Transforming Healthcare with Azure: Reducing Migration Time by 75% and Costs by 60%
Introduction
Quadrant’s Q-Migrator simplifies database migrations to Azure, seamlessly managing petabyte-scale data. Led by migration experts, our service cuts migration time by 75% and costs by 60%. Q-Migrator handles code conversion, data masking, migration, and testing, a l in one platform. It's OSS agnostic and adaptable to various applications.
Business Challenge:
Leading healthcare provider, faced significant challenges with their critical healthcare application, managed by a legacy on-premises .Net Application with an Oracle 11g database with a 30TB database capacity. The rapid expansion across multiple locations strained time-to-market efficiency, while escalating Oracle licensing costs, performance bottlenecks, and scalability constraints increased their operational hurdles.
Our solution and its Impact:
Quadrant closely collaborated with Microsoft throughout the design, development, and implementation phases of the migration solution. This partnership facilitated seamless integration and ensured that the solution met client’s specific requirements. Our collaboration with Microsoft enabled us to leverage Microsoft's expertise and resources, ultimately benefiting the client with an optimized and future-proofed IT infrastructure.
In partnership with Microsoft, Quadrant delivered a comprehensive migration solution, transitioning client’s infrastructure from on-premises to Azure.
Leveraging Azure services and Postgres, migration yielded substantial benefits:
● Cost Reduction: Achieved 40% reduction in migration costs, with projected annual optimizations of 30% over 3-4 years. The transition to Azure a levitated client’s Oracle licensing expenses, contributing to significant cost savings.
● Performance Enhancement: Transaction speeds improved from 20 to 5 seconds, enhancing overall system efficiency and user experience.
● Operational Efficiency: Streamlined CI/CD deployments reduced maintenance costs and accelerated modernization efforts, enhancing operational agility.
● Scalability and Reliability: Ensured high availability and disaster recovery, simplifying server management, and scaling to meet demand fluctuations.
● Time Efficiency: Reduced deployment time for new hospital databases from a month to a couple of days, fostering agility in service delivery.
● Technical Debt Reduction: Addressed technical debt, resulting in a 20% faster build execution and improved system stability.
● Zero Business Disruption: The cutover point during migration was executed seamlessly, without business disruption.
Technologies Used:
The client chose Azure for its robustness and scalability, offering a comprehensive suite of services tailored to their business needs. From a business perspective, Azure provided cost-effective solutions, eliminating Oracle licensing costs and offering predictable pricing models. From a technical standpoint, Azure's extensive support for open-source technologies, like PostgreSQL, seamless integration capabilities, and global scalability made it an ideal choice for the client’s migration needs. Azure PostgreSQL specifically offered benefits such as high availability, horizontal scaling, and compatibility with various data formats, enhancing database management and performance.
Microsoft and Open-Source Technologies:
Key technologies and frameworks utilized in the solution included Microsoft Cloud Adoption Framework, Azure Landing Zone with hub-spoke architecture and Express Route for networking, Azure Virtual Machines for hosting, Azure PostgreSQL for database management, Azure DevOps for streamlined deployment processes along with Azure Pipelines, and Azure Databricks for data analytics. These technologies, integrated seamlessly, provided the client with a scalable, efficient, and cost-effective solution, giving them a competitive edge in the market.
Conclusion
In summation, Quadrant’s migration solution created palpable business impact for the healthcare provider, with substantial cost savings, performance enhancements, and operational efficiencies. Its inherent repeatability and adaptability rendered its applicable across a plethora of customer scenarios even with petabyte scale of migration, thereby fostering broader market impact and providing heightened customer satisfaction.
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