Move existing workloads from on-premises or legacy data centres to Azure, AWS, or Google Cloud with minimal code changes. We perform dependency mapping, capacity planning, and a parallel-run validation before final cut-over ensuring business continuity throughout.
Migrate SQL Server, MySQL, PostgreSQL, Oracle, or MongoDB to managed cloud-native equivalents (Azure SQL, Amazon RDS, Cloud SQL). We handle schema conversion, data validation, replication lag optimisation, and rollback procedures delivering a certified zero-data-loss migration.
Re-platform or re-architect legacy monolithic applications into cloud-native microservices or containerised workloads. We leverage Docker, Kubernetes, and Azure Kubernetes Service (AKS) to deliver scalable, resilient application stacks with CI/CD pipelines from day one.
Before we migrate a single byte, we build a detailed Total Cost of Ownership model comparing your current infrastructure spend versus your projected cloud spend broken down by compute, storage, licensing, and operational overhead so leadership can make an informed decision.
Post-migration, our FinOps practice continuously right-sizes compute resources, identifies idle assets, applies reserved instance savings plans, and enforces tagging policies typically reducing cloud spend by 2540% within 90 days of go-live.
Migrations introduce new attack surfaces. We apply landing-zone security baselines (CIS benchmarks, Azure Security Benchmark), configure network segmentation, enable logging and SIEM integration, and validate DPDP / ISO 27001 alignment before handing over to your team.
Discovery, dependency mapping & TCO analysis
Architecture design & migration wave planning
Staged migration with parallel validation runs
FinOps tuning, security hardening & handover
Our migration architects will assess your current environment and deliver a zero-risk migration roadmap free of charge.
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