By Amen Al-Moamen, Associate Software Engineer at Integral Ad Science “The bigger they are, the harder they fall “ — Somebody at some point The Problem At IAS, we’ve slowly (but surely) begun migrating some of our tools and libraries to Kubernetes. By doing so, we hope to one day completely decouple…

By Stephanie Soto, Senior Software Engineer at Integral Ad Science Let me paint you a picture of a monolithic application, something every company has, and a tool that has been around since Integral Ad Science (IAS) was shiny and new. New features are added daily, but rarely does it get…

Written by Milap Jhumkhawala, Senior Software Engineer at Integral Ad Science As Integral Ad Science (IAS) continues to scale globally, the wide array of software products and services it develops evolve and become more complex. The risk of incidents related to application failure and bugs being leaked into production increases…

Author: Amitpal Tagore Typical and automated machine learning At IAS, we analyze billions of online advertisements, also known as ad impressions, every day for suspicious activity. A big concern is that computers can be used to automate online activity and cause a large number of ad impressions to be served, and because they will never…

Author: Sam Gleske, Staff Engineer, Integral Ad Science IAS has created a new open source project on GitHub, dependency-deep-scan-utilities, which detects log4j vulnerabilities (CVE-2021–44228 and CVE-2021–45046) in source code. With the widespread use of log4j, it’s also easily exploitable to perform remote code execution which can impact many developers. …

This post is co-written with Mat Sharpe, Technical Lead, AWS & Systems Engineering from Integral Ad Science. Integral Ad Science (IAS) is a global leader in digital media quality. The company’s mission is to be the global benchmark for trust and transparency in digital media quality for the world’s leading…

by Joshua Yosen If you’re tired of the long processing times on your not-so-fault-tolerant streaming solution, you know that streaming large data sets can be a headache. At IAS, we’ve found that Akka Streams simplifies the process, offering faster streams and greater system stability. The Situation Over the past year…

By Matt Chudoba In part 1 of this blog series, I discussed the design of the pipelines we built to process late arriving data. In this post, I will detail the steps we added to the pipelines to automatically process late arriving data. How to Process Late Arriving Data Our architecture consists of two parts: a…

By Matt Chudoba At Integral Ad Science, we process high volumes of partner data through our platform every day, so that we can quickly provide meaningful insights to customers. Our partners control when the data is made available and sometimes there are delays due to API outages or planned downtime. …