AWS consulting.Migrate faster.Spend less.

An on-premises to AWS migration starts with inventory and utilization data, then a landing-zone design, pilot workloads, and phased waves. Teams often combine lift-and-shift rehosting for speed with selective re-platforming for databases and critical apps, using tools such as AWS Application Migration Service and AWS Database Migration Service (DMS).

Lift and shift (rehost) moves servers to Amazon EC2 with minimal code change for a fast cloud migration to AWS. Modernization (replatform or refactor) redesigns parts of the stack for managed services, autoscaling, and lower long-term cloud infrastructure costs. Many programs use both: migrate first, then optimize.

AWS cost optimization starts with rightsizing EC2 and databases, deleting idle resources, applying Savings Plans or Reserved Instances for steady usage, moving cold data to cheaper storage classes, and governing spend with AWS Cost Explorer, Budgets, and FinOps reviews so you continuously reduce AWS costs without hurting uptime.

AWS cost optimization is the practice of matching cloud capacity to real demand. FinOps adds financial accountability - engineering, finance, and leadership share visibility into unit costs, forecasts, and waste. Together they lower server costs on AWS while keeping teams free to ship features.

Savings vary by estate, but organizations that rightsize aggressively, buy the right commitments, and fix storage or data-transfer waste often cut cloud spend substantially within the first one to two quarters. A baseline TCO comparison against on-premises or current AWS invoices clarifies expected AWS cost reduction before work begins.

A focused application or database migration can complete in weeks. Enterprise cloud migration consulting programs with dozens of servers usually run in waves over several months, with clear rollback plans, security baselining, and cost checkpoints after each wave.

Yes. We plan and execute AWS database migration for engines such as MySQL, PostgreSQL, SQL Server, and Oracle using AWS DMS, native replication, and validation cutovers. The goal is minimal downtime, data integrity, and a rightsized target that supports AWS cost optimization from day one.

Both. If you already run on AWS, we audit EC2, RDS, storage, networking, and unused services, then implement an AWS cost reduction plan - Compute Optimizer recommendations, scheduling, Savings Plans coverage, and tagging for chargeback - so you lower cloud server costs without a full re-migration.

A Well-Architected Framework review examines your workloads across security, reliability, performance, operational excellence, and cost optimization. The cost pillar highlights overprovisioning, missing automation, and commitment gaps so your AWS consulting partner can prioritize the highest-ROI fixes.

Yes. Our Pune-based team delivers AWS migration, cost optimization, and DevOps for US and India enterprises. Engagements include clear SLAs, overlapping US coverage hours, and certified Solutions Architects accountable for outcomes.

For many workloads, yes. Replication, blue-green environments, canary traffic shifts, and carefully timed DNS cutovers keep users online during cloud migration to AWS. We size the approach to your RTO/RPO targets and compliance needs.

Savings Plans and Reserved Instances discount steady-state compute compared with On-Demand pricing. After rightsizing, we model coverage so commitments match real usage - avoiding overbuy - which is one of the fastest ways to reduce AWS costs on production EC2 and Fargate workloads.

A strong business case compares current on-premises or cloud spend with projected AWS run-rate after rightsizing, licensing options (BYOL vs license-included), data-transfer costs, and operational savings. That TCO view helps leadership approve AWS migration services with clear expected ROI.