When an eCommerce company acquired a healthcare eCommerce platform, the company approached Prismberry with the purpose of boosting the healthcare platform’s scalability, durability, and also general effectiveness. There were myriad problems associated with the healthcare platform, and our experts divided the problems into smaller bits and utilized the divide-and-conquer methodology to resolve the problems. The complexities varied from a massive migration of services to resolving stringent compliance requirements associated with health care data.
The healthcare eCommerce platform was a legacy application built on a monolith stack using proprietary technologies. Here is the list of complications that were associated with the application:
Migration of a mix of legacy applications and new microservices
Simultaneous feature addition was being done through new microservices, which created a mix of legacy applications and new microservices to be migrated. The migration of the technology stack from Amazon Web Services (AWS) to Google Cloud Platform (GCP) included more than 60-70 Kubernetes services, handling a primary database of significant size, in addition to many smaller of databases.
Legacy Applications
Many applications within the ecosystem were running legacy code, which made the migration procedure challenging
Training a Large Development Team
With a development team of over 100 engineers, comprehensive training was vital. The difficulty was making sure that the team could swiftly adjust to the new cloud environment without disturbing productivity
Stringent Compliance Requirements
Increased data security and compliance requirements were required to meet stringent compliance requirements associated with healthcare data.
High Order Processing Volume
The eCommerce platform processed a a remarkable number of orders daily. A downtime or even a short data write freeze throughout the migration was an important concern. The challenge was to implement a solution that made migration simpler with minimal disruption to everyday operations
The challenge
Confidentіal Inc. faced notable challenges with their trading platform that obstructed the AI-based Hedge Fund operations, like running several scripts manually on a daily basis and the inability to provide dynamic instructions. Let’s understand the challenges the client faced with their existing system
Unscalable On-Premise Infrastructure
The platform was hosted on AWS and on-premise infrastructure. The on-premise systems lacked scalability and resilience. Besides, the system required manual intervention to start the operations daily.
Static Instructions
The absence of dynamіc іnstructіons necessіtated code modіfіcatіons for any changes, іntroducіng errors, and hіnderіng the fund’s adaptabіlіty to changіng market condіtіons
Time-Intensive Machine Learning Algorithms
The executіon of complex algorіthms proved resource-іntensіve, resulting in prolonged executіon tіmes and іncreased operatіonal costs for Confidentіal Inc.’s Hedge Fund.
Manual Trading Operations
The trading platform had complex data pipelines to pull stocker data from different reputable sources, like Yahoo Finance and Interactive Broker, and stored in a Big Query through ETL pipelines. Frequent manual scrіpt executіons on a daily basis resulted in operatіonal іneffіcіencіes, 2-3 hours to set up a system for trading operations, and required human intervention, affecting the overall relіabіlіty of tradіng operatіons
Our team of five experts with expertise in cloud migration and a track record of dealing with elaborate projects designed an extensive strategy. Within three months, our experts addressed the difficulties with the following strategy:
01. Landing Zone Creation
Before migrating the infrastructure to GCP, our team created a safe landing zone. It involved setting up a foundational environment that adheres to all the security best practices and provides a robust framework to host the workload.
03. Comprehensive Training Program
Prismberry Solutions implemented an extensive training program for over 100 engineers. This program equipped the development team with the essential skills to transition flawlessly from AWS to GCP
02. Detailed Migration Planning
We prepared detailed migration plans for different components, such as applications, databases, and other components. It included planning for machine sizing, preparing detailed rollback plans, etc.
04. Adherence to Compliance Requirements
Addressing the enhanced data safety and compliance requirements of healthcare data was a leading concern, and hence, durable procedures were carried out to ensure the secure handling of sensitive healthcare information.
Our team of five experts with expertise in cloud migration and a track record of dealing with elaborate projects designed an extensive strategy. Within three months, our experts addressed the difficulties with the following strategy:
01. Landing Zone Creation
Before migrating the infrastructure to GCP, our team created a safe landing zone. It involved setting up a foundational environment that adheres to all the security best practices and provides a robust framework to host the workload.
02. Detailed Migration Planning
We prepared detailed migration plans for different components, such as applications, databases, and other components. It included planning for machine sizing, preparing detailed rollback plans, etc.
03. Comprehensive Training Program
Prismberry Solutions implemented an extensive training program for over 100 engineers. This program equipped the development team with the essential skills to transition flawlessly from AWS to GCP
04. Adherence to Compliance Requirements
Addressing the enhanced data safety and compliance requirements of healthcare data was a leading concern, and hence, durable procedures were carried out to ensure the secure handling of sensitive healthcare information.
Results
Despite the complexities of migrating a considerable modern technology stack, our experts attained a smooth shift with very little interruption. Here’s how our solution helped the client.
The migration process maintained an incredibly short data write freeze and reduced any impact on order handling. The effective downtime taken during the migration was just 1 hour
migration downtime
During non-peak hours, our team carried out the migration with near-zero GMV loss. It showcased the efficiency of the migration approach in maintaining business continuity and economic stability
GMV loss
Developer productivity increased as a result of better architecture and developer productivity tools employed by our team in GCP.
Developer Productivity
Meticulous planning and implementation caused zero post-migration errors, which are common due to migration issues. This success stressed the precision and dependability of the migration process, giving a steady environment for ongoing operations
post-migration efforts