Sita Infobytes – On-Premises to AWS Migration

Sita Infobytes helps data-driven enterprises break free from on-premises infrastructure and migrate confidently to AWS. From discovery and dependency mapping to containerizing workloads on ECS and EKS, migrating databases to RDS, moving data assets to S3, and running production compute on EC2 — our engineers execute every phase with precision and zero-disruption cutovers. Whether migrating a single critical application or a full data center, Sita Infobytes brings the structure and expertise to get you to AWS fast and safely.

What We Help You Achieve On-premises infrastructure reaching end-of-life with no clear, structured path to migrate critical workloads to AWS Migration projects stalled by undocumented dependencies, complex database schemas, and risk-averse stakeholders Legacy monolithic applications needing containerization on ECS or EKS before running reliably on AWS Data engineering pipelines locked in on-premises storage with no scalable, cost-efficient path to Amazon S3 Business continuity risk from unplanned cutovers, untested rollback procedures, and missing post-migration validation

Core Capabilities Migration Assessment & Planning — Deep discovery of on-premises environments mapping infrastructure, applications, databases, and dependencies into a validated migration plan with risk-ranked wave sequencing Compute Migration to Amazon EC2 — On-premises servers and VMs migrated to right-sized EC2 instances with performance validation, OS hardening, and high-availability configuration Database Migration to Amazon RDS — Schema conversion, data validation, replication testing, and cutover planning minimizing downtime for production database workloads Container Modernization on ECS & EKS — Legacy applications containerized and deployed on ECS or EKS enabling scalable, cloud-native workloads post-migration Data Migration to Amazon S3 — On-premises data assets, file stores, and archives migrated to S3 with lifecycle policies, access controls, versioning, and encryption Cutover Management & Validation — Production cutovers managed with detailed runbooks, rollback procedures, smoke testing, and post-migration performance benchmarking

Engagement Model Phase 1 – Discovery: Audit on-premises servers, databases, applications, network dependencies, and data volumes. You get: Infrastructure discovery report · Dependency map · Risk assessment · Wave sequencing plan · Target AWS architecture. Phase 2 – Design: Migration strategy, containerization approach, target AWS architecture, wave-by-wave plan. You get: Migration roadmap · EC2/RDS/ECS/EKS/S3 architecture · Containerization design · Cutover and rollback strategy · Data migration governance plan. Phase 3 – Migration Execution: Migrate compute, databases, containers, and data wave by wave with continuous validation. You get: Servers on EC2 · Databases on RDS · Apps containerized on ECS/EKS · Data on S3 with lifecycle policies · Performance benchmarks validated per wave. Phase 4 – Cutover & Handover: Manage production cutovers, validate all workloads, stabilize, hand over ownership. You get: Zero-disruption cutover runbook · Post-migration validation report · Full architecture documentation · Knowledge transfer session. Phase 5 – Operate & Optimize (Optional): Post-migration cost, performance, and reliability optimization. You get: EC2/RDS rightsizing · ECS/EKS tuning · S3 lifecycle governance · Ongoing monitoring and incident response. Delivery Models End-to-End — Sita Infobytes owns full migration from discovery through cutover and handover Co-Delivery — Engineers work alongside internal data and infrastructure teams following change management processes Hybrid — Flexible combination per wave complexity and team capacity Service Tracks Infrastructure Migration to EC2 — Discovery, wave planning, and server migration to right-sized EC2 with performance validation and high availability Database Migration to RDS — Schema conversion, replication, validation, and cutover to Amazon RDS with minimal production downtime Container Modernization on ECS & EKS — Legacy application containerization and deployment on ECS or EKS for cloud-native post-migration operations Data & Storage Migration to S3 — On-premises data asset migration to S3 with lifecycle policies, encryption, and enterprise governance controls