Cutting Cloud Costs 30% Without Sacrificing Performance

KeasBrain Cloud Team5 min read

Cloud spend creeps up quietly: a service over-provisioned during a launch, storage that was never tiered, environments left running overnight. The good news is that the same waste is highly recoverable. We audit first, prove the savings, then change anything — here's the order we work in.

Right-size before you reserve

Buying reserved capacity for over-provisioned instances just locks in waste. We right-size against real utilization first, then commit to savings plans for the steady-state baseline. This one-two routinely takes 20% off compute without touching performance.

Tier storage and kill zombies

Old logs and backups sitting on hot storage are pure margin loss. Lifecycle policies move them to cheaper tiers automatically. Meanwhile, untagged 'zombie' resources — orphaned volumes, idle load balancers, forgotten dev environments — are found and shut down with a tagging audit.

Schedule non-production

Dev and staging rarely need to run nights and weekends. Auto-stop schedules cut their runtime by ~65% with zero impact on developers, who get them back instantly each morning.

Make cost visible

The durable win is a per-team cost dashboard and a monthly review. Once engineers can see the cost of their architecture choices, the savings stop regressing.

Key Takeaways

  • Right-size on real utilization before buying reserved capacity.
  • Automate storage tiering and run a tagging audit to kill zombies.
  • Auto-stop non-production environments nights and weekends.
  • Stand up cost dashboards so savings don't regress.

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