A stock broking company makes use of CloudHub VPC to deploy Mule applications.

Requirement Analysis: The Mule application needs secure access to both an on-premises database and a Kafka cluster in AWS VPC.

Solution: Setting up Anypoint VPN for the on-premises corporate data center and VPC peering with AWS VPC ensures secure and seamless connectivity.

Implementation Steps:

Anypoint VPN Setup:

In the Anypoint Platform, navigate to the VPN configuration.

Create a new VPN connection between the CloudHub VPC and the on-premises corporate data center.

Configure the necessary VPN parameters such as IP address, shared secret, and routing information.

Establish the VPN tunnel and verify connectivity.

VPC Peering Setup:

In the AWS Management Console, navigate to the VPC dashboard.

Create a VPC peering connection between the AWS VPC (where Kafka is hosted) and the CloudHub VPC.

Configure the necessary route tables to allow traffic between the peered VPCs.

Verify the peering connection and ensure that the routing is correctly set up to allow communication between the Mule application and the Kafka cluster.

Testing: Conduct thorough testing to ensure the Mule application can securely connect to both the on-premises database and the Kafka cluster in AWS.

Advantages:

Security: Ensures secure communication channels between CloudHub VPC, on-premises data center, and AWS VPC.

Reliability: Provides a robust and reliable network setup for accessing critical infrastructure components.

References

MuleSoft Documentation on Anypoint VPN

AWS Documentation on VPC Peering