We analyze AWS billing data, usage patterns, commitments, and architecture to identify quick savings and long-term cloud cost optimization opportunities.
Our engineers implement rightsizing, Savings Plans, Reserved Instances, storage tiering, and architecture improvements. Each change is prioritized by savings potential, effort, and operational risk.
We establish AWS cost management guardrails, anomaly alerts, tagging standards, and monthly reviews so savings continue as usage grows.
Rightsizing, Savings Plans, and Spot Instance automation redirect wasted spend toward higher-value work.
Auto Scaling and modern cloud architectures keep applications responsive as demand changes.
FinOps dashboards show which teams, services, and projects are driving cloud spend.
Compute rightsizing and commitment planning through Savings Plans and Reserved Instances.
Spot Instance automation for fault-tolerant and interruptible workloads.
Storage tiering, retention rules, and lifecycle policies.
Serverless and container architecture changes that reduce idle capacity.
AWS FinOps reporting, allocation, forecasting, and cost governance.
Cost optimization often uncovers broader opportunities to modernize workloads and improve governance:
The highest AWS partner tier, held since December 2024.
Generative AI, Migration and Modernization, Managed Service Provider, DevOps, Small and Medium Business, and Healthcare.
Backed by 200+ AWS certifications across the team.
Through our partnership with AWS, eligible companies may receive partial or full funding for an approved proof of concept, depending on projected AWS consumption and project scope. Eligibility is assessed during the discovery call.
Tagging, allocation, forecasting, and anomaly alerts keep spend accountable after the sprint.
Governance and monthly reviews stop costs from creeping back as usage grows.
A pricey SaaS ML platform was draining OpEx; Masterworks needed 200 donor-propensity models moved to AWS in just eight weeks without slowing its lean dev team
Avahi rebuilt the pipeline on Amazon SageMaker with Matillion-to-S3 ingest, auto-training workflows, and IaC-driven right-sizing, completing cut-over a week before the contract expired
75 % reduction in hosting & licensing costs
200 models migrated and live on AWS
Cut-over finished 1 week early, zero downtime
New serverless stack scales on-demand and meets least-privilege IAM standards
AWS cost optimization is the ongoing process of aligning cloud spending with actual business and workload requirements. It can include rightsizing, Savings Plans, storage tiering, resource scheduling, and architecture changes. Effective optimization should reduce AWS costs without weakening performance, security, or availability.
AWS FinOps is a collaborative approach to AWS cost management involving engineering, finance, procurement, and business leaders. It uses practices such as resource tagging, cost allocation, budgeting, forecasting, and anomaly detection to make cloud spending more visible and accountable.
Optimization work is planned to minimize disruption. Changes are tested, staged, and scheduled around workload requirements, with rollback procedures in place for production environments.
Some savings can appear as soon as unused resources are removed or workloads are rightsized. Commitment-based savings and architecture changes may take longer. We estimate the potential savings, implementation effort, and expected timeline during the initial assessment.
We offer flexible pricing, including fixed-fee and success-based models.
Yes. We provide AWS FinOps workshops, governance guidance, and practical runbooks covering tagging, budgeting, cost allocation, anomaly management, and optimization reviews.
AWS cost optimization services reduce cloud spend by identifying idle resources, oversized infrastructure, inefficient storage, unused commitments, and workloads suited to Spot Instances or serverless architecture. The best opportunities depend on your usage patterns, application requirements, and existing AWS pricing commitments.
