#Robo 3t linux code#
#Robo 3t linux password#

When finished creating the rule, choose Save.Īmazon DocumentDB clusters are deployed within an Amazon Virtual Private Cloud (Amazon VPC).Description-Enter a description for this rule.If you choose Custom, specify a single IP address or an IP address range in CIDR notation (e.g., 203.0.113.5/32). From the list, choose the traffic source. Source-Specifies the traffic that can reach your instance.Be sure that the port number or range includes the port you specified when you created your cluster (default: 27017). Port Range-For a custom rule, enter a port number or port range.Protocol-From the list, choose the type of protocol.Type-From the list, choose the protocol to open to network traffic.From the Actions menu, choose Edit inbound rules then choose or enter the rule constraints. From the list of security groups locate the security group you used when creating your cluster (it is most likely the defaultsecurity group) and choose the box to the left of the security group’s name. In the Resources section of the main window, choose Security groups. Sign in to the AWS Management Console and open the Amazon EC2 console at. To add an inbound connection to your cluster’s security group Enable inbound connection for your cluster’s security group.In the Authentication section, enter a username and password.On the Create Amazon DocumentDB cluster page, for Number of instances, choose 1 to minimize costs.On the Amazon DocumentDB console, under Clusters, choose Create.To create your cluster on the console with the smart defaults, complete the following steps:

#Robo 3t linux password#

master-user-password password Creating your cluster on the console

#Robo 3t linux code#

To create a cluster using the AWS CLI with smart defaults, use the following code for Linux, macOS, or Unix: If you have an existing cluster, skip this step. You can create an Amazon DocumentDB cluster using the AWS Command Line Interface (AWS CLI) or the AWS Management Console. The following diagram shows the final architecture of this walkthrough. Robo 3T makes you more efficient by giving you the ability to create databases, collections, add users, documents, execute one-time queries with auto-completion, and visualize results from a GUI interface.įor this post, you create a single instance Amazon DocumentDB cluster inside your VPC, an EC2 Linux VM in the same VPC, set up an SSH tunnel between the two, connect to your cluster using Robo 3T, and run a few queries from your local computer. Robo 3T is a lightweight, open-source, shell centric, cross-platform graphical user interface tool for managing MongoDB workloads. In part 3 of this series, this post shows you how you get started with Amazon DocumentDB and Robo 3T (formerly Robomongo). As a document database, Amazon DocumentDB makes it easy to store, query, and index JSON data. You can use the same MongoDB 3.6 or 4.0 application code, drivers, and tools to run, manage, and scale workloads on Amazon DocumentDB without having to worry about managing the underlying infrastructure. Amazon DocumentDB (with MongoDB compatibility) is a fast, scalable, highly available, and fully managed document database service that supports MongoDB workloads.