In a previous article titled Stop being selfish ! — Open up Terraform to your team with Atlantis, we showcased how powerful and convenient it is to have a well defined Git workflow to manage the infrastructure as code using Terraform with Atlantis.
For an ad server, every millisecond counts. We must select an ad for a request as quickly as possible; otherwise we will be knocked out of the business because either the publisher’s ad server or the user won’t have the patience. At GumGum, we manage to fulfill tens of millions…
Background
Purpose
Last month we (the Data Engineering team at GumGum) faced a production error in Snowflake that was quickly debugged and resolved by using Snowflake Time Travel. We were amazed by how clean and easy the reconciliation process was, so we wanted to provide a practical example for using this feature.
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At GumGum, we train machine learning models on unstructured data, like text and images. An integral part of model development is model evaluation. Especially for classification tasks, there are several metrics out there. Most known are accuracy, precision, recall, the F-beta score, and the ROC AUC. Each of those gives…
At GumGum, we train machine learning models on unstructured data, like text and images. An integral part of model development is model evaluation. Especially for classification tasks, there are several metrics out there. Most known are accuracy, precision, recall, the F-beta…
“Opportunity cost” is one of those terms you may have heard dropped by a fancy suit with an expensive haircut divulging the seven steps to become the CEO of your own herbal supplements company from home in a ninety second clip that you just couldn’t seem to summon the will to scroll past because you sorta daydreamed through the first twenty-eight seconds and then felt too invested to do anything else but see it through to the end. And while it can be tricky to grasp as a business concept (especially if expressed exclusively in terms of pricing essential oil cartons), sometimes a problem presents itself in a way that it is only solvable by grappling with this intangible topic.
In the realm of digital advertisement delivery, such a problem exists in shrinking the gap between the price actually paid to publishers and the price that would have been paid for a cheaper impression that became available later; here at GumGum one of the ways we address this is through…
At GumGum, we train machine learning models on unstructured data, like text and images. An integral part of model development is model evaluation. Especially for classification tasks, there are several metrics out there. Most known are accuracy, precision, recall, the F-beta score, and the ROC AUC. Each of those gives…
Splitting multi-label data in a balanced manner is a non-trivial task which has some subtle complexities. In this blog post, I review several algorithm implementations and attempt to find the best solution for the data that I’ve been working with.
Overview:
One reoccurring problem for applied scientists on the GumGum Verity…
Kubernetes Scheduling and Resource Management.
In the 1st part of this K8S series, we covered much ground related to building, maintaining, and operating an extensive fleet of K8S clusters. This 2nd part will be more condensed and focused on Kubernetes Resource Management and Scheduling.
If we look up the official…
Introduction
To decide which ads to serve, our GumGum ad server needs to make decisions not just based on different targeting requirements, but also based on other factors such as the ad goals, RPM (revenue per million), viewability, click through rate etc.
Recently we had a goal to increase the viewability…
GumGum Tech Blog
Thoughts from the GumGum tech team
