Let us create the EC2 instance from the AWS Management Console in a public subnet in the same VPC where we had created our RDS database in the previous section.: Here we are using an EC2 instance in a public subnet as our jump host for connecting to an RDS database in a private subnet. A rough representation of this architecture is shown below: Creating an EC2 Instance as the Jump HostĪ jump host is also called a bastion host/server whose sole purpose is to provide access to resources in a private network from an external network like the internet. With our database created, we will next set up a jump host and populate inbound rules in the security groups in the following sections. When the database is ready to be used, we can see the endpoint of the database along with the port which we will use later to connect to the database. Our RDS database created in a private subnet is ready to use when the status changes to available We will also select Password authentication as the Database authentication option. We have also chosen the option to create a new security group where we will define the inbound rules to allow traffic from selected sources. We have used the default virtual private cloud(VPC) available in our AWS account and set the public access to No. Let us first create our RDS database using the AWS Management Console with MySQL as the engine type:įor creating the RDS database in a private subnet we have used the following configurations: Creating an RDS Database with Engine Type: MySQL However, this approach will work for all other databases supported by Amazon RDS. In this tutorial, we will use a jump host for accessing an Amazon Relational Database Service(RDS) database residing in a private subnet.Īmazon RDS supports multiple databases. This problem is addressed by using a server called “Jump host” that can receive requests from external sources over the internet and securely forward or “jump” to the database secured in the private subnet. If the database is not accessible from our local workstation, we need to seek alternate methods of testing like moving the compiled application code to the cloud environment each time we want to test which is not very convenient and results in reducing productivity with a poor developer experience. We usually run data manipulation queries in query editors provided by different database clients or from our application’s unit test cases to check out various scenarios during application development. This will however make it inaccessible to the database clients and applications running on our local development workstations. So these resources are protected from public access over the internet by placing them in a private subnet. Back-end server resources like databases often contain data that is critical for an application to function consistently.
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