Sergey Plastinkin

Sergey Plastinkin joined Grid Dynamics in 2007 as a Staff Software Engineer & worked with Macys, SVB, JCPenney, Neiman Marcus and the others. Great experience in Clouds, Containers, CI/CD, Big Data

Sergey Plastinkin

10 reasons to migrate from PCF and embrace cloud hyperscalers

Are you currently navigating the landscape of application hosting and management with Pivotal Cloud Foundry (PCF), now known as VMware Tanzu Application Service? Perhaps you’re contemplating a pivotal (pun intended) decision: the transition to cloud hyperscaler Kubernetes engines like Amazon Elastic Kubernetes Service (EKS), Microsoft Azure Kubernetes Service (AKS), or Google Kubernetes Engine (GKE). This

AWS-native personal shopping assistant portal for a leading luxury department store chain

Grid Dynamics developed a custom application for a luxury department store chain to optimize personal assistant interactions for select customers, providing unique shopping experiences and improving conversions and customer loyalty. The solution is based on an AWS-native technology stack, with AWS Lambda as the serverless compute service of choice.

Deploying and running an in-stream process service as a “Developer sandbox”

This blog post provides step-by-step instructions on how to deploy applications using Docker, Mesos, and Marathon. The article breaks down the process into three steps: defining the deployment-ready components, defining the deployment-ready analytics application, and running the resulting application definitions. The post also includes container definitions for each component and application.

More details on building cloud-portable DevOps stack with Mesos and Marathon

A blog post from Grid Dynamics explains why Docker-based DevOps stacks are better than traditional configuration management tools. The post explains how Docker containers take the “build once, run everywhere” promise to the next level, and provide lighter-weight application virtualisation. The post also provides a guide on how to set up Mesos and Marathon as a DevOps foundation for Docker.

From reference architecture to reference implementation: Detailing the DevOps aspects of in-stream processing service

This article discusses the upcoming reference implementation of a general purpose In-Stream Processing Service blueprint, which will be open sourced and available for deployment on AWS. The article also mentions a fully-functional demo application for real-time sentiment analysis of Twitter feeds.