AWS & DevOps services

AWS Serverless Modernization

Design and implement event-driven and serverless workloads with explicit state, integration, security, observability, cost, and failure boundaries.

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Scope

What this service can cover

The exact implementation follows the environment and the signed scope. These are the technical workstreams most often composed for AWS Serverless Modernization.

01

Workload decomposition

Identify functions, APIs, events, queues, workflows, state, ownership, and the cases that should remain on another runtime.

02

AWS service design

Apply Lambda, API Gateway, EventBridge, SQS, SNS, Step Functions, DynamoDB, and managed integrations where justified.

03

Security and delivery

Define least-privilege roles, data controls, concurrency, deployments, aliases, canaries, and rollback.

04

Failure and cost engineering

Design idempotency, retries, dead-letter handling, observability, quotas, performance, and cost visibility.

Work products

What the client receives

  • Event and service architecture
  • Infrastructure and application implementation
  • CI/CD, observability, and failure controls
  • Load evidence, runbooks, and handoff
Delivery approach

From current state to client-owned handoff

01

Discover

Map workloads, dependencies, data, access, operating constraints, business windows, and accountable owners.

02

Plan waves

Choose workload treatment, landing requirements, sequence, validation, rollback, and cutover criteria.

03

Move and test

Implement foundations and workload changes, rehearse the path, migrate in bounded waves, and verify behavior.

04

Stabilize

Close cutover issues, confirm monitoring and ownership, document the result, and hand off the next backlog.

Ways to engage

Match the commercial model to the work

Defined project

Professional Services & Consulting

Fixed fee or time and materials for a scoped outcome, implementation, acceptance, and handoff.

 Recurring capacity

Managed DevOps / Support & Advisory

Monthly business-hours engineering capacity against a shared Jira backlog.

 Clarify first

Assessment Programs

Use a focused diagnostic when the current state or right next step is not yet clear.
Related paths
AWS ModernizationAssess and sequence application, runtime, database, delivery, and operating-model modernization on AWS. Generative AI on AWSQualify and build generative AI applications on AWS with retrieval, agents, evaluation, human review, data controls, and observable failure handling. GitHub Actions and CI/CDDesign and implement secure GitHub Actions workflows for build, test, infrastructure, promotion, deployment, and release evidence.
FAQ

Scoping AWS Serverless Modernization

Is rehosting assumed?

No. Workload treatment follows dependency, risk, support, economics, operating model, and business timing rather than a default migration pattern.

How are migration waves chosen?

Waves are organized around application and data dependencies, landing prerequisites, change windows, validation, rollback, and accountable owners.

What happens after cutover?

The scope includes the agreed stabilization, validation, documentation, ownership transfer, and follow-up backlog rather than ending at data movement alone.

Bring the environment and the decision you are facing.

Use the free hour to work through the current state and identify a useful next step before you commit to a project.

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