338 articles on aws — what drives the cost, how it is priced, and where the savings actually are.
AWS Graviton (ARM) instances typically cost about 20 percent less than comparable x86 instances while often delivering better performance per dollar. For most workloads the switch is nearly free. Here is what Graviton saves and how to adopt it.
The AWS charges that blow up bills are rarely the compute you planned for, they are data transfer, NAT gateways, idle resources, cross-AZ traffic, and forgotten snapshots. Here is a field guide to the hidden costs and how to keep them small.
A NAT gateway costs about 32 to 45 dollars a month plus per-GB processing, and the naive high-availability setup runs one per availability zone. Knowing when you need that redundancy and when one gateway is fine saves real money. Here is the tradeoff.
AWS savings plans discount compute up to about 72 percent versus on-demand in exchange for a one or three year hourly-spend commitment. How much you actually save depends on term, payment, and coverage. Here is the real math.
A managed Postgres database on AWS costs the instance, the storage, the backups, and the data transfer, from around 15 dollars a month for a tiny dev instance to hundreds for production. Here is what drives RDS and Aurora Postgres pricing and how to keep it lean.
A typical SaaS backend on AWS combines compute, a database, load balancing, storage, caching, and networking. An early-stage backend can run a few hundred dollars a month, scaling with users. Here is how the pieces add up and where to save.
A static website hosted on S3 and CloudFront, or a static host, costs almost nothing at low traffic, often pennies to a few dollars a month, with data transfer and requests the only real meters. Here is the breakdown and where costs can grow.
Hosting an API can cost almost nothing at low volume with serverless, or a predictable monthly amount on a small server, and the crossover depends entirely on request volume. Here is how to estimate API hosting cost and pick the cheaper model.
Running a website on AWS spans a huge range: a static site costs pennies, a small dynamic site tens of dollars, and a high-traffic app hundreds or thousands a month. The cost depends on whether it is static, dynamic, and how much traffic it serves. Here is the map.
AWS Cost Explorer is the built-in tool for understanding your bill, but its default view hides more than it shows. Grouping by service, filtering by tag, and switching to amortized cost turns it from a total into an explanation. Here is how to read it.
Traffic between availability zones inside the same region is not free. At roughly a cent per GB in each direction, cross-AZ transfer quietly adds up for chatty microservices, replicated databases, and Kafka clusters. Here is how it is billed and how to cut it.
CloudWatch has a free tier, but logs, custom metrics, dashboards, and high-resolution alarms all cost money, and log ingestion in particular can quietly rival compute spend. Here is what is free, what is not, and how to keep monitoring cheap.
S3 has a genuine free tier for the first year, but requests, data transfer out, and storage class choices shape the bill the moment you outgrow it. Here is what the free tier covers and what actually drives S3 cost.
Self-managed Kafka, MSK, and Kinesis price streaming very differently: broker instances plus replication transfer versus shards or throughput units. The cheapest choice depends on throughput, retention, and how much operational work you want. Here is the breakdown.
Running Lambda functions on ARM-based Graviton instead of x86 costs about 20 percent less per unit of compute, and many functions run just as fast or faster. Here is how the savings work, what to check before switching, and how to migrate.
Lambda bills on requests and on compute measured as memory times duration, with memory also determining CPU. Understanding that model reveals why right-sizing memory, cutting duration, and choosing ARM are the levers that control serverless cost. Here is the full picture.
RDS Multi-AZ roughly doubles instance and storage cost by running a standby in a second Availability Zone for automatic failover. Here is what you actually pay for, and when the availability is worth the premium.
Each RDS read replica is a full additional instance with its own compute and storage cost, plus data transfer for cross-region replicas. Here is how read replica pricing works and how to scale reads without overpaying.
A reserved instance only saves money if it is used. Low utilization means paying for commitment you are not applying, quietly erasing the discount. Here is how to measure, maintain, and maximize RI utilization.
Lambda memory controls both cost and CPU, so the cheapest setting is not always the lowest. Right-sizing memory to minimize cost per invocation, factoring in faster execution, is a real optimization. Here is how to tune it.
RDS instances are often provisioned larger than the workload needs, and unlike stateless compute, resizing a database takes care. Here is how to right-size RDS instance class, storage, and IOPS to real usage without risking the database.
Route 53 charges per hosted zone, per million queries, and for health checks, so DNS cost is usually small but can surprise you at high query volume or with many zones and health checks. Here is the full pricing picture.
S3 Intelligent-Tiering moves objects between access tiers automatically based on usage, cutting storage cost for data with unknown or changing access patterns, for a small monitoring fee. Here is how it works and when to use it.
S3 lifecycle policies automatically transition objects to cheaper storage classes and expire them on a schedule, cutting storage cost for data with a known access pattern. Here is how to design policies that save without losing what you need.