AWS Database Blog
Author: Yahav Biran
Yahav Biran is a Principal Solutions Architect in AWS, focused on AI frameworks and applications. Yahav enjoys contributing to open source projects and publishing in AWS blog and academic journals. He currently contributes to the K8s Helm community, AWS databases and compute blogs, and Journal of Systems Engineering. He delivers technical presentations at technology events and working with customers to design their applications in the Cloud. He received his Ph.D. (Systems Engineering) from Colorado State University.
Up your game: Increase player retention with ML-powered matchmaking using Amazon Aurora ML and Amazon SageMaker
Organizations are looking for ways to better leverage their data to improve their business operations. With Amazon Aurora, Aurora Machine Learning, and Amazon SageMaker, you can train machine learning (ML) services quickly and directly integrate the ML model with your existing Aurora data to better serve your customers. In this post, we demonstrate how a […]
Avoid PostgreSQL LWLock:buffer_content locks in Amazon Aurora: Tips and best practices
We have seen customers overcoming rapid data growth challenges during 2020–2021.For customers working with PostgreSQL, a common bottleneck has been due to buffer_content locks caused by contention of data in high concurrency or large datasets. If you have experienced data contentions that resulted in buffer_content locks, you may have also faced a business-impacting reduction of […]
Accelerating your application modernization with Amazon Aurora Machine Learning
Organizations that store and process data in relational databases are making the shift to the cloud. As part of this shift, they often wish to modernize their application architectures and add new cloud-based capabilities. Chief among these are machine learning (ML)-based predictions such as product recommendations and fraud detection. The rich customer data available in […]