AIGALGOAI-Native Systems

Industries

Enterprise IT and cloud transformation

Evaluate existing systems, plan modernization, improve cloud architecture, and find sound places for intelligent automation.

Legacy systems migrating to a layered cloud platform with API, services, and data layers.

Where the work usually starts

01

A current-state assessment people can trust

02

A target architecture and a migration sequence

03

Dependency mapping before a cutover

04

Intelligent automation only where it earns its place

Questions

Where does an engagement start?
With the existing systems: a current-state assessment, dependency mapping, and a target architecture. Migration sequencing follows that picture, not a platform chosen in advance.
What is the technical focus?
Current-state assessment, target architecture, dependency mapping, migration sequencing, platform engineering, reliability, and cost analysis.
Can you help with legacy modernization?
The first step is to understand the existing system, its dependencies, operational constraints, and business criticality. Options may include targeted refactoring, modularization, API enablement, incremental replacement, platform migration, or selective re-engineering.
Is every workload moved to Kubernetes?
No. The right deployment model depends on workload characteristics, availability requirements, operational capability, security constraints, scaling behavior, and cost.