cost optimization
798 articles on cost optimization — what drives the cost, how it is priced, and where the savings actually are.
GCP Cloud SQL high availability cost: what HA roughly doubles
Enabling high availability on Cloud SQL provisions a standby instance in another zone, which roughly doubles the compute and storage cost of the database. Here is exactly what HA adds and when the resilience is worth the price.
GCP Spanner processing units cost: sizing below a full node
Cloud Spanner is priced by processing units, where 1000 units equal one node, letting you provision capacity in increments as small as 100 units instead of whole nodes. Here is how processing units are billed and how to size them.
GCP Bigtable SSD vs HDD cost: choosing the storage type
Bigtable lets you pick SSD or HDD storage per cluster, and the choice changes both storage cost and performance significantly, with HDD storage far cheaper but much slower. Here is how the two compare and when each fits.
BigQuery streaming inserts cost: when real-time ingestion adds up
BigQuery lets you stream rows in for immediate querying, but streaming ingestion is billed per gigabyte on top of storage and query costs, unlike free batch loads. Here is what streaming costs and how the Storage Write API changes the math.
BigQuery slots autoscaling cost: editions capacity without over-committing
BigQuery editions let you buy query capacity as slots with autoscaling, so you pay for compute that follows demand instead of a flat commitment or unpredictable on-demand scans. Here is how slot autoscaling is priced and when it beats on-demand.
GCP Persistent Disk snapshot cost: what incremental backups really cost
Persistent Disk snapshots are incremental and billed per gigabyte of stored data, so their cost depends on how much changes between snapshots, not the disk size. Here is how snapshot billing works and how to stop snapshots creeping up your bill.
GCP Filestore basic vs enterprise cost: choosing the right tier
Filestore comes in tiers from Basic HDD to Enterprise, with per-gigabyte prices that vary several-fold and minimum capacities that set a cost floor. Here is how the tiers compare on cost and which fits your file workload.
GCP Dataproc Serverless cost: paying for Spark without managing clusters
Dataproc Serverless runs Spark jobs without a standing cluster, billing per compute unit for the duration of each job, which eliminates idle cluster cost. Here is how it is priced and when it beats a managed Dataproc cluster.
GCP Pub/Sub Lite vs Pub/Sub cost: when the cheaper tier pays off
Pub/Sub bills per gigabyte of message throughput with no capacity planning, while Pub/Sub Lite bills for provisioned capacity at a much lower unit rate. Here is how the two compare on cost and when Lite's savings justify its extra management.
GCP inter-region egress cost: what moving data between regions costs
Moving data between Google Cloud regions is billed per gigabyte, with rates that depend on whether the regions are on the same continent or across the world. Here is how inter-region egress is priced and how to design around it.
GCP flexible committed use discounts cost: spend-based commitments explained
Google Cloud offers two kinds of committed use discount, resource-based and spend-based flexible commitments, and the flexible kind trades some discount depth for the freedom to change machine types and regions. Here is how they compare on cost.
Cost per API request: the unit metric that catches inefficiency
Dividing your infrastructure cost by request volume gives a single number that exposes inefficient endpoints, bad caching, and creeping bloat. Here is how to compute cost per request and use it to drive optimization.
Cost spike root cause analysis: finding what changed, fast
When the cloud bill jumps, the question is always the same: what changed? A disciplined root-cause method, slice by dimension, isolate the delta, tie it to a change, turns a scary spike into a fixable line. Here is the playbook.
Rightsizing program rollout: turning a one-off into a habit
A rightsizing sprint saves money once; a rightsizing program saves it continuously. The difference is process: recommendations, ownership, safe rollout, and measurement. Here is how to stand up a program that sticks.
Savings plan coverage vs utilization: the two numbers to manage
Commitment management lives or dies on two metrics that pull in opposite directions: coverage (how much of your usage is discounted) and utilization (how much of your commitment you actually use). Here is how to balance them.
Orphaned resource cleanup: reclaiming what nothing uses
Unattached disks, unassociated IPs, empty load balancers, and stale snapshots bill continuously while delivering nothing. A systematic cleanup finds and removes them safely. Here is the guide, resource by resource.
Cost-aware architecture reviews: catching expensive designs early
The most expensive cost decisions are made in architecture, not operations, and they are hard to undo later. Adding a cost lens to design reviews catches the costly pattern before a line of code is written. Here is how.
Managed vs self-hosted Kafka cost: when to run your own
A managed Kafka service removes the operational burden but charges a premium; self-hosting on your own instances is cheaper per unit but demands real operational effort. Which wins depends on scale and how much of a platform team you have. Here is the comparison with numbers.
Managed vs self-hosted search cost: OpenSearch on EC2 or as a service
Running Elasticsearch or OpenSearch yourself on plain instances is cheaper per unit than a managed search service, but the service handles the hard parts. Which is cheaper depends on cluster size and your operational appetite. Here is the breakdown with numbers.
Self-hosted database on EC2 vs RDS cost: is running your own worth it?
Running Postgres or MySQL yourself on EC2 is cheaper per hour than RDS, but RDS handles backups, failover, and patching. The premium is real, and so is the operational burden it removes. Here is when self-hosting a database pays off, with numbers.
Self-hosted Redis vs ElastiCache cost: run your own or pay the premium?
Running Redis yourself on an EC2 instance is roughly half the price of ElastiCache, but ElastiCache handles failover, patching, and backups. For a cache, the trade-off is different than for a database. Here is when self-hosting Redis makes sense, with numbers.
Self-hosted Airflow vs MWAA cost: managed orchestration or run your own?
Managed Airflow (MWAA or Cloud Composer) removes the operational burden of running schedulers and workers, but charges a flat environment fee on top of compute. Self-hosting on your own cluster is cheaper per unit but adds real ops. Here is when each wins, with numbers.
Four ways to buy EC2 compared: on-demand, reserved, savings plans, and spot
On-demand, reserved instances, savings plans, and spot are four ways to pay for the same EC2 capacity, with discounts from zero to around 90 percent and very different commitments. Which mix is cheapest depends on how predictable and interruptible your workload is. Here is the side-by-side.
Colocation vs cloud cost: renting a rack or renting instances
Colocation means you own the servers and rent space, power, and cooling in a data center; cloud means you rent capacity by the hour with no hardware. The cost curves cross at a predictable point tied to utilization and scale. Here is when each wins, with numbers.