I recently wrote an email to an Irish Entrepreneur about the challenges of using Kubernetes and Kafka. I think both technologies are awesome, but I’ve seen in the past companies trying to integrate them without thinking about the managed services that exist out there. Kubernetes If you’re doing it yourself I’d look at https://docs.aws.amazon.com/eks/latest/userguide/getting-started.html which is from… Continue reading Why serverless matters or how do you want to spend your innovation tokens?
Today after over a decade of programming, I was reminded that programming is hard. I was committing a fix to PyMC3 (but it could have been any project, and I definitely make those mistakes professionally), and Thomas was good enough to point out ‘break-point committed’. JD Long shared his own war stories. The lesson I… Continue reading Coding is hard
I’ve been programming professionally for about 5 years now. So I don’t consider myself a brilliant expert. Never the less one thing I think that I’ve learned is that it isn’t about the ‘technical problems’ it’s about whether or not you solve a real-world or meaningful problem. Some people call these ‘business problems’ but they… Continue reading Why Zalando’s tech radar sucks as a stack
I caught up with Greg Linden via email recently Greg was one of the first people to work on data science in Industry – he invented the item-to-item collaborative filtering algorithm at Amazon.com in the late 90s. I’ll quote his bio from Linkedin: “Much of my past work was in artificial intelligence, personalization, recommendations, search,… Continue reading Interview with a Data Scientist: Greg Linden
The insightful Data Scientist Trey Causey talks about Software Development Skills for Data Scientists I’m going to write about my views on Code Review – as a Data Scientist with a few years experience, and experience delivering Data Products at organizations of varying sizes. I’m not perfect and I’m still maturing as an Engineer. A good… Continue reading Why Code review? Or why should I care as a data scientist.