Reserved Instances and Spot automation cut compute costs immediately.
More regions and AZs bring apps closer to users for lower latency.
From serverless to AI, AWS lets teams launch new features in days.
We align business goals, map dependencies, and size savings with a detailed readiness report.
2.Multi-account, secure AWS architecture built on Well-Architected best practices and compliance guardrails.
3.Automated waves using AWS Migration Hub, SMS, and Database Migration Service ensure cutovers with near-zero downtime.
Post-move tuning, cost governance, and 24 × 7 support maximize ROI and keep improvements rolling.
CIO, BrightCare Health
150 + cross-cloud migrations delivered
95 % of projects hit or exceed cost-savings targets within three months
Rising Azure fees and limited service depth hindered growth.
Avahi’s Jumpstart program ingested three years of transaction data, fine-tuned Titan embeddings, and deployed a SageMaker MLOps pipeline.
Annual savings of $600 K, query latency down 30 %, and new analytics features launched two months ahead of schedule.
Sky-high Azure GPU costs and 30-second model latencies threatened Sanas’s next product launch.
Avahi ran a MAP-funded cut-over - DataSync + Terraform landing zone + ECS auto-scaling, moving 150 M files and the entire ML pipeline to AWS in just 7 days with zero downtime.
150 M assets migrated, 50 % faster than plan
Zero downtime during cut-over and model training
New multi-AZ GPU stack cuts inference latency 6×
Projected 45 % OpEx savings from Spot & Savings Plans
Cutovers are scheduled during low-traffic windows and validated in staging first, so users stay unaffected.
Yes. We design VPN and Direct Connect links for phased migrations and ongoing data sync.
AWS guardrails and Avahi’s security patterns embed encryption, logging, and least-privilege IAM from day one.
Engagements are milestone-based; extend support only as long as you need it.
A migration expert will reach out within one business day.
