FinOps and GreenOps guides
Concrete methods, built over eight years in the field in large enterprises, to cut your cloud costs and stay in control over time.
What is FinOps? Definition, 4 phases and ROI
Definition, the 4 phases, the levers and the return on investment.
Usage optimizationStop/Start: why a fixed schedule isn't enough, and what really works
Why classic Stop/Start barely beats a reservation, and what really works.
Per-service optimizationCutting Log Analytics and Sentinel costs: the method
Filter, choose the right table plan, commitment tier and retention.
Rate optimizationReserved Instances or savings plans on Azure: which one to choose?
The differences, the order of application and the strategy that combines both.
GovernanceFinOps tagging: why one tag can be enough
Fewer mandatory tags, better respected, linked to the CMDB.
Anomaly ManagementFinOps incidents: 5 real cases, and how to avoid them
Non-prod as expensive as prod, costs ×40, logs ×6: what happened, and how to prevent it.
Usage optimizationCutting data costs: Databricks, Data Factory, Synapse and Fabric
Challenge the service, then tune clusters, pipelines, capacities and reservations.
Usage optimizationApp Service and Azure PaaS: the levers that really cut the bill
App Service, SQL Database, MySQL, Cosmos DB, Application Gateway: the settings that matter.
How much are you losing every month on a poorly optimized cloud?
SMEs: we are paid 20% of the annual savings achieved. Large enterprises: day-rate engagement. A first 30-minute conversation, no commitment.