FinOps Quick-Start – cut cloud costs systematically
According to the Flexera 2026 report, companies waste 29% of their cloud spend on average. With the right levers, 20–30% savings within about twelve months are realistic – without operational risk. This checklist walks through the levers in order of best effort-to-impact ratio. As of June 2026.
- 1. Establish cost transparency
Enable the native cost tools (AWS Cost Explorer, Azure Cost Management, GCP Recommender) and get an honest baseline: who spends how much on what? Without transparency every further step is guesswork.
- 2. Introduce a tagging standard
Every resource gets mandatory tags (team, project, environment). Only then can costs be attributed and owners addressed. Sounds trivial – it's the foundation of every FinOps routine.
- 3. Shut down unused resources
The fastest lever with zero risk: unattached volumes, old snapshots, forgotten test environments, orphaned IPs and load balancers. Clean up once, then automate the repetition.
- 4. Do rightsizing
Overprovisioning is the norm – average CPU utilisation in Kubernetes clusters is just 8%. Continuous rightsizing alone saves 15–25% according to McKinsey. The native optimisers provide recommendations; you have to apply them consistently.
- 5. Use commitment discounts
Fewer than half of companies use reserved instances or savings plans at all – yet they're the biggest standard lever for stable workloads. Rightsize first, then commit, or you'll be reserving waste.
- 6. Clean up storage classes
Data ages: what's rarely read belongs in cheaper classes (infrequent access, archive). Lifecycle rules automate this – set up once, saves permanently.
- 7. Check egress costs
Data egress is the hidden cost driver: ~$0.09/GB at AWS. Check which data flows must leave the data centre – and whether an EU provider with included traffic (e.g. Hetzner: 20 TB) is cheaper for traffic-heavy workloads.
- 8. Autoscaling & shutdown schedules
Development and test environments don't need to run at night or on weekends. Schedules and autoscaling based on real load save money without losing comfort.
- 9. Set budgets & alerts
Every team gets a budget with automatic alerts on overruns. Be sure to include AI workloads – in 2026 they're the main driver of new waste.
- 10. Establish a FinOps routine
A one-off clean-up fades. What works is a monthly routine: cost review, apply new recommendations, investigate anomalies. Open-source tools like OpenCost (Kubernetes) and Infracost (costs in the pull request) anchor cost awareness in the developer workflow.
Next steps: Start with transparency and the risk-free quick wins (unused resources), then rightsizing and commitments. Want the savings plus sovereignty in one step? We'll calculate the move to EU providers honestly – intro call via info@rocket-monkeys.com.
⚠️ Important note: This content is for general information and is not legal or tax advice. The legal situation (esp. the Data Privacy Framework) and provider offerings change continuously; prices and figures are snapshots as of June 2026. For binding compliance decisions, consult qualified advisors.