VPCs, jump boxes, & NATs: Part 1 of our Hybrid Cloud Tips & Tricks Series

// 11.12.2014 // Data

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 […]

‪Using data to inform product and feature prioritization decisions ‬‬‬

// 10.28.2014 // Product

As a Product Manager, I have become comfortable with the idea of having a never-ending to do list. There will always be more bugs to fix and features to build, and thus, knowing how to prioritize that list of feature requests and bug fixes is an important part of a Product Manager’s job. Building feature X might mean that you have to hold off on building feature Y, especially when development resources are at a premium – and let’s be honest, what tech company can say that dev resources aren’t at a premium. At MediaMath, data plays a vital role […]

Breaking the logjam

// 10.15.2014 // Infrastructure

At MediaMath, our infrastructure generates terabytes of business-critical messages every day, such as ad impression logs and tracking beacon events. A service we’ve developed within our TerminalOne technology platform, nicknamed the “MediaMath Firehose,” enables our internal analytics applications and bidding systems to generate meaningful insights and take action on all of the data from these messages in real time. This wasn’t always the case; traditionally, this data was made available in hourly or nightly batches. We needed a significant technical and cultural transformation to move from batching to streaming. When we first began architecting our data delivery systems in the […]

Family Ninjutsu: Coding like a teenage mutant turtle and still home for dinner

// 10.02.2014 // Culture

In some ways, I am my father. I live in the suburbs with my amazing wife and wonderful daughter and son. I value offensive line-play in real, I mean, American football. Vice grips are my favorite tool. I have trypophobia. In many other ways, however, I am not. I hate golf. I know the Contra 30-lives code. I like my steak rare and my Tom Waits loud. But perhaps most strikingly, I am a software engineer to his insurance salesman. My father made a living driving to the suburbs selling insurance to other suburb-dwellers. He burned through cars like I […]

‘Easy to code doesn’t mean easy to use’ and other lessons learned in web app development

“I have no idea what I’m doing.” – Me, on my first day at MediaMath While I had worked on dozens of software development projects for my computer science classes, I didn’t bring any web development experience to the table when I joined MediaMath’s Global Business Systems (GBS) team. GBS builds and maintains Knox, an internal-facing web app whose purpose is the standardization and automation of MediaMath’s financial processes. I needed to get up to speed on web development pronto. The biggest surprise to me was learning how multifaceted and multidisciplinary the field of web development is. Just wrapping my […]

From proof-of-concept to production: Building the centralized logging system using ELK

// 08.27.2014 // Platform API

As an intern on the Platform API team at MediaMath, I worked on developing an initial proof-of-concept for a centralized logging system, using the Elasticsearch, Logstash, and Kibana (ELK) stack. Before a centralized logging system was built, the Platform API team had the challenge of logs being scattered across multiple servers. Investigating issues meant having to search one server, then the next, and so on, and then stitching the evidence together to form a theory. It was hard enough to investigate an already reported problem. It was pretty much impossible to spot problems ahead of time. The solution: build a centralized […]

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