Max Martynov

Max Martynov

Max Martynov joined Grid Dynamics in 2008 with a mission to establish and lead their High-Performance Computing practice. Max has been leading engagements with a number of major technology and retail companies, including Microsoft, Macy's, Kohl's, and JCPenney. Over the last decade, his focus evolved from HPC and scalable distributed platforms to Digital Transformation, Cloud, BigData, DevOps, Microservices architecture, and AI.

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Max Martynov

Max Martynov joined Grid Dynamics in 2008 with a mission to establish and lead their High-Performance Computing practice. Max has been leading engagements with a number of major technology and retail companies, including Microsoft, Macy's, Kohl's, and JCPenney. Over the last decade, his focus evolved from HPC and scalable distributed platforms to Digital Transformation, Cloud, BigData, DevOps, Microservices architecture, and AI.

Max Martynov

Deploy Data Platform on AWS in One Day

Grid Dynamics has developed a Starter Kit to help companies build a data platform more quickly. The Starter Kit, available on AWS Marketplace, provides six capabilities or use cases that can be deployed on top of AWS, including data lake, enterprise data warehouse, batch analytics, stream analytics, data governance, and AI/ML use cases. The platform enables DataOps practices and is ready to integrate with external data sources.

How to release components independently when you have a distributed monolith

A new approach to software development called deployment channels is being used to address the challenges of releasing new features in large, complex applications. Deployment channels involve creating shallow clones of the production system for development and testing purposes, allowing developers to work on new features without disrupting the live system. This approach can help improve change velocity and reduce the cost of implementing new business features.

From data lake to analytical data platform

Over the last ten years, the role of data in modern enterprise has continued to evolve at a rapid pace. Companies launched initiatives to define and execute their data strategy, appointed Chief Data Officers, and created large teams to collect, manage, and generate insights from data. With increased awareness and higher demands for data, the concept of an analytical data platform evolved as well.

5 strategies to reduce cloud cost

This article discusses five strategies that companies can use to reduce their cloud costs and effectively plan for cloud migration, including implementing a lightweight continuous delivery process, modernizing applications with containers and serverless computing, implementing reactive and proactive scalability, utilizing on-demand and low-priority workloads, and implementing proper cost monitoring.