. Here is how to choose between them.
Snowflake cost is driven by virtual warehouse compute credits, and the biggest wastes are oversized warehouses and warehouses left running idle. Here is how to right-size, auto-suspend, and tune Snowflake spend.
Spot instances offer steep discounts off on-demand prices for spare capacity that AWS can reclaim with short notice. For fault-tolerant workloads the savings are large; the catch is interruption. Here is how to use spot safely.
SQS, SNS, and EventBridge all move messages between services but price differently, per request, per publish and delivery, and per event with routing. Which is cheapest depends on your fan-out and routing needs. Here is the comparison.
AWS Step Functions bills the Standard workflow type per state transition, so a workflow with many steps or high execution volume can cost more than expected. The Express type prices differently. Here is how to keep orchestration cheap.
T3a instances use AMD processors to deliver the same burstable profile as T3 Intel instances at a lower price. For most general-purpose workloads the swap is a simple, low-risk saving. Here is how they compare.
Consistent resource tags are what let you attribute cloud cost to teams, projects, and environments. Without them, cost is an unattributable lump. Here is how to design and enforce a tagging strategy that makes cost accountable.
Distributed tracing is billed by span or trace volume, so capturing every request gets expensive at scale. Intelligent sampling keeps the diagnostic value while cutting the volume you pay for. Here is how sampling affects cost.
AI cost divides into training (building the model, often GPU-heavy and periodic) and inference (running it, continuous and scaling with usage). They have different profiles and different levers. Here is how to think about the split.
An Azure invoice mixes compute, storage, networking, and service charges across subscriptions and resource groups, which makes it hard to read. Knowing the structure, and where the big and surprising lines come from, is the first step to control. Here is how to read it.
Most surprise AWS charges come from a short list of usual suspects, data transfer, NAT gateways, idle resources, request fees, and forgotten services. Knowing them turns a mystifying bill into a fixable one. Here is the catalog of surprises.
us-east-1 and us-west-2 are two of AWS's cheapest and most feature-complete regions, with pricing that is close but not identical. Here is how they compare on cost, and what else to weigh beyond the sticker price.
Vector databases for AI and search come as managed services, self-hosted engines, and add-ons to existing databases, each with a different cost model. Which is cheapest depends on scale, query volume, and operational appetite. Here is the comparison.
Vertex AI cost spans training jobs, online prediction endpoints, notebooks, and pipelines, and the biggest drains are always-on endpoints and idle notebooks. Here is how to optimize each part of GCP's managed ML platform.
Migrating VMware workloads to the cloud can mean a like-for-like lift onto managed VMware services or a re-architecture to native cloud. Each has a distinct cost profile, and recent VMware licensing changes have sharpened the math. Here is the breakdown.
VPC peering is free to set up and charges only for data transfer; Transit Gateway adds hourly attachment and per-GB processing fees but scales connectivity cleanly. Which is cheaper depends on how many VPCs you connect. Here is the detailed comparison.
AWS WAF bills per web ACL, per rule, and per million requests inspected, so cost scales with how many rules you run and how much traffic you protect. Here is how WAF pricing works and how to keep protection affordable.
The AWS free tier covers limited usage for twelve months (and some services always), and when it expires, resources that were free start billing at standard rates. Here is what changes, what to watch, and how to avoid a surprise bill.
Reserved instances save money on steady workloads but lock you into a commitment, so buying at the wrong time or for the wrong capacity wastes the discount. Here is how to decide when a workload is ready to reserve.
A high AWS bill almost always traces to a few dominant drivers, over-provisioned compute, data transfer, idle resources, and unmanaged growth, rather than a mystery. Here is how to find what is driving your bill and bring it down.
us-east-1 (N. Virginia) is AWS's oldest, largest region, and it is consistently at or near the lowest prices and the first to get new services. Here is why it earned that status, and when the cheapest region is not the right choice.
Running Apache Airflow on AWS costs money whether you use managed MWAA or self-host on EC2 or EKS. The bill is driven by environment size, worker scaling, and the compute your tasks actually launch. Here is how to size and control it.
Azure Kubernetes Service is free for the control plane, but node pools (the VMs running your workloads) are where the cost lives. Right-sizing pools, using spot and autoscaling, and separating workload types cut the bill substantially. Here is how.
AWS API Gateway offers REST APIs and HTTP APIs at very different prices. HTTP APIs are substantially cheaper per million requests but drop some features. Here is the price gap, the feature tradeoffs, and how to choose.