Discovery and Assessment
We begin by performing a comprehensive analysis of your current IT environment—including infrastructure, applications, databases, dependencies, performance metrics, and security configurations.
We assess your business objectives and compliance requirements to determine the right migration approach. The outcome is a migration readiness report, a risk matrix, and a detailed cloud transition strategy tailored to AWS, Azure, or GCP.
Migration Planning and Roadmap Design
Based on the assessment, we build a detailed migration plan that outlines phases, resource allocations, timelines, rollback strategies, and testing checkpoints.
We choose between rehosting, replatforming, or rearchitecting depending on the app complexity and your goals. For hybrid or multi-cloud needs, we define integrations and service distribution across providers. This phase also includes budget forecasting and cloud cost estimation.
Cloud Environment Setup
Next, we configure your new cloud environment with best practices in networking, identity and access management (IAM), encryption, storage, monitoring, and logging.
We set up cloud-native services like Kubernetes, managed databases, autoscaling, and CDNs. Infrastructure as Code (IaC) is used to ensure your environments are reproducible and version-controlled.
Migration Execution
Our engineers migrate workloads in a phased or big-bang approach, depending on your chosen strategy.
We use tools like AWS Migration Hub, Azure Migrate, and Google Cloud Migrate for VMs or databases.
We ensure all dependencies are preserved and services are validated post-migration. Live traffic cutovers are done with zero or near-zero downtime using DNS routing, replication, or load balancers.
Testing and Validation
Post-migration, we run rigorous functional, performance, and security testing to validate the migrated applications and services.
For databases, we perform consistency checks, latency testing, and backup validation. We compare application behavior between legacy and cloud environments to ensure identical or improved performance and UX.
Optimization and Cloud-Native Enhancements
Once stabilized, we optimize the cloud environment for cost, performance, and scalability.
This includes right-sizing compute resources, configuring auto-scaling, enabling caching layers, and implementing cloud-native services like serverless functions, managed queues, or AI tools. We also monitor resource utilization and implement tagging strategies for ongoing cost tracking.
