Replatforming
Replatforming: Evaluate. Modernize. Optimize.
Not every app needs a full rewrite. Datafyze’s Replatforming service analyzes your workloads and maps them to the ideal cloud platform—whether PaaS, containers, or serverless functions—so you gain modern capabilities with minimal code changes.
Key Capabilities
Platform Assessment
Compare PaaS services, container orchestration, and serverless options against your application requirements.
Container & Orchestration Design
Architect Docker/Kubernetes patterns when containers are the optimal middle ground between VM lift-and-shift and full serverless.
API Enablement
Wrap legacy endpoints with modern APIs and service meshes to integrate seamlessly with cloud services and microservices ecosystems.
Migration Strategy
Define lift-tinker-shift plans: minimal code adjustments to unlock cloud-native features like auto-scaling and managed services.
Serverless Function Adoption
Identify event-driven components well suited for FaaS, reducing operational overhead and cost.
Proven Outcomes
60% faster delivery of new features by leveraging PaaS and serverless services.
35% reduction in operational overhead through managed platform services.
Improved resilience and auto-scaling by containerizing key microservices.
FAQs
What is application replatforming?
Replatforming moves applications to cloud platforms (PaaS, containers, or serverless) with minimal code changes, unlocking managed services and scalability without a full rewrite.
How do you choose between PaaS, containers, and serverless?
We evaluate factors like performance requirements, operational overhead, and cost models to match each workload with the cloud service that delivers maximum value and agility.
Will replatforming impact application availability?
Our phased approach—sandbox testing, staggered cutovers, and automated rollback—ensures continuous availability while transitioning to the new platform.