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  • Hackathon at scale: 3 perspectives

    Hackathon at scale: 3 perspectives

    On March 2019, more than 600 Criteo employees joined our worldwide hackathon for 48 hours. From Palo Alto to Paris and Singapore, our… 649 participants, 96 projects, 3 perspectives. Hackathon at scale: 3 perspectives. On March 2019, more than 600 Criteo employees joined our worldwide hackathon for 48 hours. From Palo Alto to Paris and…

  • 5 Do’s and Don’ts to restart a Hadoop cluster with no downtime

    5 Do’s and Don’ts to restart a Hadoop cluster with no downtime

    Our Hadoop cluster plays a pivotal role in our business operations. Operating a network of 3,000 advertisers, 5,000 publishers and 1.5 billion active shoppers simply wouldn’t be possible without a storage and compute environment that scales. Since beginning our Hadoop journey in 2012 we’ve continued to build on our big data operations, with a strong…

  • My year(s) at Criteo as a visiting professor

    My year(s) at Criteo as a visiting professor

    After working on theoretical questions in high-dimensional statistics as an academic at UC, Berkeley, I felt I wanted to see what statistics and machine learning were at industrial scale. This is why I joined Criteo in September 2017 to contribute to large-scale machine learning in industry. Friends in France told me that Criteo had positions…

  • Serving growing user needs with automated tooling

    Serving growing user needs with automated tooling

    Running a Big Data platform can offer a great deal of value to users, but only if that value is simple and easy to access. At Criteo, we’ve found that making our massive data sets accessible to our growing and geographically-distributed sales user base has come with certain challenges; not least the ability to scale…

  • Career tracks and leveling in Criteo R&D

    Career tracks and leveling in Criteo R&D

    One of the questions we hear a lot from engineers in our recruiting process is what kind of career path exists for technical specialists within Criteo. Their concern stems from the fact that they have already reached the top of the technical path in their current company and their only option for progressing is to…

  • Monitor Finalizers, contention and threads in your application

    Monitor Finalizers, contention and threads in your application

    This post of the series details more complicated CLR events related to finalizers and threading. Part 1: Replace .NET performance counters by CLR event tracing. Part 2: Grab ETW Session, Providers and Events. Introduction In the previous post, you saw how the TraceEvent nuget helps you deciphering simple ETW events such as the one emitted when…

  • The need to scale bigger

    The need to scale bigger

    At Criteo, hypergrowth is something we have gotten used to. Our business has grown from a single data center in Paris back in 2005, to a globally distributed, multi data center infrastructure, with over 35 000 servers and what is one of the largest Hadoop clusters in Europe. This blogpost is the story of how…

  • How to beat !dumpheap -stat?… with ClrMD

    How to beat !dumpheap -stat?… with ClrMD

    When you are dealing with large memory dumps, figuring out what instances of which types (i.e. the list of types sorted by size of their instances with their count) are stored in memory takes time. Sos in WinDBG provides the dumpheap -stat command that can take minutes. For example, on a 16.7 GB production dump,…

  • Grab ETW Session, Providers and Events

    Grab ETW Session, Providers and Events

    This post of the series shows how to easily listen to CLR events with the TraceEvent package. Part 1: Replace .NET performance counters by CLR event tracing. In the previous post, you saw that the CLR is emitting traces that could (should?) replace the performance counters you are using to monitor your application and investigate when…

  • Announcing the Criteo AI Lab

    Announcing the Criteo AI Lab

    We are pleased to announce the launch of the Criteo AI Lab (CAIL), a new chapter in our journey on improving performance in computational advertising. CAIL joins together Criteo Research with the Machine Learning Platform Engineering team, bringing together two main arms of R&D at Criteo. Typical configurations of research labs treat it as a…