Discover how Bitrise is transforming to meet the demands of large enterprises. Learn about our past updates, current enhancements, and future plans to ensure robust security, compliance, and centralized management.

Multi-tenant applications are crucial for efficiently serving multiple clients from a single shared instance, offering cost savings, scalability, and simplified maintenance. Such applications can allow hospitals and clinics to manage patient records securely, can enable financial institutions to provide personalized banking services, and can help streamline inventory management and customer relationship management across multiple stores.

Due to their ability to enable parallelism and asynchronous execution, threads have an essential role in efficiently utilizing multi-core processors. Without them, handling concurrent tasks in modern applications like real-time inference in IoT or Asynchronous I/O in AI/ML would neither be feasible nor imaginable. The arrival of virtual threads has further grown such possibilities by eliminating the sole dependency on operating system threads.

It is estimated that between 80% and 90% of the world’s data is unstructured1, with text files and documents making up a significant portion. Every day, countless text-based documents, like contracts and insurance claims, are stored for safekeeping. Despite containing a wealth of insights, this vast trove of information often remains untapped, as the process of extracting relevant data from these documents is challenging, tedious and time-consuming.

Gartner predicts that generative AI will be a workforce partner for 90% of companies globally by 2025. However, Alexander Bant, Gartner Finance’s chief of research, expressed a contrasting view at the Gartner CFO & Finance Executive Conference in Sydney in February 2024. He noted, “The large majority of CFOs continue to be displeased with the performance of digital investments across their organization.”

Last year at Summit, we announced the public launch of the Snowflake Performance Index (SPI), an aggregate index for measuring real-world improvements in Snowflake performance experienced by customers over time.