Anton Antonov

About Anton Antonov

With over 19 years of experience in software engineering and cloud solutions, I am a passionate about building, researching and architecting cutting-edge multi-cloud, multi-cluster solutions for Kubernetes workloads. My mission is to help companies achieve scalability, security, and performance in their cloud and Kubernetes environments.As a co-founder of Kubar.io, I lead the development and design of a multi-cloud, multi-cluster AI/ML-driven optimization engine for Kubernetes that leverages machine learning models and CNCF best practices. As a cloud and cloud-native solutions architect and consultant, I work with IT companies to build cloud and cloud-native architectures and solutions that meet their specific needs and challenges. I have extensive experience and expertise in Azure, Kubernetes, microservices design, security, storage, building high availability and disaster recovery solutions. I also enjoy contributing to the CNCF community and staying updated on the latest technologies and trends.Other interests of mine include cloud security, Kubernetes security and the emerging domain of decentralized finance (DeFi) and blockchain. And last but not least, motorcycle racing!

Experience

1. Technical Co-founder & CTO

   Kubar.Io

   Feb 2023 — Present · Seattle, WA, US

   On the consultancy side of Kubar.io, I work with a small team of senior engineers. Our focus is on building and designing cloud-native (Kubernetes) and public cloud architectures and solutions for IT organizations.Kubernetes and public cloud areas of expertise include- Onboarding and migration- Storage and database solutions- Scalability, performance and reliability- Security, compliance and governance- Networking- Monitoring, alerting and troubleshooting- DevOps CI/CD pipelines - High availability, disaster recovery and business continuity- Resource utilization management and optimization- Cost management- CNCF projects contributorOn product side of Kubar.io, I\'m focused on the efforts to build automated AI/ML driven cloud-native optimization engine for Kubernetes.Expertise and involvement include- AI/ML research and practical application of ML models for Kubernetes optimizations- Multi-cloud and multi-cluster Kubernetes architecture setup and management- Stateless and stateful application migration cross Kubernetes clusters- Design and development of resource utilization optimizations in KubernetesApart of the technical side, I work with customers to understand their business needs and translate them into technical requirements.

Education

• Faculty of Informatics @ Vytautas Magnus University

  Bachelor's Thesis, Computer Games and Programming Skills

  2005 — 2005

• St. Cyril and St. Methodius University of Veliko Tarnovo

  Bachelor of Engineering (BE), Computer Science

  2001 — 2005

Skills

• Xml
• Win32 Api
• Design Patterns
• Software Development
• Scrum
• Algorithm Design
• Visual Studio
• Vbscript
• Sql
• Asp.net
• Wpf
• C++
• Wtl
• .net Framework
• Javascript
• Uml
• C#
• .net
• Oop
• Multithreading
• Microsoft Sql Server
• Tdd
• Silverlight
• Distributed Systems
• Object-Oriented Programming (Oop)
• Client-Server Application Development
• Software Design
• Wcf
• Agile Methodologies
• C/C++ Stl
• Windows Azure
• Eclipse
• Tda
• Web Services
• Gdi+
• Windbg
• Gdi
• Atl Com
• Windows Communication Foundation (Wcf)
• Software Engineering