Commitment anxiety
Teams stay on costly on-demand pricing because Savings Plans and Reserved Instances feel like a trap. So they leave 50 percent discounts on the table to avoid lock-in that good planning would never cause.
Teams stay on costly on-demand pricing because Savings Plans and Reserved Instances feel like a trap. So they leave 50 percent discounts on the table to avoid lock-in that good planning would never cause.
Instances picked months ago are twice the size they need to be. Old volumes, forgotten environments and dev boxes run all weekend. Nobody has time to hunt it all down.
Cost work is never the priority this sprint. Even a dedicated engineer can only revisit commitments once a month, and by then usage has already moved on.
Rate and usage, worked together. Cutting the price you pay per hour matters little if half those hours are waste, so I do both.
Savings Plans and Reserved Instances laddered to your real usage, so you get deep discounts without betting the farm on a three year guess. We cover EC2, Fargate, Lambda, RDS, ElastiCache and more.
Match instance families and sizes to what the workload actually uses, and move suitable workloads to Graviton for a cheaper price per unit of work with no reliability hit.
Batch jobs, CI runners and stateless services moved onto Spot with safe fallbacks, so you capture up to 90 percent off without risking the workloads that cannot take an interruption.
Shut down what nobody uses, tier cold storage, fix noisy cross region transfer and clean up orphaned volumes and snapshots that quietly bill every month.
EKS clusters tuned with Karpenter and sensible requests and limits, so nodes scale to the workload instead of sitting half empty at your expense.
Clear cost allocation by team and service, budgets and anomaly alerts, so the savings stick and the next surprise bill gets caught before it lands.
We read your bill and usage and show you exactly where the money is going and how much is recoverable.
A prioritized plan with the quick wins first, the dollar impact of each, and the risk spelled out plainly.
We do the work with your team in the loop. Commitments bought, resources tuned, guardrails set, nothing broken.
Dashboards and alerts handed over so your team owns it, plus a monthly check in if you want ongoing eyes on it.
A Series B SaaS team was burning six figures a month on AWS with no commitments and a fleet sized for a traffic peak that rarely came. We fixed the commitment mix, rightsized the fleet and cleaned up idle spend, all with zero downtime.
Cut our AWS bill 38 percent in the first month and turned scary Friday deploys into a non event.
Most teams land between 20 and 40 percent of their cloud bill. The exact number depends on how much you have optimized already. The cost review gives you a real figure for your account before you commit to anything bigger.