Building an AI-powered workplace ticketing system on MongoDB Atlas at Spoke
At every company, workplace teams are flooded with hundreds of questions on a daily basis. Support ticket platform, Spoke, aims to drastically simplify managing and responding to these time consuming queries. But Spoke goes beyond traditional ticketing with their friendly, AI-powered chatbot that gives workplace teams hours of time back as it automatically responds to questions on Slack, email, SMS, and web. And the more employees ask, the more Spoke learns.
Replace tedious coding with MongoDB Stitch and public APIs
Do away with tedious, generic application code using public web APIs and MongoDB Stitch. This post shows how to use the Stitch HTTP service, a Stitch Function, and a public API to validate form data in a website.
MongoDB Stitch Triggers & Amazon Kinesis – The AWS re:Invent Stitch Rover Demo
Using MongoDB Stitch Triggers to push data from our MongoDB Stitch/Mobile rover onto an Amazon AWS Kinesis stream.
MongoDB Stitch Functions – The AWS re:Invent Stitch Rover Demo
Using MongoDB Stitch functions to aggregate sensor data from our re:invent MongoDB Mobile/Stich Mars rover
MongoDB Stitch Mobile Sync – The AWS re:Invent Stitch Rover Demo
MongoDB Stitch Mobile Sync powers the MongoDB rover by synchronizing commands between MongoDB Atlas in the cloud and MongoDB Mobile running on a Raspberry Pi.
MongoDB Stitch QueryAnywhere – The AWS re:Invent Stitch Rover Demo
The MongoDB Stitch rover demonstrates MongoDB Stitch QueryAnywhere by recording commands in MongoDB Atlas directly from the web app frontend.
MongoDB Stitch/Mobile Mars Rover Lands at AWS re:Invent
Powered by MongoDB Mobile, MongoDB Stitch, and AWS Kinesis, the MongoDB Rover debuted at AWS re:Invent. Hundreds of delegates stopped by our demo to see if they could navigate the rover around a treacherous alien landscape.
Building iOS and Android Apps with the MongoDB Stitch React Native SDK
Create React Native mobile apps for iOS and Android using the MongoDB Stitch React Native SDK
New to MongoDB Atlas — Get Started with Free Fully Automated Databases on Microsoft Azure
We’re excited to announce that teams can now use MongoDB Atlas — the global cloud database for MongoDB — for free on Microsoft Azure. The newly available free tier on Azure Cloud, known as the M0, grants users 512 MB of storage and is ideal for learning MongoDB, prototyping, and early development.
The Atlas free tier will run MongoDB 4.0 and grant users access to some of the latest database features, including multi-document transactions, which make it even easier to address a complete range of use cases with MongoDB; type conversions, which allow teams to perform sophisticated transformations natively in the database without costly and fragile ETL; and updated security defaults (SHA-256 and TLS 1.1+).
Like larger MongoDB Atlas cluster types, M0 clusters grant users optimal security with end to end encryption, high availability, and fully managed upgrades. M0 clusters also enable faster development by allowing teams to perform CRUD operations against their data right from their browsers via the built-in Data Explorer.
Finally, free tier clusters on Azure can be paired with MongoDB Stitch — a powerful suite of serverless platform services for apps using MongoDB — to simplify the handling of backend logic, database triggers, and integrations with the wider Azure ecosystem.
At launch, the MongoDB Atlas free tier will be available in 3 Azure regions:
- East US (Virginia)
- East Asia (Hong Kong)
- West Europe (Netherlands)
Creating a free tier is easy. When building a new Atlas cluster, select Azure as your cloud of choice and one of the regions above.
Next, select M0 in the “Cluster Tier” dropdown.
Then, give the cluster a name and hit the “Create Cluster” button. Your free MongoDB Atlas cluster will be deployed in minutes.
Working with MongoDB Stitch Through Existing Drivers – Python & PyMongo
You can now access MongoDB Stitch (and Atlas behind it) using any of the existing MongoDB Drivers – this post shows how to do it using the PyMongo Python Driver.