Move, rebuild and modernize existing systems
Migrate on-premise, colocation, and legacy cloud workloads to modern infrastructure with minimal business downtime and zero data loss.
Unplanned "big-bang" cutovers over a weekend, migrating dirty data without cleanup, ignoring network bandwidth constraints, and unverified rollbacks.
Assess your organization's preparation before initiating services in Cloud Migration & Modernization:
Move production workloads to the cloud with phased waves, automated testing, and zero data loss.
Move applications, data, and infrastructure to cloud platforms with a planned approach to risk and downtime. We assess dependencies, prepare the target environment, test, and support cutover.
Migrate servers, databases, and apps to AWS using proven landing zones and automation.
Move suitable workloads to AWS or improve workloads already there. We plan the migration approach, dependencies, data transfer, testing, and transition to ongoing operations.
Seamless workload and data migration to Microsoft Azure with enterprise governance built-in.
Move applications, servers, databases, or services to Microsoft Azure. We help plan target architecture, execute the migration, validate results, and address post-migration issues.
Migrate high-throughput apps and data pipelines to Google Cloud without disruption.
Move supported workloads and data to Google Cloud. We plan connectivity, data transfer, application changes, testing, and the transition to production.
Move web apps and databases to modern hosting with zero user interruption and clean DNS switchover.
Move a website or application to a new host, cloud provider, or architecture. We account for files, databases, configuration, domains, integrations, and user impact.
Transfer relational and NoSQL databases with continuous replication, zero data loss, and schema checks.
Transfer databases between servers, platforms, or database engines while protecting data integrity. The plan covers compatibility, data movement, validation, and cutover.
Transition physical and virtual machines into resilient, autoscaling cloud infrastructure.
Move workloads from physical or virtual servers into cloud infrastructure. We assess dependencies and select a migration path that fits performance, availability, and cost requirements.
Decommission legacy data centers and transition mission-critical workloads on time and on budget.
Plan and execute the relocation of workloads from a data center to another facility or cloud environment. This includes dependency planning, sequencing, testing, and operational handover.
Relocate multi-cloud workloads between AWS, Azure, and GCP with minimal re-architecture.
Move workloads or data from one cloud provider or environment to another. We plan service equivalents, architecture changes, data transfer, validation, and cutover.
Upgrade older codebases and architectures into maintainable, scalable, cloud-ready applications.
Improve older applications so they are easier to maintain, secure, scale, and integrate with modern systems. The approach may range from targeted updates to substantial redesign.
Deconstruct monolithic bottlenecks into clean, independently deployable domain services.
Break selected parts of a large application into independently deployable services when the business and technical case supports it. We plan service boundaries, data ownership, communication, and rollout carefully.
Containerize legacy applications with Docker and Helm for reliable, reproducible deployments.
Package an existing application into containers to improve deployment consistency and portability. We identify dependencies and adapt startup, configuration, storage, and networking where needed.
Swap unmanaged servers for managed databases and cloud runtimes without full rewrites.
Move an application to the cloud while making a limited set of changes to use a better-fitting platform or managed service. This balances modernization benefits with migration effort.
Re-architect application backends to unlock cloud-native elasticity, resilience, and speed.
Restructure an application to take better advantage of cloud capabilities. Refactoring can improve scalability, resilience, maintainability, or delivery speed but generally requires more change than a simple move.
Plan zero-downtime cutovers with live replication, staged traffic shifts, and instant rollback safety.
Plan a transition designed to keep a service available while systems or data move to a new environment. The method depends on the application and may use replication, staged cutover, and rollback preparation.
Align executive priorities, security standards, and team skills for a clear cloud roadmap.
Create a practical plan for introducing cloud services across your organization. It covers priorities, governance, skills, security, architecture, and a staged implementation path.
Fine-tune compute, storage, and networking post-migration to lower bills and boost speed.
Review a system after migration to resolve issues and improve performance, reliability, security, and cost. We check whether the new environment meets the goals established before the move.
Speak directly with a Principal Cloud Architect. We will review your infrastructure requirements and deliver a written Statement of Work.