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Home Insights All authors Sergey Plastinkin
Sergey Plastinkin

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

Check out the latest insights:

migrate from PCF to Kubernetes
Article
10 reasons to migrate from PCF and embrace cloud hyperscalers
Cloud platform and dev tools
Cloud platform and product engineering
+1
Article 10 reasons to migrate from PCF and embrace cloud hyperscalers
Cloud platform and dev tools
Cloud platform and product engineering
+1
AI illustration to illustrate Google cloud platform
Article
Accelerate migration from Pivotal Cloud Foundry to Google Kubernetes Engine
Cloud platform and dev tools
Cloud platform and product engineering
+1
Article Accelerate migration from Pivotal Cloud Foundry to Google Kubernetes Engine
Cloud platform and dev tools
Cloud platform and product engineering
+1
AWS-native personal shopping assistant portal for a leading luxury department store chain
Article
AWS-native personal shopping assistant portal for a leading luxury department store chain
AI-driven search and experiences
Digital engagement
+1
Article AWS-native personal shopping assistant portal for a leading luxury department store chain
AI-driven search and experiences
Digital engagement
+1
Accelerate Migration from Pivotal Cloud Foundry to AWS Kubernetes
Article
Accelerate migration from Pivotal Cloud Foundry to AWS Kubernetes
Cloud platform and dev tools
Cloud platform and product engineering
+1
Article Accelerate migration from Pivotal Cloud Foundry to AWS Kubernetes
Cloud platform and dev tools
Cloud platform and product engineering
+1
Deploying and running an In-Stream Process service as a “developer sandbox”
Article
Deploying and running an in-stream process service as a “Developer sandbox”
Data and ML platforms
Data engineering
+1
Article Deploying and running an in-stream process service as a “Developer sandbox”
Data and ML platforms
Data engineering
+1
More details on building cloud-portable DevOps stack with Mesos and Marathon
Article
More details on building cloud-portable DevOps stack with Mesos and Marathon
Cloud platform and dev tools
Cloud platform and product engineering
+1
Article More details on building cloud-portable DevOps stack with Mesos and Marathon
Cloud platform and dev tools
Cloud platform and product engineering
+1
DevOps stack for In-Stream Processing Service using AWS, Docker, Mesos, Marathon, Ansible and Tonomi
Article
DevOps stack for in-stream processing service using AWS, Docker, Mesos, Marathon, Ansible and Tonomi
Cloud platform and dev tools
Cloud platform and product engineering
+1
Article DevOps stack for in-stream processing service using AWS, Docker, Mesos, Marathon, Ansible and Tonomi
Cloud platform and dev tools
Cloud platform and product engineering
+1
From reference architecture to reference implementation: detailing the DevOps aspects of In-Stream Processing Service
Article
From reference architecture to reference implementation: Detailing the DevOps aspects of in-stream processing service
Cloud platform and dev tools
Cloud platform and product engineering
+1
Article From reference architecture to reference implementation: Detailing the DevOps aspects of in-stream processing service
Cloud platform and dev tools
Cloud platform and product engineering
+1

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    10 reasons to migrate from PCF and embrace cloud hyperscalers

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