Cloud Migration & Application Development
As an AWS Migration Partner, we move legacy infrastructure to AWS and modernize your applications with minimal disruption and controlled costs.
Expertise Offer
Migration Strategy & Execution
Readiness assessments, migration planning, and end-to-end delivery from lift-and-shift to full re-architecture.
Cloud-Native Development
Microservices, containers, and serverless applications built for scale and maintainability.
DevOps & Automation
CI/CD pipelines, infrastructure-as-code, and developer tooling that accelerates every release.
Database Modernization
Legacy database migration and re-platforming to RDS, Aurora, and DynamoDB.
How We Work
Assess
We evaluate your current infrastructure, application portfolio, and total cost of ownership. You get a clear migration strategy, risk map, and business case for AWS, built on the AWS Migration Readiness Assessment framework.
Mobilize
We address readiness gaps, set up your AWS landing zone, and run pilot migrations to validate the approach. Security, networking, and governance are locked in before anything moves.
Migrate & Modernize
We execute workload migrations at scale, tracking progress through AWS Migration Hub. Each workload is validated against the cost and performance targets defined in Phase 1. We close with full documentation and a knowledge transfer.
Related AWS Services
Success Stories
Practical insights, real-world case studies and technical perspectives.
Modernizing Microservices, Data, and Delivery: ADN’s Cloud Transformation Story
Animation Digital Network partnered with TrackIt to modernize its AWS architecture, migrating microservices, centralizing data, and improving scalability, performance, and global content delivery through a cloud-native approach.
Sinfin: Client Case Study
Sinfin modernized its infrastructure with TrackIt by containerizing workloads on AWS, improving scalability, deployment speed, and operational efficiency.
Avant-Garde (AGMS): Client Case Study
Avant-Garde migrated to AWS with TrackIt, improving scalability, reliability, and operational efficiency.
