![]() Part1: Getting Started with MongoDB What is MongoDB? You’ll learn all this by implementing a simple web test script with Java and inside the script will allow you to create, update and get the data from MongoDB. Part 4: Continuous Integration with GitHub Actions Create the First test with Selenium WebDriver and MongoDB.Part 3: Integrate Selenium WebDriver with MongoDB Database The CRUD operations using MongoDB Java Driver.Install MongoDB Compass (GUI tool for MongoDB).Install and Configure MongoDB Community Edition locally.MongoDB Concepts (Databases and Collections).You’ll learn the following: Part 1: Getting Started with MongoDB ![]() In this tutorial, you’ll use MongoDB along with Selenium WebDriver to add a database layer to your test scripts. Need user accounts? You’ll need a database for that. ![]() Using Private Endpoint, your application servers can connect directly to Atlas allows you to privately connect without requiring an internet gateway or a NAT device.Most automated tests nowadays require test data to work. You can directly connect your VPC with the Atlas VPC created for your MongoDB clusters. MongoDB::Atlas::PrivateEndpoint - Process by which two internet networks connect and exchange traffic. Using network peering, your application servers can connect directly to Atlas while remaining isolated from public networks. ![]() You can directly peer your VPC with the Atlas VPC created for your MongoDB clusters. MongoDB::Atlas::NetworkPeering - Process by which two internet networks connect and exchange traffic. Each entry is either a single IP address or CIDR. MongoDB::Atlas::ProjectIPAccessList - Atlas allows only client connections to the cluster from entries in the project’s IP access list. Database users have access to MongoDB deployments but not the Atlas application. Database users are different from Atlas users. You can assign privileges to a database user to determine a user’s access level to a cluster. MongoDB::Atlas::DatabaseUser - Credentials used to authenticate a client to access a MongoDB database deployment. In Atlas, clusters can be replica sets or sharded deployments. MongoDB::Atlas::Cluster - A set of nodes comprising a MongoDB deployment and database. You can have multiple clusters within a single project and multiple projects within a single organization. MongoDB::Atlas::Project - A logical grouping of clusters. To view the created resources, choose the Outputs tab. Monitor the stack’s status, and when the status is CREATE_COMPLETE, the MongoDB Atlas deployment is ready. The stack takes about 10-20 minutes to deploy. Under Capabilities, select all of the check boxes to acknowledge that the template creates AWS Identity and Access Management (IAM) resources that might require the ability to automatically expand macros.Ĭhoose Create stack. On the Review page, review and confirm the template settings. On the Configure stack options page, you can specify tags (key-value pairs) for resources in your stack and set advanced options. For more information, refer to the AWS Partner Solutions Contributor’s Guide. Changing the values of these parameters will modify code references that point to the Amazon Simple Storage Service (Amazon S3) bucket name and key prefix. Unless you’re customizing the Partner Solution templates or are instructed otherwise in this guide’s Predeployment section, don’t change the default settings for the following parameters: QSS3BucketName, QSS3BucketRegion, and QSS3KeyPrefix.
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