Application Refactoring · Enterprise Knowledge Search · IT Operations Automation · Marketing Personalization · Real-time Analytics · Risk Management · Security and Compliance
Additionally, the team needed Internet of Things (IoT) capabilities to facilitate the automatic and programmatic upload of data—including high-volume instrument data and low-volume system telemetry data—to a centralized hub in the cloud. The solution had to adhere to high levels of security mandated by HIPAA and other privacy regulations. “It was essential to centralize data collection in the cloud securely from all
Reported impact
Bio-Rad is pushing forward and bringing a paradigm shift in the industry while upholding the utmost standards of security and compliance. “In the realm of a connected world, we embrace the transformative potential of AWS,” says Jasmina. “Scaling up independently can be time consuming, but using AWS, we can scale up efficiently and effectively.”
The data is securely stored in Amazon Simple Storage Service (Amazon S3), an object storage service offering industry-leading scalability, data availability, security, and performance. Next, the data flows through an automated pipeline of ML models for data processing using Amazon SageMaker Notebooks , fully managed notebooks for exploring data and building ML models. If we had to manage this independently, it would entail substantial effort to support the cloud deployment.” AWS IoT Greengrass is also used to reduce potential errors in the deployment of ML models, such as inadvertently uploading the wrong model. It has a small footprint, and we know the incoming data is safe.” The incoming data undergoes minimal transformation using AWS Glue , a serverless data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics and ML. Because AWS IoT Greengrass and Amazon SageMaker were
Data or events enter through AWS IoT Greengrass, AWS Glue; processing runs on Amazon SageMaker; results and state are stored in Amazon S3 for the compliance review workload.
Additionally, the team needed Internet of Things (IoT) capabilities to facilitate the automatic and programmatic upload of data—including high-volume instrument data and low-volume system telemetry data—to a centralized hub in the cloud.
Built on the foundation of AWS IoT Greengrass, the robust and scalable infrastructure deftly manages the upload of high-volume data, without inadvertently affecting the functionality of Bio-Rad’s edge devices. “The solution virtually guarantees data security so that no data is lost during the transfer, even if there’s a connectivity drop in the lab,” says Jasmina. “AWS IoT Greengrass has been a true blessing to us.
It has a small footprint, and we know the incoming data is safe.” The incoming data undergoes minimal transformation using AWS Glue , a serverless data integration service that makes it easier to discover, prepare, move, and integrate data from multiple sources for analytics and ML.
Next, the data flows through an automated pipeline of ML models for data processing using Amazon SageMaker Notebooks , fully managed notebooks for exploring data and building ML models.
The solution had to adhere to high levels of security mandated by HIPAA and other privacy regulations. “It was essential to centralize data collection in the cloud securely from all
Using a range of AWS services, Bio-Rad has built a cutting-edge solution for secure and seamless transfer of instrument data to the cloud.
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At December 31, 2024, we had approximately 7,700 employees.
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