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Daniel Zilberman
Senior Technical Solutions Architect at AWS
Daniel Zilberman is a highly experienced software Solutions Architect with a track record of over 20 years in system design, development, and integration of Enterprise scale software systems running on both on-premise and Cloud infrastructures.
His expertise spans across IT, DevOps, Infrastructure as a Service (IaaS) automation, Virtualization, Cloud Native application architectures, Kubernetes platforms, Infrastructure and Application Performance Management (APM), Data Center virtualization (SDDC), and IT Process Automation/Orchestration.
Daniel is known for his strong communication skills, collaboration capabilities, technical leadership, and mentorship role for junior engineers. He excels in technical requirements management, system and integration software Architecture, technical specifications, enterprise scale CNA, Web, and SOA applications, both on-premise and SaaS.
Throughout his career, he has been involved in application modernization, Enterprise software integration using Service Oriented Architecture (SOA), Business Process Automation (BPA) platforms, and customer interactions as a technical liaison between different teams.
Daniel Zilberman holds a M. Sc. in Software Engineering from Golden Gate University, a Master's degree in Electrical and Electronics Engineering from Saint Petersburg State Institute of Technology (Technical University), and an M.Sc. in Physics and Electrical Engineering from Peter the Great St.Petersburg Polytechnic University.
His professional journey includes roles such as Senior Solutions Architect at Amazon Web Services (AWS), Sr. Solutions Architect Specialist at Red Hat, Customer Solutions Architect at VMware, Sr. Engineering Services Architect at CA/Broadcom, Sr. Consulting Architect at Primitive Logic, Senior Software Engineer at Finaplex Inc, Senior Technical Consultant at Financial Engines, and various engineering roles at NOKIA Networks, DigitalThink, and Exertech.
Highlights
Looking forward to co-presenting a builder session CMP302 "PyTorch best practices for generative AI & LLM inference architectures" with colleagues Alex Iankoulski, Sean Smith and others at the AWS NYC Summit on 7/10/24, hope to see you there! #aws #awssummit #Inference #eks
Another hopefully helpful hands-on AWS guidance we have just published to share today: https://lnkd.in/gzvKybpU
This Guidance shows how to use open-source Karmada project with Amazon Elastic Kubernetes Service (Amazon EKS) to manage and run your cloud-native applications across multiple Kubernetes EKS clusters on AWS. Karmada provides ready-to-deploy automation for multi-cluster application management, offering features like centralized multi-cloud management, high availability, failure recovery, and traffic scheduling. You can centrally manage and control multiple Kubernetes clusters through a single entry point without modifying your applications.
#aws #eks #karmada #multiclustermanagement #kubernetes
