DevOps & AWS Fundamentals
Containers, automation and the fundamentals of AWS cloud architecture.
Learn more →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.
We analyse workloads, requirements and the current environment.
We prepare the target AWS architecture and migration plan.
We migrate workloads in phases, without disruption.
We continuously improve security, performance and cost.
Containers, automation and the fundamentals of AWS cloud architecture.
Learn more →CI/CD, model versioning, monitoring and data drift, plus LLMOps for LLM applications: keeping models reliable in production.
Learn more →RAG architectures, agents and MCP, output evaluation, security and on-premise LLM deployment.
Learn more →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.
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.
Through cost analysis we identify unused resources, oversizing and savings opportunities, and recommend optimisations.
Migration is planned in phases and carried out to minimise disruption.
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 →Tell us about your training, consulting or software needs and we will get back to you within 2 business days.