Summary of Atlas App Services & Search

00:00:00 - 00:25:00

The video explains how to use Atlas as a one-stop solution for data persistence, creating APIs, and scaling globally. It covers how to create a search index and add Atlas App Services to an existing database, as well as how to implement authentication and graphql functionality.

• 00:00:00 This presentation explains how Atlas can be used as a one-stop solution for persisting data, creating apis, and scaling globally.
• 00:05:00 In this video, the presenter walks through how to create a search index and add Atlas App Services to an existing database. They also show how to implement authentication and graphql functionality.
• 00:10:00 The Atlas App Services & Search video covers how to implement email password authentication and data access rules for your GraphQL API.
• 00:15:00 Atlas App Services & Search is a video on how to create an aggregation pipeline and search index on top of your data. The aggregation pipeline uses a facet to get back the rows I like, start row, end row, and number of words searched. The search index can be created on collection level, and has an autocomplete index and behavior that adjusts the number of results displayed as you type.
• 00:20:00 In this video, Ruslan demonstrates how to implement real-time updates to data using the Atlas App Services SDK and the MongoDB Compass change streams. He shows how to attach to a customer's single view collection, filter for update events, loop over records, and update the data in the grid in real time.
• 00:25:00 Atlas provides search functionality similar to that of Elasticsearch. It is possible to translate Atlas search configurations into Elasticsearch configurations, but there is no automatic translation process. Additionally, Atlas provides support for custom mutations.