MediaMath Developer Blog Authors
BRAD WASSON
Principle Software Engineer, Data Services
Brad Wasson is a Principle Software Engineer in the Data Services group at MediaMath. He leads the design and build of the real time decisioning systems in MediaMath's data management platform. Prior to MediaMath he worked on the distributed systems that powered Akamai Technologies' Advertising Decision Solutions division. Brad has a BS in Computer Science from Rensselaer Polytechnic Institute.
BRAD WASSON
Principle Software Engineer, Data Services
Brad Wasson is a Principle Software Engineer in the Data Services group at MediaMath. He leads the design and build of the real time decisioning systems in MediaMath's data management platform. Prior to MediaMath he worked on the distributed systems that powered Akamai Technologies' Advertising Decision Solutions division. Brad has a BS in Computer Science from Rensselaer Polytechnic Institute.
articles by this author:
In this series we have been relating some adventures MediaMath has been having getting the NoSQL database Cassandra to work for our needs as we built out of our Data Management Platform service. As mentioned in our previous post we needed to do a fair amount of tuning in order to scale Cassandra to our workload. In this post we’ll focus on some of the techniques we developed (good and bad) in order to handle the rapid increase in our data ingest. Using a combination of freely available automation tools, building our own custom tooling and clever utilization of AWS […]
This is part one of a multi-part series exploring the successes (and scars) that we’ve had while tuning Cassandra to perform well in MediaMath’s Data Management Platform. Fast reads on time series data We use Cassandra as the backend data store for our Data Management Platform (DMP) system here at MediaMath. DMPs are used by advertisers to store their first party data as well as third party data segments they buy so that they can deploy these to bid on ad opportunities targeted audiences. This requires hardware that can handle extremely large volumes of data and then search them very quickly. We chose to […]
Today’s post picks up where we left off last week. As a refresher, here at MediaMath, we run a hybrid data center-cloud environment. In this two-part blog series, I will be highlighting a couple of the trickier aspects of this integration with a focus on maintaining data integrity between your in-house data centers and the cloud – specifically, an Amazon Web Services cloud. Go to part 1: VPCs, Jump Boxes, and NATs Using a NAT on a Public Subnet Some of our services need endpoints accessible from our in-house data centers. These services must go in a public subnet with […]
Here at MediaMath, we are building out new services for our hundreds of terabytes of data at a lightning fast pace. This isn’t your grandma’s software development shop. Using cloud services like Amazon’s EC2 service allows us to scale up our infrastructure to match this pace. However, MediaMath doesn’t run a purely cloud-hosted environment. Instead, we run a mixed data center environment, with a number of high performance components running in a variety of data centers throughout the world. That means that the new AWS-hosted pipelines and data stores we are building must integrate with our in-house data centers, which […]
