Cloud Cost Engineering and Open Source FinOps
Notes from the team building C3X. Cost estimation for Terraform, the economics of cloud infrastructure, and how to ship FinOps tooling without a SaaS gate.
AWS Wavelength cost: pricing for 5G edge compute
AWS Wavelength embeds compute and storage inside telecom 5G networks for ultra-low latency to mobile devices, at a premium over the parent region. Here is how Wavelength is priced, the transfer implications, and when it is worth it.
Azure Blob storage tiers cost: hot, cool, cold, and archive compared
Azure Blob storage offers hot, cool, cold, and archive access tiers at very different prices, trading storage cost against access cost and retrieval latency. Matching data to the right tier can cut storage spend dramatically. Here is how.
Azure free tier explained: what is actually free and for how long
The Azure free tier mixes a 12-month trial, a set of always-free services, and a starting credit. Knowing which is which keeps you from an unexpected bill when a trial window closes. Here is the full breakdown.
Azure ML cost optimization: cutting the bill on training and inference
Azure Machine Learning cost is dominated by compute, GPUs for training, endpoints for inference, and idle clusters. Right-sizing, autoscaling to zero, spot compute, and batch endpoints are the biggest levers. Here is the playbook.
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.
Azure reservations explained: how to cut compute cost with commitments
Azure reservations give a large discount on VMs, databases, and other services in exchange for a one or three year commitment. Understanding scope, flexibility, and exchange rules is key to committing without overcommitting. Here is how they work.
The biggest AWS cost drivers: where your bill actually goes
For most AWS accounts, a short list dominates the bill: compute, data transfer, storage, databases, and managed services. Knowing which drivers matter lets you focus optimization where it pays. Here is the breakdown.
BigQuery cost optimization: a deep dive on query and storage spend
BigQuery cost splits into query processing (bytes scanned or slots) and storage. Partitioning, clustering, avoiding SELECT star, and choosing on-demand versus capacity pricing are the biggest levers. Here is the detailed playbook.
Building a FinOps culture: making cost everyone's job
FinOps succeeds as a culture, not a tool. Shared ownership, cost visibility for engineers, blameless accountability, and celebrating savings turn cost into a normal engineering concern. Here is how to build that culture.
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.
CI/CD cost optimization: cutting the bill on pipelines and runners
CI/CD cost comes from compute minutes, caching misses, oversized runners, and redundant builds. Right-sizing runners, caching aggressively, and skipping needless work are the biggest levers. Plus, pipelines are the place to catch cloud cost before deploy.
Cloud budget alerts setup: catching overspend before the invoice
Budget alerts notify you when spend crosses a threshold or is forecast to, on AWS, Azure, and GCP. Setting them up per team and service, with actionable thresholds, is the simplest cost safety net. Here is how to configure them well.
Cloud CDN cost compared: CloudFront, Cloud CDN, and Azure CDN
A content delivery network bills mostly for data transfer out and requests, and the rates vary by provider and region. Here is how CloudFront, Google Cloud CDN, and Azure CDN compare, and how to keep CDN cost predictable.
Cloud cost dashboards: what to put on them and why
A good cost dashboard turns an opaque bill into an actionable picture: spend by team and service, trend, unit cost, commitment health, and anomalies. Here is what belongs on a cloud cost dashboard and how to make it drive decisions.
Cloud unit economics guide: measuring cost per unit of value
Unit economics ties cloud spend to a business metric, cost per customer, per transaction, per request, so you measure efficiency instead of just total dollars. This guide covers which units to pick, how to compute them, and how to improve them.
CloudFront cost optimization guide: cutting CDN spend on AWS
CloudFront bills for data transfer out, requests, and optional features, and the biggest savings come from raising cache hit ratio, choosing the right price class, and using commitments. Here is a complete guide to optimizing CloudFront cost.
The CloudWatch surprise bill: why monitoring costs more than you think
CloudWatch can quietly become a large line item through custom metrics, high-cardinality dimensions, verbose logs, and frequent API calls. Here is what drives a CloudWatch surprise bill and how to keep observability cost under control.
Convertible vs standard reserved instances: which to buy
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.
The cost of a load balancer explained
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.
The cost of a message queue in the cloud
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.
The cost of object storage compared: S3, GCS, and Blob Storage
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.