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Transforming Fragmented Multicloud Operations into a Governed and Scalable DevOps Platform

Software & Hi-Tech
Posted On: 6 March, 2026

About the Client

  • The client is a next-generation intelligent energy platform that provides SaaS solutions that enable energy suppliers modernize their operations.​
  • Headquartered in the UK, the client has its presence across continents.​
  • They serve millions of energy customers while driving decarbonization at scale.​

Business Needs | Unifying Fragmented Multicloud Infrastructure Through Large-Scale Migration

  • 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.​
  • The distributed cloud landscape also limited end-to-end visibility across services, making it difficult to monitor performance and maintain consistent operational oversight.
  • Different teams followed varying deployment and operational practices, creating inconsistencies that hindered scalability and increased management complexity.​​

Solutions | Migrating and Modernizing Services to a Centrally-Governed AWS EKS Platform​

  • 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.​
  • The engagement introduced GitOps-driven deployment processes, automated CI/CD workflows, centralized observability, and Infrastructure-as-Code practices to improve operational control and strengthen 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 PIE methodology, we embedded DevOps governance using agile maturity metrics to track progress, enforce accountability, and ensure on-time delivery throughout the migration cycle.
  • The solution established a secure multi-account AWS environment with VPC-based network isolation, IAM controls, and standardized governance practices, creating a scalable and resilient foundation for future growth.

Business Impact | Accelerating Delivery and Standardizing Operations Through Migration and Modernization

  • Successfully migrated nearly 60 services and databases to the unified platform by following a scientific and phased execution approaches.​
  • Achieved consistent DevOps practices across environments by automating infrastructure provisioning and deployment workflows thus improving operational reliability and deployment efficiency.
  • Strengthened governance and streamlined infrastructure through a centralized platform, reducing complexity, optimizing costs, and enabling a scalable DevOps foundation.
  • Reduced operational overhead and improved developer productivity through automation, standardized workflows, and centralized platform management.

Technology Stack

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