Consulting
Cloud decisions often stall because teams cannot see the full impact of a migration across applications, integrations, and data flows. Our consulting teams map your dependencies, identify what can move without redesign, and build a migration plan tied to your operational priorities. The result is a clear path that reduces rework and prevents unexpected downtime.
Strategic multi-cloud planning
Most organizations adopt a second cloud after a specific constraint appears: regional gaps, pricing differences, or service limitations. We structure a multi-cloud plan around these constraints, not around generic frameworks. This includes workload placement, shared governance models, network design, and identity integration across AWS, Azure, and GCP.
Application migration
Applications rarely migrate “as is.” Differences in runtimes, services, and deployment models introduce friction. We prepare applications for the target cloud, replace incompatible services, and align CI/CD workflows with the new environment. This ensures that critical workloads restart cleanly and behave as expected from day one.
Application modernization and decoupling
Many workloads run into portability issues because they depend on tightly coupled components or legacy interfaces. We separate these components, redesign service boundaries, and modernize architectures where needed. This gives you applications that move more freely between providers and scale without hidden limits.
Mission-critical data transfer
Large databases, analytics platforms, and operational data stores often carry the highest risk in any migration. We design a transfer process built around consistency, cutover time, and rollback safety. This includes schema alignment, pipeline reconstruction, and validation steps that confirm data integrity before the final switchover.
Unified security and governance
Security models diverge across cloud providers. Identity roles, network boundaries, and monitoring tools rarely map one-to-one. We standardize governance across AWS, Azure, and GCP, build consistent IAM policies, and align every workload with your compliance requirements. This reduces exceptions and restores predictability to day-to-day operations.
Cloud cost optimization (FinOps)
Costs drift during migrations because workloads behave differently in the target environment. We track these shifts, analyze usage patterns, and redesign infrastructure to match real consumption. This includes rightsizing, storage tiering, reservation planning, and building a cost governance model that continues to work after the migration is complete.
Cloud platform consolidation
Organizations with several cloud accounts or legacy setups often face fragmentation: duplicated services, inconsistent access, and parallel monitoring systems. We consolidate these environments into a coherent structure, retire unused components, and create a unified operating model. This helps teams work with one clear view of their entire cloud footprint.
Flexibility where you need it
Workloads don’t have to stay put. Applications can run where performance, cost, or compliance fits best. Teams can shift resources without redesigning systems or pausing operations.
Scale on demand, not by guesswork
Cloud resources expand and contract automatically. Applications handle peak loads without manual provisioning. Idle times don’t waste money, and spikes don’t break performance.
Resilience by design
Downtime becomes a choice, not a risk. Multi-cloud deployments and automated disaster recovery reduce single points of failure. Data and services stay available when one environment faces an issue.
Governance made consistent
Fragmented clouds create gaps in security, access, and compliance. Unified policies across workloads make monitoring, auditing, and regulatory alignment straightforward. Operations become predictable and controlled.
Industries We Serve
Our experience spans multiple industries where we’ve learned what truly drives results and what pitfalls to avoid when managing data at scale.
