Cloud Cost Optimization & FinOps for SaaS

Where We Find Savings

Cloud cost optimization isn't about turning things off or degrading SLAs. It's about running the right infrastructure at the right size, in the right purchasing model, with high-efficiency modern architecture.

• Compute & Kubernetes: EC2 rightsizing, EKS node optimization, Karpenter dynamic consolidation, Spot diversification, and Graviton ARM64 migration.
• AI & GPU Inference Infrastructure: High-throughput model serving optimization (vLLM, Triton), GPU time-slicing/MIG, Karpenter GPU autoscaling, and AWS Inferentia2 adoption (Learn more about AI Inference).
• Containers & Microservices: Pod resource requests and limits tuning, eliminating CPU throttling and OOMKills, and compressing node fleet size.
• Storage & Data: Zero-downtime gp2 to gp3 conversions, automated EBS snapshot lifecycle policies, S3 lifecycle transitions, and unattached volume pruning.
• Database & Caching: Amazon RDS/Aurora rightsizing, Graviton upgrades, read-replica scaling, and idle dev cluster scheduled shutdowns.
• Networking & Data Transfer: Cross-AZ data transfer traffic patterns, idle NAT Gateways, and Free VPC Gateway Endpoints for S3 and DynamoDB.
• Purchasing & Commitments: Paced, tiered Savings Plans and Reserved Instances modeling to prevent expensive overcommitment traps.

The FinOps Engineering Methodology

FinOps is an operational practice bridging engineering, finance, and product. We implement end-to-end FinOps governance directly into your cloud architecture:

• Visibility & Unit Economics: Move beyond aggregate AWS monthly invoices to track cost per active customer tenant, cost per API request, and cost per million inference tokens.
• Automated Tagging Governance: Enforce standardized metadata using AWS Organizations Tag Policies and Terraform default_tags so 100% of resources are allocated.
• Anomaly Detection & Alerting: Deploy machine-learning AWS Cost Anomaly Detection monitors connected directly to engineering Slack channels to catch bill shocks within hours.
• CI/CD Cost Visibility: Integrate Infracost pull request checks so developers see the financial impact of infrastructure code changes before merging.

Security & Compliance Requirements First

Cost reduction must never undermine your security posture or compliance obligations. Every optimization we propose is strictly evaluated against production safety, SOC 2, HIPAA, and CIS benchmark baselines:

• Zero Compromise on Encryption & Redundancy: We maintain required multi-AZ redundancy, automated backups, and KMS envelope encryption across all storage and databases.
• Least-Privilege IAM & Network Policies: Optimization changes preserve strict network segmentation, private VPC endpoints, and role-based access control.
• Safe, Non-Disruptive Implementation: Rightsizing and Spot workloads are tested in staging before production rollout with zero planned downtime.

Get Started

Start with our Free CloudSpend™ Snapshot to get an automated 48-hour waste audit, or engage our senior team for a fixed-fee CloudSpend Reset.