Learn how the Taboola team doubled the performance of their machine learning pipeline by optimizing the use of their GPU resources. Discover how they achieved increased throughput, reduced hardware costs, and improved recommendation engine AI.
Investing in a resilient monitoring and alerting system will result in more confidence when performing actions and deploying features on the system.
Our journey to find the source of duplicate rows in our Apache Spark jobs.
Looking to upgrade your data pipeline to Spark3? Taboola had some issues during the upgrade, and we want to share them with you.
Check out the Redux Toolkit to see what else they have to offer!
How can we as developers, do everything in their power to protect the users of their applications from experiencing ANRs? Let’s find out.
Check out these 7 questions Taboola gathered to better define problems.
Most products don’t have the luxury of retaining users beyond the first session solely on their solid reputations, and in order to do so, we need to optimize for the best user experience possible.
Have you recently launched a cool new feature you spent so much time on? What data do you use to determine the impact of the feature? Take a look at this blog, this may be just for you!
Ted Lasso has some real-life lessons we can all take in. How is this possible? Take a look!