756 articles on cost optimization — what drives the cost, how it is priced, and where the savings actually are.
Standard reserved instances offer the deepest discount but lock you into an instance family; convertible RIs discount a bit less but let you change instance type. Here is how to choose based on how stable your workload is.
A cloud load balancer bills for an hourly rate plus a capacity or data-processing unit, so cost scales with both uptime and traffic. Here is how load balancer pricing works across AWS, GCP, and Azure, and how to keep it low.
Managed message queues like SQS, Pub/Sub, and Azure Service Bus bill per request or per message, sometimes plus data and features. Here is how queue pricing works, what drives the bill, and how to keep messaging cost low.
Object storage bills for stored GB, requests, and data retrieval or egress, with storage classes that trade retrieval cost for lower storage price. Here is how S3, Google Cloud Storage, and Azure Blob compare and how to pick the right tier.
Managed Redis (ElastiCache, Memorystore, Azure Cache) bills mostly for the node size and count you run, per hour, plus data transfer and optional replicas. Here is how Redis pricing works and how to size it without overpaying.
Cost per customer, cloud spend divided by customers served, is the unit metric that drives SaaS gross margin. Knowing it, and reducing it as you scale, is essential to healthy economics. Here is how to measure and improve it.
Replicating data across regions for durability or latency adds cross-region data transfer charges plus duplicated storage, and the transfer is often the bigger surprise. Here is how cross-region replication is priced and how to control it.
Data transfer out, egress to the internet, is one of the least understood and most surprising cloud charges. Inbound is usually free, outbound is not, and it scales with traffic and region. Here is how egress pricing works and how to cut it.
Data warehouse cost is dominated by how much compute you provision and how long it runs. Sizing the warehouse to the workload, and scaling it down or off when idle, is the biggest lever. Here is how to size for cost.
Connection pooling lets a database serve more clients with fewer resources, so you can run a smaller, cheaper instance. The cost impact comes from avoiding over-provisioning driven by connection limits. Here is how pooling saves money.
Databricks cost is DBUs (the platform fee) plus the underlying cloud compute. Optimizing means right-sizing clusters, using autoscaling and spot, choosing the right compute type, and avoiding idle clusters. Here is the full playbook.
Comparing on-premise datacenters to cloud means looking past the sticker price to total cost of ownership: hardware, power, staff, utilization, and elasticity. Cloud is not always cheaper, but it shifts the cost shape. Here is how to compare.
Datadog bills by hosts, log ingestion and retention, custom metrics, and per-product SKUs, and it can quietly become one of your largest cloud-adjacent bills. Here is how to find and cut the drivers of Datadog cost.
dbt Core is free and open source but you run and orchestrate it yourself. dbt Cloud is a paid managed service with scheduling, IDE, and collaboration. The cost comparison is subscription fees versus your own compute and engineering time. Here is how to choose.
AWS Direct Connect gives a dedicated private link with lower, predictable data-transfer rates but port and setup costs. A Site-to-Site VPN is cheap to start but runs over the internet at standard egress rates. Here is the cost comparison.
Amazon DocumentDB bills for instance hours, storage consumed, I/O operations, and backups, with a separate compute-and-storage model. Understanding each meter, and how I/O can dominate, is key to controlling DocumentDB cost. Here is the breakdown.
The VPC itself is free, and so are subnets, route tables, security groups, and internet gateways. The costs come from what you attach: NAT gateways, VPC endpoints, data transfer, and traffic through certain components. Here is exactly what you pay for.
AWS IAM itself is completely free: users, roles, groups, and policies cost nothing. The confusion comes from adjacent paid services like IAM Identity Center add-ons, Secrets Manager, and certain identity features. Here is what is free and what is not.
Terraform the open-source tool is free to download and use. HashiCorp offers paid HCP Terraform (formerly Terraform Cloud) tiers for teams. And separately, the infrastructure Terraform provisions costs money. Here is what is free and what is not.
DynamoDB cost hinges on capacity mode: on-demand bills per request with no planning, provisioned bills for reserved throughput you must size. Picking the right mode, and sizing provisioned capacity, is the core cost decision. Here is how.
Amazon EventBridge charges mostly per event published, with extras for schema discovery, replay, and cross-Region routing. The default event bus receiving AWS service events is free. Here is how EventBridge pricing works and how to keep it cheap.
Good FinOps measures efficiency, not just total spend. The KPIs that matter, unit cost, commitment coverage and utilization, waste percentage, forecast accuracy, and allocation coverage, each point to a specific action. Here is how to choose and use them.
The first AWS bill is confusing: dozens of line items, unfamiliar units, and charges for things you did not know were metered. Here is how to read it, which line items matter, and how to avoid the common first-bill surprises.
Cloud cost forecasting predicts future spend so you can budget, plan, and catch drift early. Good forecasts combine historical trends, known changes, and unit-based modeling. Here is how to forecast cloud costs accurately and what makes forecasts go wrong.