Infrastructure

AWS Consulting

We design secure, scalable and cost-efficient architectures on AWS and migrate your applications and AI workloads to the cloud. We build GenAI and machine learning solutions on Amazon Bedrock and Amazon SageMaker AI, and optimise existing AWS environments for security and cost.

What we offer

  • AWS architecture design and Well-Architected best practices
  • Application and data migration
  • GenAI and machine learning workloads on Amazon Bedrock and Amazon SageMaker AI
  • Security, identity and access management; data residency requirements (e.g. the AWS Istanbul Local Zone)
  • Cost analysis and optimisation

When you need it

  • You want to move applications or your data platform to AWS
  • Your AWS costs are higher than expected
  • You need scalable infrastructure for GenAI and machine learning workloads

How we work

  1. Discover

    We analyse workloads, requirements and the current environment.

  2. Architect

    We prepare the target AWS architecture and migration plan.

  3. Migrate

    We migrate workloads in phases, without disruption.

  4. Optimise

    We continuously improve security, performance and cost.

What you get

  • AWS architecture document
  • Migration plan and completed migration
  • Security configuration
  • Cost optimisation report

Related courses

3 days

MLOps: Taking Models to Production

CI/CD, model versioning, monitoring and data drift, plus LLMOps for LLM applications: keeping models reliable in production.

Learn more →
3 days

Building LLM Applications

RAG architectures, agents and MCP, output evaluation, security and on-premise LLM deployment.

Learn more →

Frequently Asked Questions

We have data residency requirements in Türkiye. Is AWS suitable?

It depends on the scenario. The AWS Istanbul Local Zone offers core infrastructure services, but not managed GenAI services. We recommend AWS, on-premise or hybrid according to your requirements.

Amazon Bedrock or SageMaker AI?

Bedrock usually suits fast GenAI applications on foundation models; SageMaker AI suits training and managing your own models. The choice depends on the use case.

Can you reduce our AWS costs?

Through cost analysis we identify unused resources, oversizing and savings opportunities, and recommend optimisations.

Will migration cause downtime?

Migration is planned in phases and carried out to minimise disruption.

Related articles

5 October 2026 · 4 min read

GenAI in Banking: On-Premise or Cloud?

Banks adopting GenAI must balance data localisation, security, model quality and cost. A comparison of on-premise, cloud and hybrid approaches, with a focus on Türkiye.

Read more →

Let's talk about your project

Tell us about your training, consulting or software needs and we will get back to you within 2 business days.