95 articles on azure — what drives the cost, how it is priced, and where the savings actually are.
The three big managed Kubernetes services charge similar control-plane fees but diverge sharply on node pricing, load balancers, and free tiers. A like-for-like cluster can differ by 15 to 20 percent across them. Here is the comparison with real numbers.
Hourly rates hide enormous differences in delivered compute. Dividing price by teraflops and by memory bandwidth turns a confusing price list into a ranking you can actually reason about.
Azure Machine Learning charges you the underlying VM rate with no platform surcharge, which makes cluster configuration the whole cost story. Minimum node counts and idle timeouts decide most of the bill.
Not all outbound traffic is billable. Every major cloud has a list of destinations where egress is free, and routing through them is one of the cheapest optimizations available. Here is the list and how to use it.
Azure reductions come from a different shape of waste than AWS: premium disks, orphaned NICs and public IPs, oversized VMs, and Log Analytics ingestion. Here is the ordered playbook with real meter prices and expected savings.
A week has 168 hours and most non-production workloads need about 45. Turning things off for the rest is the highest ratio saving in cloud. Here is the arithmetic, the implementation, and the resources that keep billing anyway.
Most Azure VM bills carry oversized instances that never touch their allocated CPU or memory. Right-sizing to the correct family and size, then layering reservations, is the highest-return Azure cost move. Here is how to do it.
Azure SQL Database serverless bills compute per second and pauses when idle, which can slash the bill for intermittent workloads but cost more for steady ones. Here is where serverless wins and where provisioned vCore is cheaper.
Azure SQL elastic pools let many databases share a single pool of DTUs or vCores, which is far cheaper than provisioning each database on its own when their peaks do not coincide. Here is how the math works.
Cosmos DB autoscale raises the per-RU/s rate by 50 percent but scales throughput automatically between 10 percent and 100 percent of a maximum. For variable traffic it can be cheaper than standard provisioned; for flat traffic it is a needless premium. Here is the math.
The redundancy option you pick for an Azure storage account changes the price of every gigabyte. LRS is the baseline, ZRS adds zone resilience, and GRS roughly doubles cost for cross-region durability. Here is what each buys and costs.
Azure Blob Storage charges not just for gigabytes stored but for every read, write, and list operation, and on cool and archive tiers those transaction fees can dwarf the storage itself. Here is how transaction pricing works and how to control it.
Azure Monitor spans metrics, alerts, and Log Analytics ingestion, and the ingestion charge at roughly $2.30 per gigabyte is what usually runs the bill up. Here is how each part is priced and how to keep observability affordable.
Application Gateway v2 bills a fixed hourly fee plus capacity units that scale with traffic, and the WAF-enabled SKU costs noticeably more. Here is how the pricing works and when a simpler load balancer is cheaper.
AKS offers a Free control plane with no uptime SLA and a Standard tier that charges about $0.10 per cluster per hour for a financially backed SLA. Here is when the paid tier is worth it and where the real AKS cost actually lives.
Virtual Machine Scale Sets come in Flexible and Uniform orchestration modes. Neither mode has an orchestration fee, but Flexible's ability to mix spot and on-demand and different VM sizes changes what you can save. Here is the cost angle.
B-series burstable VMs cost far less than general-purpose sizes because they run at a low baseline CPU and bank credits for bursts. For mostly idle workloads they are the cheapest option; for steady load they throttle. Here is how they work.
The Dv5 general-purpose and Ev5 memory-optimized families share a CPU generation but differ in memory per vCPU and price. Choosing Ev5 for a CPU-bound workload pays for RAM that sits unused. Here is how to pick the right family.
Event Hubs prices by throughput units for high-volume streaming, while Service Bus prices by operations and messaging units for enterprise messaging. They solve different problems at very different cost curves. Here is how to compare them.
Synapse offers a serverless SQL pool billed per terabyte scanned and dedicated SQL pools billed per hour of provisioned capacity. Which is cheaper depends on how often you query and how much data each query touches. Here is the comparison.
Premium SSD bundles IOPS and throughput into fixed disk sizes, while Ultra Disk bills capacity, IOPS, and throughput as three separate dials. For most workloads Premium is cheaper; Ultra wins only when you need decoupled, extreme performance. Here is the math.
Adding a region to Cosmos DB multiplies your throughput cost by the number of regions, and enabling multi-region writes multiplies it further. Global distribution is powerful but priced per region. Here is how to weigh the cost against the benefit.
Azure Blob lifecycle policies automatically move data to cooler tiers and delete it on a schedule, turning manual tiering into ongoing savings. The rules are free to run; the savings come from data landing on the right tier. Here is how to build them.
Azure Databricks bills a DBU rate for its platform on top of the underlying VM cost, and the DBU rate varies by workload type and tier. Understanding DBUs is the key to controlling Databricks spend. Here is how they work.