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PoC Works (Cloud and DevOps Consultancy)

Arvato

  1. Project Scope: Proof of Concept (PoC) for Azure platform services, including IaaS and PaaS.
  2. Challenges: Evaluating Azure services for potential scalability and flexibility to meet business needs.
  3. Solution: Delivered a comprehensive PoC using Azure’s IaaS and PaaS capabilities to demonstrate the platform’s flexibility and cost efficiency.
  4. Outcome: Arvato gained confidence in Azure’s ability to meet their needs and began planning a larger-scale deployment.

TAV

  1. Project Scope: Openshift and Jenkins integration for streamlined CI/CD processes.
  2. Challenges: Optimizing the CI/CD pipeline for faster deployments and ensuring compatibility between Openshift and Jenkins.
  3. Solution: Deployed Jenkins for automated CI/CD in Openshift environments, ensuring compatibility and optimizing deployment times.
  4. Outcome: Faster release cycles and improved workflow efficiency

TEV

  1. Project Scope: PoC on Azure platform utilizing IaaS and PaaS for optimized cloud infrastructure.
  2. Challenges: Assessing the feasibility of Azure’s IaaS and PaaS solutions for long-term scalability.
  3. Solution: Created a detailed PoC to demonstrate how Azure’s IaaS and PaaS offerings could streamline operations and reduce costs.
  4. Outcome: TEV gained insights into cost optimization and performance improvements using Azure.

Moribik

  1. Project Scope: Alibaba Cloud Kubernetes deployment PoC.
  2. Challenges: Evaluating Alibaba Cloud for its Kubernetes capabilities in a cost-effective and scalable manner.
  3. Solution: Implemented Kubernetes on Alibaba Cloud and evaluated its performance and scalability for production environments.
  4. Outcome: Moribik found Alibaba Cloud to be a viable option for future deployments, with promising scalability results..

Coiltech

  1. Project Scope: GCP Vertex AI and Data Analytics PoC.
  2. Challenges: Leveraging AI for data-driven decision-making while maintaining efficient data analytics.
  3. Solution: Conducted a PoC using GCP Vertex AI and data analytics tools to demonstrate how AI could streamline operations and enhance decision-making processes.
  4. Outcome: Coiltech experienced improved data processing capabilities and adopted AI-driven insights for their business operations.

Yıldırım Holding

  1. Project Scope: GCP Vertex AI and Data Analytics PoC to improve operational efficiency.
  2. Challenges: Demonstrating the impact of AI and advanced data analytics on existing workflows.
  3. Solution: Deployed GCP Vertex AI and data analytics solutions to showcase the potential of AI-driven insights for improving operational efficiency.
  4. Outcome: Yıldırım Holding identified key areas for operational improvements and plans to expand AI initiatives across their enterprise

Note : Cloud & DevOps Engineere Team’s Resume/CV Details shared in another document

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