- Taboola Blog
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Learn how Taboola, a company with over 500 million daily active users, overcame challenges of upgrading their infrastructure with Kubernetes. They moved away from Puppet, adopted Kubeadm, and created an automated upgrade service for zero downtime.
Gain insights from a first-time team lead’s experience in advertising. Learn how to lead with care, delegate tasks, communicate transparently, and maximize team potential.
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.