A readiness assessment
Review dependencies, security, operational readiness and the assumptions behind the business case.
04 / AWS MODERNIZATIONINDIA + ASEAN
Move to the cloud. Move the business forward.
Assess, migrate and modernize your workloads on AWS. Build for reliable operations, clear ownership and the next stage of your business.
Discuss your AWS roadmapA CONTROLLED PATH TO AWS
THE STARTING POINT
A migration should create options for what comes next.
We assess the workloads, dependencies and business reasons behind a cloud move. Then we build a practical plan for migration and modernization—sequenced around risk, readiness and what your team needs to operate afterwards.
Moving a workload does not automatically improve how it serves the business. Database choices, data quality, reporting costs and operational ownership need attention alongside infrastructure. We connect those decisions to the outcome you want from AWS.
WHAT WE DELIVER
A clear scope.
Something you can use.
A migration and modernization plan
Sequence workloads and database changes, with validation, rollback and customer sign-off at agreed gates.
A modernized workload
Implement the agreed application, database or infrastructure changes, with security controls and validation against the baseline.
A clear operating model
Define monitoring, runbooks, costs and ownership. Scope ongoing operations where your team needs continued support.
WHERE IT APPLIES
Cloud and database modernization
Assess data-centre or other-cloud workloads for AWS and evaluate suitable managed database options.
Application modernization
Review application dependencies and scope changes that improve maintainability and operational readiness.
Cloud and AI operations
Establish monitoring, runbooks, cost visibility and ownership. For open-weight AI workloads, size the compute, secure model hosting and test scaling and recovery.
SECURITY AND SAFETY
Security by design.
Safety throughout.
Protect systems and data. Evaluate how AI behaves and the consequences of its actions. Agree controls and evidence for the risks in each engagement.
Design the boundaries
Assess identity, network exposure, data protection and workload risks before choosing the target architecture.
Validate before cutover
Review configuration and dependencies, test security controls, and exercise backup, recovery and rollback against agreed requirements.
Own ongoing protection
Define patching, vulnerability response, logging and incident ownership. Apply AI safety checks to AI-enabled workloads and operational automation.
DEFINE SUCCESS FIRST
Measure the work.
Then the difference.
We agree a baseline, target, measurement method and accountable reviewer, alongside security and safety acceptance criteria. These are measures to consider, not promised results.
Verifiability in practice
Keep the assessment baseline, configuration changes and test evidence. Verify workload behaviour, cost assumptions and recovery against the agreed scope before accepting a migration or modernisation milestone.
- Application and data validation
- Reliability against agreed targets
- Operating cost against the baseline
- Operational readiness and handover
GOOD QUESTIONS
Before we begin.
Can we start with an assessment?
Yes. A readiness assessment is a useful first step when dependencies, costs or the migration path are unclear.
Do you support India and ASEAN?
Yes. Attoforce focuses on India and ASEAN, with Singapore and Hyderabad as its bases. We scope delivery and local participation to the engagement.
Is a migration funding package included?
Funding is not assumed. We can explore relevant AWS programs with your account team; qualification and approval depend on the opportunity.
How do you approach sovereign AI deployment?
Start with the required control over data, access and operations. Assess approved AWS Regions, private environments or on-premises options against those needs and local service availability. Verify data flows, operator access and recovery arrangements before agreeing the architecture.
YOUR NEXT STEP