Google Cloud Platform
Case Studies
AB Tasty: Leveraging Google Cloud for Enhanced Customer Experience Optimization
Overview
AB Tasty: Leveraging Google Cloud for Enhanced Customer Experience OptimizationGoogle Cloud Platform |
Analytics & Modeling - Machine Learning Platform as a Service (PaaS) - Application Development Platforms | |
Cement Construction & Infrastructure | |
Product Research & Development Quality Assurance | |
Construction Management Infrastructure Inspection | |
Cloud Planning, Design & Implementation Services Training | |
Operational Impact
Since migrating to Google Cloud, AB Tasty has had the infrastructure designed for scale without having to compromise on its quality of service. The company has been able to handle massive amounts of traffic without affecting its service. The analytics and machine learning capabilities of BigQuery have enhanced its personalization product. Developers are now able to create and test new features and ideas by simply spinning up an instance with Google Kubernetes Engine without having to worry about provisioning or draining IT resources, resulting in richer, more mature products. This has contributed to AB Tasty’s continued growth over the last few years. The company continues to evolve and experiment with new ways of working, with a keen interest in exploring how Google Cloud integrates with open-source technology in the future. | |
Quantitative Benefit
The new infrastructure can handle around 50,000 events per second, with up to 200,000 events per second at peak times, without affecting performance. | |
The company is now able to ingest, process, and analyze around 2 billion events per day. | |
AB Tasty has achieved a 99.99% service-level agreement. | |