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01Scoped projects, delivered end to end

Professional Service

Our Professional Service practice partners with your team to design and deliver cloud-native solutions that scale with your business. From discovery workshops through to production readiness, we provide the expertise to modernize workloads, build resilient architectures, and embed automation across your delivery pipeline. Engagements typically blend strategy sprints, hands-on engineering, and enablement so your product teams can sustain momentum long after launch.

Cloud migrations · DevOps automation · Data & AI · Kubernetes

Engagement model
Fixed scope & milestones
Typical duration
4–16 weeks
Professional Service
Faster time to production
40%
Increase in deployment frequency
3x
Infrastructure as Code adoption
100%
Scope of Work Includes

What we deliver

  1. 01

    Migrate workloads from on-premises or other clouds to AWS

    Design migration roadmaps, build landing zones, and execute phased cutovers that minimize downtime while modernizing security and operations.

  2. 02

    Run holistic AWS account and architecture assessments

    Audit configurations, cost, and compliance posture, then produce actionable remediation plans aligned to the AWS Well-Architected Framework.

  3. 03

    Implement enterprise data platforms with pipelines and BI

    Deliver ingestion, transformation, governance, and analytics layers so stakeholders have trusted insights across the business.

  4. 04

    Engineer resilient Kubernetes orchestration platforms

    Stand up managed Kubernetes on EKS with GitOps, observability, and automated rollouts that unlock reliable microservice delivery.

  5. 05

    Integrate IoT devices securely with AWS services

    Connect fleets via AWS IoT Core, enforce device security, and stream telemetry into data lakes and real-time analytics pipelines.

  6. 06

    Establish production-ready MLOps foundations

    Create repeatable model pipelines, feature stores, and deployment automation so data science investments reach customers faster.

  7. 07

    Activate generative AI use cases responsibly

    Prototype, evaluate, and scale GenAI assistants and content workflows with guardrails for safety, governance, and observability.

  8. 08

    Standardize infrastructure as code and CI/CD pipelines

    Codify cloud environments with Terraform, CDK, and modern pipelines that enforce policy as code and accelerate release cadence.

What you get

Core Capabilities

Core Capabilities

  • Cloud strategy assessments and migration roadmaps
  • Landing zone setup, security hardening, and compliance alignment
  • Modern application architecture and infrastructure as code implementation
  • Continuous integration and delivery automation for faster releases

Business Outcomes

  • Accelerated migration timelines with minimal business disruption
  • Robust, production-ready cloud architectures aligned to AWS best practices
  • Automated deployment pipelines that speed up time-to-market
  • Internal team enablement for independent long-term platform ownership
Best for

Teams launching a migration, platform build, data or GenAI initiative with a clear goal and deadline.

How we work

From first call to production

  1. 01

    Discover

    A free scoping call and assessment of your goals, workloads and constraints.

  2. 02

    Design

    A Well-Architected plan with clear milestones, scope and transparent pricing.

  3. 03

    Deliver

    Certified engineers build alongside your team with automation from day one.

  4. 04

    Operate & evolve

    Handover and enablement, or 24/7 managed operations with continuous optimization.

“Deliver side-by-side with certified AWS architects who build platforms that last.”