How Taboola Handles Deep Learning Training-Serving Features Discrepancies
Introduction In machine learning, one critical challenge is ensuring that the features used during model ...
Java
19 Articles
Driving Success Through Cross-Functional Management in Engineering at Taboola – Part 2: Strategic Leadership and Innovation in Tracks Methodology
Introduction In the first part of this series, we explored how the Tracks methodology empowers ...
Driving Success in Engineering at Taboola: Cross-Functional Management Blueprint
In today’s fast-paced business environment, flexibility and collaboration are key to driving innovation and delivering ...
GPU Integration Propels Data Center Efficiency and Cost Savings for Taboola
A year ago, we at Taboola kicked off a POC to migrate our Spark workload ...
How I Learned To Stop Worrying And Love The Kubernetes Release Cycle
Our Story and Humble Beginnings Taboola, a company that has more than 500 million daily ...
Insights From My First Year as Integration & Support Team Lead at Taboola
I never saw myself as the managerial type. Probably due to the manager typecast I ...
7 Questions Product Leaders Must Ask to Discover the Right Problems to Solve
Anyone working as a product analyst or product manager has a crucial role in ensuring ...
How to Kill Underperforming Features and Why You Should Do It Now
Can you create value by not building features? In this blog post, I will share ...
Dynamic Security Operations in Kubernetes
In a dynamic world, your Kubernetes security infrastructure should also be dynamic. Many Kubernetes applications ...
How Taboola Powers the Conversion Data Pipe
When you set out to build the world’s largest content recommendation platform that performs to ...
Samplex: Scale Up Your Spark Jobs
Using Samplex to Scale Up your Spark Jobs When I encountered Taboola’s data a few ...
High Scale Service Deployment: Taboola’s Recommended Flow
This post is not about K8S – nor is it about AWS. It is not ...