Why is it important to remove underperforming features to improve the product’s key metrics? Find out here.
We wanted to see if there was a way we could sync our Kubernetes NetworkPolicies dynamically with tools we already use, like Consul and Calico.
Read this article to learn more about what conversions are, how Taboola handle billions of daily events at scale, and how it all presents meaningful data to customers.
Kafka is an open-source distributed event streaming platform and something went wrong while working with it. Let’s see how it was investigated and resolved.
Find out the secrets to how Taboola deploys and manages the thousands of servers that bring you recommendations every day.
In this article you will learn what Samplex is and how it is used to make processing of large raw datasets more efficient.
This post is not about K8S – nor is it about AWS. It is not about containers – nor is it about some new, “cool” technology for managing large-scale applications. Rather, this post is about how we deploy a highly sophisticated Java service, a heavy service that is very actively developed on a daily basis, to 1000s of servers across our 7 data centers around the world. So what’s the problem? Isn’t it enough to take a list of servers, get the version to deploy and run it with an automation tool like ansible? Well, it’s not as simple as it might seem. This service serves Taboola’s recommendations and responds to hundreds of thousands requests per second. The service has to be fast – so fast that its p95 should be below 500 milliseconds per request. Which means we can’t have any downtime at all, or even afford slower […]
Optimizing Spark Executor Utilization: Harnessing Dynamic Allocation and Resource Management for Efficient Workload Processing.
Introduction Newsrooms are under constant pressure to deliver the most up to date, relevant, and engaging information possible. At Taboola, we are building tools to make this faster, easier, and now–predictable. As soon as an article is published the team has a critical eye on engagement data. Garnering insight on article performance as soon as possible is critical for guiding content strategy. Some articles receive wide attention immediately, drawing hundreds of thousands of page views within minutes, others may only see the first page view after a few hours. Taboola aims to narrow this gap even further by leveraging Machine Learning Models to predict article performance the moment after it becomes available to the reader. Read on for details on our latest research and fascinating discoveries around predicting article performance! Article Data Taboola Newsroom is a real-time optimization technology that empowers editorial teams with actionable data around what stories, headlines, […]
As a content discovery product, we need to be able to pace the campaign through its life on real time – spending the budget entirely without overspending. The team I am leading is responsible for serving Taboola’s video content. Our main goal is to enable growth of our business. Owning the entire serving process of the video content can be crucial to this end. Depending on 3rd parties serving systems with the core process would leave us vulnerable to rising prices, compromised features, serving latency, reduced performance and so on. In order to serve the video on our own we had to come up with a way to pace the amount of times we want to display the video and prevent instances in which the entire budget of the video would drain in a few seconds – common scenario in Taboola’s scale when the video is not targeted aggressively. We […]