Modernize the applications, data, and controls your AI workloads depend on.
Direct answer
AWS migration should modernize the platform that AI will run on.
Cloud modernization is not only moving applications to AWS. For AI programs, it means event-driven data flows, secure identity boundaries, observability, cost controls, resilient deployment pipelines, and governance patterns that support Bedrock, SageMaker, analytics, and agent operations.
AI Exposes the Limits of Legacy Systems
AI workloads expose practical infrastructure gaps: inaccessible data, tightly coupled applications, manual releases, incomplete monitoring, and unclear access boundaries.
A modernization assessment identifies which constraints matter to the selected workload and which systems should be migrated, re-platformed, re-architected, or retained.
The result is a sequenced plan tied to application dependencies, business risk, testing, and cutover needs.
From Static Infrastructure to Adaptive Platforms
Cloud architecture should match the operating needs of each workload rather than follow a single migration pattern.
For data and AI workloads, the design may need to:
- Adjust capacity as demand changes
- Integrate across services and data sources
- Support tested, repeatable releases
- Apply the identity, network, data, and approval controls your team defines
Discovery determines which of these requirements apply and how they will be tested.
Modernization with a System-Level View
Tactical Edge maps the business workflow, application dependencies, data movement, controls, and operating ownership before choosing a migration path.
Cloud-native and hybrid architectures
Deployment boundaries selected for your application, data, network, and operating requirements
Modular, loosely coupled services
Service boundaries that let teams release and operate components independently where useful
Infrastructure designed for observability and control
Logs, metrics, traces, dashboards, and operating alerts selected for the workload
Security designed into deployment
Identity, network, data, and application controls defined for the target environment
Alignment with data, analytics, and AI system requirements
Compute, storage, networking, and data services selected from measured workload needs
Infrastructure That Supports Intelligent Systems
AI workloads can have different data, latency, capacity, and cost patterns from the applications already in your estate.
We design the AWS environment to:
- Run the required data pipelines and analytics workloads
- Apply defined controls to generative and agentic systems
- Integrate with enterprise identity and access controls
- Support continuous monitoring and governance
We test these requirements before each rollout phase and record the results for the operating team.
Test the Controls That Matter
The target environment should meet the security, resilience, recovery, monitoring, and compliance requirements your organization sets for the workload.
The implementation plan can include:
- Identity, network, data, and application controls
- Resilience, backup, recovery, and rollback tests
- Clear separation of environments and workloads
- Observability across infrastructure and applications
- Control evidence mapped to applicable customer requirements
Measures for the Modernization Program
Need purpose-built software as part of the modernization?
For selected workflows, build original custom software from your requirements and data you control.
Explore Moonshot MigrationsFrequently Asked Questions
Cloud modernization updates applications, data platforms, delivery pipelines, and operating practices to use cloud capabilities where they fit. The plan may include migration, re-platforming, re-architecting, or retaining parts of the current estate based on business and technical requirements.
Discovery gives you a timeline based on estate size, application dependencies, data, security controls, testing, team readiness, and cutover needs. Tactical Edge delivers in phases, with clear success measures and a rollback plan for each release.
We build the business case from your current infrastructure, licensing, labor, resilience, migration, and operating costs. Then we measure cost, delivery speed, reliability, and new capabilities against the targets you set.
Yes. Tactical Edge is an AWS Advanced Tier Services Partner with the AWS Migration and Modernization Competency. We assess dependencies, design the target architecture, plan migration waves and rollback paths, execute the migration, and test performance, cost, resilience, and security controls against agreed requirements.
See how cloud modernization enables data, AI, and agentic systems