So you spent all this time building and deploying your GraphQL API but your users are reporting slow queries and crashes. Before you can pinpoint those issues you first need to know how many requests you are getting, what each query was, and what’s going on in your resolvers. Join Dan where you will learn what observability is, how you can install it onto your GraphQL API, and how you can use it to improve your user's experience.

In February this year Apollo launched the Apollo Language Server and plugins for VSCode, JetBrains IDEs and others. This talk tells the story of integrating the Apollo Language Server with Rover, Apollo's CLI tool.

The refactoring this launch took, the capabilities unlocked and the talk will also feature a demo of the Apollo Language Server with Apollo Connectors for REST APIs, showcasing how REST APIs can also be brought onto the Graph.

GraphQL has exploded in popularity since its public launch in 2015, and PostgreSQL is still going strong after almost 30 years of development, gaining market share and impressive features at an ever increasing rate.

These tools can pair beautifully, in particular because they're both strongly typed and declarative. In this talk, we'll learn how combining these two technologies can lead to massively increased software development and delivery speed, faster APIs, fewer bugs, and ultimately enable you to focus on delivering value on the frontend rather than maintaining three different layers of data models and associated logic on the backend (DB, application, API).