Pattern Match, Poland
Software and Operations Engineer. During the day BEAM (Erlang and Elixir), DevOps and Cloud Computing enthusiast, during the night – meet-ups organizer, bookworm, and IT geek. Certified AWS cloud geek and co-organizer of Functional Miners meet-up in Silesia, Poland (an event about functional programming, paradigm and programming languages theory in general).
Functional Programming in Serverless World
Serverless is getting more and more attention in today’s world. Ease of use, the promise of infinite scale and reducing operational complexity to the minimal level – those are only a few of selling points of that particular “technology”. Unfortunately, we have limited choice when it comes to the languages and runtimes available in that environment. Service providers support only a fraction of platforms (to be perfectly honest – the most popular). By default, there are no functional languages available out of the box – assuming that we will not perform any additional work. But I did not surrender! If you are interested in how much yak shaving, frustration, and unnecessary work is required to bring our favorite functional flavors to the Serverless world – that talk is for you! And I can promise that at the end, I will not leave you without the reproducible and reliable solution.
Amazon SageMaker in Practice
At re:Invent in 2017 Amazon announced new service – SageMaker, that allows you to build, train and deploy ML models at any scale. Sounds fantastic, but is it true?
We challenged the marketing taglines and decided to test a specific use case which is familiar to us: ad targeting.
During the workshop, which is an adventure itself, we build an approximation of an ad targeting system with the use of Amazon SageMaker – from development to deployment. We show how with use of such service you can start small and be pretty confident about scaling up and expanding the system later.
We start from the ground up, so no worries – there is no need for previous experience with advertising systems and neither AWS, although general knowledge about machine learning or data crunching is a plus. If you were curious after the last year’s re Invent announcement, that is a workshop for you!
Date: October 11, 2018