I have worked as a chief architect in online advertising for over 15 years, solving large-scale technical challenges. I have a deep understanding of using technology to solve business problems. I co-founded 7d, Wunderloop, which was was acquired by AudienceScience in 2010. Over the years, I have learned my strengths lie in: finding the right technical approach and solution to a problem, diagnosing and troubleshooting large scale production system issues, and guiding, supporting, and teaching teams to solve those problems.
At AudienceScience I was responsible for the overall architecture and achieving the scale needed to serve our clients (> 1 million transactions per second, 10’s of billions of records, and multiple petabytes of data). We operated 5 data centers worldwide, mixed with a Dockerized cloud environment to achieve low latency response times for our real-time bidding platform and data management platform. We streamed billions of records to a central processing data center to update data stores and generate customer reports, and together with our India development team, I redesigned the backend storage and processing to yield an order-of-magnitude better performance and efficiency.
I enjoyed working with distributed international development teams in the US, India, and Europe, as I guided and taught them how to solve their goals. I regularly traveled between offices to improve communication and relationships, and served as a resource and systems expert for the entire engineering team and my colleagues.
As a German engineer, I am passionate about learning new things, and always look to understand the cutting edge to see if and where it fits into the current system. I am looking for my next interesting challenge, and am open to new problem domains outside online advertising, so please reach out through this profile!
- Scale15.06.2021 21:20 – 21:50Frannz SalonAdvanced
Kubernetes get the container running platform to use with really easy add or remove resources. For real 12 factor app this is strait forward and the good way to go.
The challenge comes if you have long running (stateful) apps or big data apps like hadoop, spark, flink,...