This presentation will include practical tips for crafting APIs that data scientists and machine learning engineers will love, along with code examples using Python and the FastAPI framework.
Data scientists are not like your average software developer. They want to use your APIs, but they have some unique quirks. To make them happy, you need to understand their needs: - Who are data scientists? - What tasks do they perform with your APIs? - What tools do they use? - What features are important to them?
Ryan is the author of Hands-on APIs for AI and Data Science, coming in May 2025 from O'Reilly Publishing.
Ryan Day is an advanced data scientist in the financial services industry. He is the author of the O’Reilly book Hands-on APIs for AI and Data Science that will be published in April 2025 (https://hands-on-api-book.com/)He is an AWS-certified solutions architect and member of the... Read More →
In this session, we'll dive into the world of secrets and configurations in a multi-cloud environment. Get answers to your questions like: What are secrets, and why are they so important for security? How do we use them effectively in our software environments?
We'll also discuss the critical role of configuration in the installation and integrating an oss tool. You'll also learn best practices for managing secrets and how templates for different configurations can accelerate adoption by streamlining setup.
Brian Vallelunga is the Founder and CEO of Doppler, which is the first secrets management platform for developers. Doppler empowers tens of thousands of engineering and devops teams to seamlessly orchestrate, govern, and manage their secrets across environments at scale. Brian has... Read More →
How could we design an API for querying data across all kinds of sources? How could we describe complex queries that join data across them? This problem is tough enough when all the sources are, say, Postgres, but what about when we need to join data from Postgres to MongoDB? Or an arbitrary CSV file? Or even another API? How do we talk about data access and manipulation in a way that makes sense for all these possible backends?
In this talk, we'll discuss how we've been designing a solution to this problem. We'll talk about some of the challenges in keeping API design consistent across data sources, balancing simplicity and expressivity, and even making all of this performant behind the infinite number shapes that a GraphQL request can take.
Tom lives in Barcelona with his partner and their cat, Beef. At Hasura, he builds compilers from GraphQL to SQL across a variety of different backend data stores. Outside of work, he's a runner, climber, and cyclist.
Scott McAllister, ngrok, Principal Developer Advocate
Diving into the world of API gateways often mirrors a rocky romance, full of high hopes dashed by frustrating challenges—from the enigmatic configurations that test our patience to security measures and scalability that flirt with our limits. Yet, in the heart of these frustrations lies the potential for a love story as we uncover strategies and workarounds that turn sour experiences sweet. This talk will take you on a swift journey from loathing to loving your API gateway, showcasing how our biggest grievances can transform into the very reasons we value using gateways when developing and deploying APIs.
Scott McAllister is a Developer Advocate for ngrok. He has been building web applications in several industries for over a decade. Now he's helping others learn about a wide range of web and infrastructure technologies. When he's not coding, writing or speaking he enjoys long walks... Read More →
