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Case Study>Genom Malaysia Improved Availability and Scalability with Google Cloud

Genom Malaysia Improved Availability and Scalability with Google Cloud

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Genom Malaysia
Overview

Genom Malaysia is a national initiative to accelerate genomic research and enable data-driven healthcare innovation through secure, scalable technology.

Its core functions include:
  • Drive national genomics programmes and collaborative research.
  • Provide reliable platforms to manage and analyse large genomic datasets.
  • Enable secure data access for researchers and stakeholders.
  • Improve operational efficiency through automation and scalable infrastructure.
Highlights

Genom Malaysia is a national-level genomics initiative supporting research and innovation across Malaysia.

Genom Malaysia needed a reliable and scalable platform to manage and analyse large volumes of genomic data.

Ilokenelitery successfully supported Genom Malaysia’s migration to Google Cloud, enabling faster data processing, improved storage efficiency, and enhanced collaboration capabilities.

Challenge

Genom Malaysia handles large-scale genomic datasets from multiple research projects across the country. Their on-premise infrastructure struggled to store, process, and analyse massive volumes of data in real time. As research activities grew, the need for a more flexible, scalable, and secure environment became critical to ensure data integrity, fast analysis, and cross-agency collaboration.

Solution

Ilokenelitery designed and implemented a tailored cloud-based infrastructure on Google Cloud for Genom Malaysia.

Secure Cloud Storage for high-throughput genomic data with scalable compute for analysis workloads.

Improved data governance and access controls for researchers and stakeholders.

Implementation of best practices for reliability, performance, and cost optimisation.

Benefits
  • Accelerated data processing and improved research collaboration across teams.
  • Enhanced scalability and storage efficiency to support growing datasets.
  • Improved security, backup, and access management for sensitive genomic data.
  • Better cost management and resource utilisation with cloud-native capabilities.