Practical guides to reduce your cloud costs. No enterprise jargon, just actionable strategies.
Most teams overspend 20-40% on AWS without realizing it. This guide covers billing visibility, right-sizing EC2, Savings Plans vs Reserved Instances, idle resource cleanup, S3 storage optimization, and a monthly review framework — no dedicated FinOps team required.
AI spend is the fastest-growing line item on GCP bills. This guide covers how to find AI costs in billing exports, understand Vertex AI and Gemini API pricing, allocate costs by model and team, and avoid the most common AI cost traps.
Most teams scan 10-100x more data than needed in BigQuery. This guide covers partitioning, clustering, scheduled query audits, slot management, and storage optimization to cut your BigQuery bill by 50-90%.
You don't need a FinOps team to control Google Cloud costs. This framework gives startup CTOs and engineers a repeatable 10-minute weekly routine using GCP's native tools to catch waste before it compounds.
Practical strategies to reduce Cloud Composer spending without disrupting your data pipelines. Right-sizing, scheduling, consolidation options, and migration paths.
A practical guide to finding and cleaning up unused GCP resources. Learn to use Recommender, audit manually, and prevent waste from accumulating.
Step-by-step guide to enable GCP billing export to BigQuery. Learn setup, export types, your first queries, and common troubleshooting tips.
Compare GCP cost optimization tools built for growing companies. From native GCP tools to affordable third-party options—find what works without enterprise overhead.
A practical guide to GCP CUDs. Learn when to buy, how much to commit, and avoid common mistakes. Includes calculator and decision framework.
Practical strategies to reduce your Google Cloud costs without enterprise complexity. Built for growing companies who need results, not overhead.