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Discover and assess
Inventory infrastructure and applications, map dependencies and utilization, identify compliance constraints, and build a directional business and migration case.
Evidence for scope, sequence and cost
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AWS Cloud Migration & Modernization
A cloud migration is more than copying servers. AIONDATA maps dependencies, chooses a migration path for each workload, builds the landing architecture, executes migration waves, and leaves your team with an environment it can secure, observe and operate.
Bay Area leadership · International engineering · Defined handover
Illustrative only. AWS compute, storage, database, network and migration services are selected from workload evidence—not from a default template.
THE RIGHT MOVE FOR EACH WORKLOAD
We assess business risk, dependencies, operating cost, security, performance and team capability before choosing a target architecture.
Inventory infrastructure and applications, map dependencies and utilization, identify compliance constraints, and build a directional business and migration case.
Move suitable workloads with minimal application change when timing or data-center exit is the priority, while designing the AWS foundation and recovery path correctly.
Containerize suitable services, adopt ECS or Fargate, move databases to managed services, and automate delivery where this reduces operational burden.
Use event-driven services, Lambda, managed data, caching and content delivery when the workload benefits from elastic scale, resilience or faster iteration.
PRACTICAL MODERNIZATION PATHS
These are architecture patterns, not automatic recommendations. The right answer may be to retain, update or retire a workload rather than rewrite it.
Package a suitable application as containers and move deployment, scaling and service health into a managed orchestration model.
Container readiness, persistent storage, networking, task sizing and team operating skills must be assessed first.Move bounded, event-driven or scheduled work to functions when execution shape, duration and state fit a serverless model.
Lambda is not a universal EC2 replacement; latency, duration, concurrency, state and cost profile determine fit.Place appropriate static and cacheable content closer to users, protect origins, and define cache behavior by route and data sensitivity.
Caching rules, invalidation, headers, authentication and dynamic responses require explicit design.Adopt managed backups, patching and availability where engine compatibility, performance and licensing support the move.
Schema, extensions, query behavior, replication, recovery objectives and data-migration downtime need testing.MOVE WITHOUT LOSING CONTROL
Migration is complete only when traffic, data, monitoring, recovery and ownership work in the new environment.
Applications, databases, identity, network routes, certificates, jobs and external integrations are mapped into migration waves—not treated as isolated servers.
Accounts, identity, least privilege, logging, encryption, backup and recovery requirements are established before production workloads arrive.
Right-sizing starts from utilization and load tests. Budgets, tags, alerts and review ownership help prevent avoidable post-migration spend.
A DECISION BEFORE A BUILD
Every phase ends with something your stakeholders can review before the next commitment.
Collect inventory, utilization, dependencies, service levels, security needs and business deadlines. Assign a preliminary 7R strategy.
Design accounts, identity, network, logging, security controls, infrastructure as code, migration tooling and the first wave.
Replicate or rebuild, rehearse, test application and data behavior, measure recovery, and cut over with agreed checkpoints.
Right-size, add cost controls, improve resilience, tune performance, document operations, and prioritize the next modernization step.
Upgrade, modularize or replace legacy applications before, during or independently of a cloud move.
STRAIGHT ANSWERS
We use current vendor guidance as an input, then validate the design against your workload and constraints.
It depends on the workload and deadline. Rehosting can reduce migration time, but it may carry existing operating cost and technical debt into AWS. Replatforming or refactoring can create more value but requires more testing and change. We assign a 7R strategy workload by workload rather than forcing one answer across the portfolio.
Yes, when the application fits the target. ECS or Fargate can suit containerized, long-running services. Lambda can suit bounded event-driven or scheduled functions. Some applications should remain on EC2. We assess runtime, state, storage, network, scaling, execution duration, observability and cost before choosing.
We define the account and network model, identity and access, centralized logging, encryption, backup and recovery, tagging and cost controls, infrastructure as code, environment promotion, monitoring, testing, cutover and rollback responsibilities.
We design for the lowest practical interruption using replication, staged data movement, parallel environments, rehearsals and explicit cutover checkpoints. The achievable window depends on database consistency, external integrations, DNS and certificate changes, and how the application handles parallel operation.
Eligibility, opportunity registration, funding and credits are controlled by AWS and can change. We do not promise incentives. Where relevant, we can help prepare workload scope, architecture and migration evidence for review with your AWS account team or an authorized AWS Partner.
AIONDATA does not currently claim AWS Partner status. We provide independent cloud engineering and implementation services. If your procurement or incentive path requires an AWS Partner designation, we will address that requirement transparently during discovery.
START WITH THE CURRENT STATE
A short conversation can separate a sensible first wave from an expensive rewrite. No polished brief is required.
Part of NVIDIA’s program for startups building with AI and accelerated computing.
About the program
Pravin’s experience includes Google and SmartBear. Sravan previously held leadership roles at JPMorgan Chase and First Republic Bank.
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AIONDATA is an independent services provider. Amazon Web Services, AWS and related service names are trademarks of Amazon.com, Inc. or its affiliates. No AWS partnership or endorsement is implied.