The client’s existing containerized workloads were independently handled across cloud accounts on AWS and GCP.
This led to fragmented infrastructure management, inconsistent governance practices, and rising operational costs while allowing the team to function with autonomy.
The lack of a centralized DevOps framework limited standardization in infrastructure provisioning, deployment practices, and operational monitoring across services.
The client needed to modernize its cloud infrastructure by migrating 60+ services and databases to a centrally governed platform that could support standardized DevOps processes, improved cost control, and stronger compliance.
The migration process also included consolidating existing data stores such as DynamoDB, RDS, PostgreSQL, and other services under a unified infrastructure and governance model.
This large-scale multicloud migration used a hybrid strategy: lift-and-shift approach for straightforward workloads and targeted modernization for complex services.
They expected accelerated migration execution while adhering to DevOps best practices for automation, governance, operational resilience, and cost optimization.
We began with a migration assessment using our DART (Discover–Assess–Recommend–Transform) framework to evaluate application dependencies, infrastructure requirements, and migration risks.
Based on these insights, we designed a strategic migration plan aligned with the proposed hybrid migration approach and DevOps operating model.
We migrated the services and databases to a centrally managed AWS EKS-based Kubernetes platform, enabling standardized container orchestration and governance.
We further implemented Infrastructure as Code (IaC) to provision and manage infrastructure consistently across environments, strengthening DevOps automation.
The automation enabled the engineering teams to provision, modify, and validate infrastructure through code-driven workflows, reducing manual effort and ensuring reliable deployments with minimal downtime.
Through our Product Intensive Engineering (PIE) methodology, we embedded DevOps governance using agile maturity metrics to track progress, enforce accountability, and ensure on-time delivery throughout the migration cycle.
