Prolaio needed help creating a SaaS data model to coordinate communication between patients and clinicians. Loka stepped in with AWS, serverless tech and expert teams and put the startup on the road to scalability, cost efficiency and streamlined data management for rapid market deployment.
Opportunity: Transition health data service to SaaS
To transition to a SaaS model, Prolaio needed help architecting and building a product backend and data plane that would enable seamless integration and efficient management of their clinical platform services. They also aimed to establish a scalable data science environment. In order to accelerate market entry, Prolaio needed DevOps and engineering expertise to accomplish these tasks on AWS within a tight timeframe, as they intended to conduct multiple clinical trials in the near future.
Loka teams included ML engineers, data engineers, backend engineers, project managers and DevOps.
Approach: Filter biometric data through ETL and ML
Loka incorporated external services such as Withings, Vivalink and Redox to collect biometric data. This information will undergo various ETL (Extract, Transform, Load) processes and be employed to enhance the machine learning algorithms being developed and refined by Prolaio.
Impact
- Loka delivered a comprehensive and secure SaaS platform, scalable from start to finish, composed of several autonomous subsystems that facilitate data ingestion, ETL processes, data visualization, reporting and machine learning capabilities.
- Delivered an IaC that enables new tenants to be easily spun up.
- Expected 20-40% cost reduction by using serverless technologies instead of traditional server-based computing, fast data ingestion and transformation and increased deployment frequency.
- Enhanced efficiency in development and operations, scalability and cost-effectiveness with serverless architecture, budget-friendly solutions, improved data handling capabilities and enhanced resource utilization through multitenancy.
Key Takeaways
- Strategic Expertise for SaaS Development: Collaboration with experienced professionals in DevOps and software engineering led to timely and effective market entry.
- Serverless Architecture for SaaS Efficiency: Significant cost reduction underscores the value of serverless architecture in SaaS solutions for scalability, cost efficiency and streamlined development and operations.
- Integration and Automation for SaaS Data Management: Effective integration of external services and automated ETL processes enhanced Prolaio's SaaS platform's data handling capabilities.
AWS Tools Used
- ECS clusters to host a reliable and scalable internal and client-facing UIs and backends such as authentication, data visualization, reporting, integration with devices and so on
- EventBridge, Lambda and Batch to react and process new incoming data
- AWS S3 and RDS to store the incoming data and it's metadata
- AWS Glue to perform ETL on the data