Case Study: Taboola Cuts MTTR and Saves 260+ Debugging Hours Monthly with Lightrun

How Taboola slashed MTTR & saved 260+ debugging hours a month with Lightrun on AWS

Taboola, a high-scale digital content discovery platform, needed a faster way to troubleshoot issues in its highly dynamic production environment across data centers and AWS. With frequent deployments, difficult-to-reproduce production problems, and thousands of dollars in revenue at stake for every minute of downtime, the team struggled to validate new code and diagnose bugs without lengthy rebuild-and-redeploy cycles.

Using Lightrun’s real-time production observability tools—logs, snapshots, and metrics—Taboola was able to debug directly in production, verify feature behavior behind flags, and measure performance without interrupting live services. Lightrun helped Taboola cut MTTR, resolve some hidden backend issues in under an hour instead of up to two weeks, and save more than 260 debugging hours per month.

Taboola

Rami Stern

R&D Infrastructure Team Leader