MONGODB ATLAS SOFTWARE
The Postman team did a great job at making it easy and intuitive for software vendors to integrate the Run in Postman button with their platform. How MongoDB Atlas integrated with Postman You can learn more about the Data API and how you can use it with Postman in the MongoDB podcast’s episode featuring Postman Senior Developer Advocate Arlemi Turpault. From there, you will be able to pick the environment created for you. This will fork MongoDB’s Data API collection to your own workspace. You can test your API in Postman by using the Run in Postman button from the Atlas UI This will open a modal where you’ll see the Run in Postman button. Click on the green Test Your API button in the upper right corner.From the left navigation bar, select Data API and toggle the feature on your cluster.Create a cluster following the steps in the documentation.If you don’t have one, you can create one for free. With the integration of the Run in Postman button, you can try out the API with a single click. The Data API is now easier than ever to use in MongoDB Atlas.
MONGODB ATLAS CODE
Whether it’s to test out your code or clean up a collection after a test run, there are times when using a REST API makes more sense.
A Zapier zap that would write to MongoDB Atlas each time a pull request is created, and then create an issue in Jiraįinally, as a software engineer, there are times when you just want to access your database quickly. While using the Data API with IFTTT to track cat litter might not be everyone’s top priority, the same simple setup holds true for every low-code or no-code tool you might use with the Data API, including business-centric tools like GitHub or Jira with Zapier. This could make it easier to track your cat’s health. For example, one could write an entry into a MongoDB collection each time their cat uses their litter box, using some of the IFTTT integrations. This URL can now be an Atlas Data API endpoint, enabling those platforms to directly write data to a collection without needing a third-party application to relay the information. Those platforms can also trigger a REST call to a URL based on specific events. If you take a product like Zapier or IFTTT, you can create data flows across various applications. As part of a pipeline, an engineer might want to persist some information about the latest run in a database.Īnother frequent use case is for low-code or no-code applications. Another everyday use case is with CI/CD pipelines.
For example, this Wordle clone written in Bash reads a random five-letter word from a MongoDB collection to initialize the game. Using this new MongoDB Data API, it is now possible to use a `curl` command to interact with data from a collection. This requires additional work and creates code that is harder to maintain. To write or read from a database, developers need to call a script or an application written in a different language.
MONGODB ATLAS DRIVER
Some programming languages just don’t have a driver available.
MONGODB ATLAS DRIVERS
However, there are cases where those drivers are not enough.
MongoDB provides drivers for all the major programming languages and makes it simple for software developers to use a syntax they are familiar with to connect to their database. One of these new features is the Atlas Data API, enabling developers who are used to working with REST APIs to connect to their database over a similar interface easily.īecause MongoDB aims to provide the best developer experience possible, it only made sense to help developers connect to the best API testing tool to explore this new API. The cloud offering, MongoDB Atlas, provides a collection of services that developers can use to make it easier than ever to build applications. Over the years, the product evolved into much more than a database.
MongoDB started off as a general-purpose NoSQL database back in 2009. This is a guest post written by Joel Lord, developer advocate at MongoDB.
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