regions
10 articles on regions — what drives the cost, how it is priced, and where the savings actually are.
us-east-1 vs us-west-2 cost: comparing two popular regions
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.
Why is us-east-1 the cheapest region: the default explained
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.
AWS region pricing differences explained: why the same resource costs more elsewhere
The identical EC2 instance, S3 bucket, or RDS database costs different amounts depending on the AWS region. Understanding why, and which regions are cheapest, can meaningfully cut your bill. Here is the full explanation.
Azure region pricing differences: why the same VM costs more in some regions
Azure prices the same service differently by region, sometimes by a wide margin. The cause is local infrastructure cost, demand, and taxes. Knowing the pattern helps you place workloads where they are cheapest without hurting latency.
The cheapest AWS region for EC2: where compute costs least
EC2 prices vary by region, and the cheapest regions for a given instance are usually the large US regions. Choosing a low-cost region for latency-tolerant compute is easy savings. Here is how to find and use the cheapest region.
The cheapest Azure region: where to place workloads for lowest cost
Azure prices services differently by region, and the cheapest regions for compute are often large US and Western European regions. Choosing a low-cost region for latency-tolerant workloads is easy savings. Here is how to pick one.
The cheapest GCP region: placing workloads for lowest cost
GCP prices Compute Engine and other services differently by region, with US regions often cheapest. Choosing a low-cost region for latency-tolerant workloads is simple savings. Here is how to find and use the cheapest GCP region.
Choosing a cloud region for cost: balancing price, latency, and transfer
Region choice affects compute price, data transfer, latency, and compliance all at once. The cheapest region is not always the right one. Here is a framework for choosing a region that minimizes total cost without hurting users.
GCP Region pricing differences: why location changes your bill
Google Cloud prices the same resources differently by Region, sometimes by 20 percent or more, and egress between Regions and to the internet varies too. Here is how GCP Region pricing works and how to pick Regions that balance cost, latency, and compliance.
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.