Re-architecting with managed GKE

By January 31, 2020 July 30th, 2020 Case Study, Cloud Case Study

The customer: A leading therapeutics company in immuno-oncology

Problem Statement:

A leading therapeutics company in immuno-oncology was running their research data of more than 2 TB in on-premise setup and were facing multiple challenges when performing tests and other application validations, due to constraints on scaling and performance validation.

The Solution:

Google Kubernetes Platform (GKE) helped Customers in their digital transformation journey with a highly efficient and cost-effective solution. A complete re-architecture of their current setup running in on-premise standalone virtual machines was planned with advanced technologies like Managed Kubernetes.  Jenkins was implemented for the CI/CD pipeline for making sure integration of individual jobs, easier code deployment to production and effortless auditing of logs. Auto-Scaling was flawless and handling large data was much easier.

  • Number of VM’s – 180+
  • Number of applications migrated – 25+
  • Approximate size of DB – 2TB

The Results:

  • Migration of all the containerized images to managed GKE on Google Cloud helped achieve high availability and scaling.
  • The customer was able to manage their complete application lifecycle and build lifecycle as a code; it additionally helped to meet required security compliances.

Tools and services used:

  • Tools used – Istio, Jenkins, MySQL, Clam AV, Elasticsearch &GitHub
  • Google services used – Compute Engine, Container Build, Google Kubernetes Engine, Container Registry, Cloud SQL, Stack Driver, Cloud Identity & Access Management, Cloud VPN, Cloud DNS, Cloud Load Balancing

Cloud platform:

Google Cloud Platform

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