As enterprises move into a new era of content-as-a-service, digital transformation and moving into the marketing cloud, a pressing issue remains: How to go about closing the chapter of legacy solutions and code, otherwise known as technical debt.
GraphQL is well on its journey of matching REST API’s popularity, making the question of its future role extremely relevant, not only for the technical audience but for anyone leading or involved in the building of digital businesses or processes of digital transformation.
I'm really excited that 2019 is just around the corner. Even though it's coming into holiday season we're still hard at work pushing improvements and updates to Contentful that you can check out on our Changelog. In this month's update we'll be highlighting combining Mailchimp with Contentful Webhooks, GraphQL schema stitching, and some services to make building things simpler.
Every Contentful user has their own content model, which consists of varying content types. With no two users’ content models being the same, each user’s data model is used to generate a GraphQL schema that is tailored to them. This means we have a slightly different set of challenges compared to the average user when they use GraphQL or build GraphQL APIs. Dynamic schema generation works with the GraphQL API to generate GraphQL schemas that address different, changing models. In this article, you will learn more about this fresh approach and how it works to your benefit.
In the early days of computers and the web, security was a very straightforward and seemingly simple thing. You had two strings — a username and password — that served as access keys to virtually unlock a login screen or dialog box. The vast amount of connectivity we have today has changed everything, including practices with passwords. Therefore, it’s important to know the differences between current practices and ones that have fallen out of relevance.
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