Solving the Rube Goldberg Challenge - Eliot's MongoDB World Weekly Challenge Week 6
As we came to the last week of Eliot's MongoDB World Weekly Challenge, we wanted to challenge your creativity by asking you to create a digital Rube Goldberg machine that used Stitch and as many APIs and services as possible. We had some great entries and the one that tickled us the most also had some of the most intricate code we saw in the entries, it stood out as a winner.
Stitch Triggers Get Scheduled
Stitch Triggers are powerful tools letting you run functions automatically when some change happens in your database or when a particular authentication event occurs. There is, though, another workflow where you may want to run functions automatically - at particular times of the day and regularly. This workflow applies to, for example, an evening consolidation run, an early morning validation, an afternoon report, or pulling fresh data regularly from an API. Now, a new breed of Stitch Trigger is answering that need. Say hello to the Scheduled Stitch Trigger .
How to create Dynamic Custom Roles with MongoDB Stitch
None of us want to write lots of code to control what data each user can access. In most cases, you can set up your data access controls in seconds by using Stitch's built-in templates. Stitch also lets you create custom rules that you tailor to your application and schema – this post creates such a rule, querying a second collection when deciding whether to allow a user to insert a document.
Stitching Sheets: Using MongoDB Stitch To Create An API For Data In Google Sheets
Thanks to MongoDB Stitch, it is easier than ever to integrate web services with MongoDB. In this example, we are going to use it to make calendar data flow between Google Sheets and MongoDB, complete with Google Sheets menus and an optional slack bot to access the data in MongoDB.
Build a Slack App in 10 minutes with MongoDB Stitch
Slack is not only the fastest growing startup in history , but it's also an app by the same name and one of the most popular communication tools in use today. We use it extensively at MongoDB to foster efficient communications between teams and across the company. We're not alone. It seems like every developer I encounter uses it in their company as well. One interesting thing about Slack (and there are many) is its extensibility. There are several ways you can extend Slack. Building chatbots, applications that interface with the communication service and extending Slack through the introduction of additional commands called "slash commands" that enable Slack users to communicate with external services. In this article, we'll build a simple slash command that enables users to store and retrieve data in and from a MongoDB database. I'm always finding interesting information on the internet that I want to share with my team members so let's build an application we'll call URL Stash that will store interesting URLs for later retrieval via a Slack slash command.