We're sorry but this page doesn't work properly without JavaScript enabled. Please enable it to continue.
Feedback

How we run GraphQL APIs in production on our Kubernetes cluster

Formal Metadata

Title
How we run GraphQL APIs in production on our Kubernetes cluster
Title of Series
Number of Parts
118
Author
License
CC Attribution - NonCommercial - ShareAlike 3.0 Unported:
You are free to use, adapt and copy, distribute and transmit the work or content in adapted or unchanged form for any legal and non-commercial purpose as long as the work is attributed to the author in the manner specified by the author or licensor and the work or content is shared also in adapted form only under the conditions of this
Identifiers
Publisher
Release Date
Language

Content Metadata

Subject Area
Genre
Abstract
In this talk I would like to share the workflow and tools we use to build, deploy and operate GraphQL APIs on our on-premise Kubernetes cluster. I will share code and command examples explaining how we are operating our applications since our recent transition from REST APIs on Web servers to GraphQL APIs containers on Kubernetes. This talk will not be about the difference between REST and GraphQL but focus on the workflow, tools and experience we gained in switching our run time environments and API models. At Numberly, we have built and are operating our own on-premise Kubernetes cluster so we will also be talking about its capabilities and share some of the experience we gained in doing so. Proposed agenda: - Our previous workflow and its limitations - How we designed our Kubernetes cluster, its capabilities and the choices we made - Developer workflow, environments management and deployment - Our GraphQL stack, featuring a sample application - What we're still working on to improve
Keywords