Introduction

BigBank demonstrates a complete distributed, multi-cluster loan processing application. BigBank is organized into several architectural tiers:

• A loan service responsible that receives and processes loan applications over multiple transports, including Web Services (WS-*), REST/HTTP, and file-system messages.
• A back-end rating system responsible for performing credit checks and application scoring.
• A database for persisting loan application data.
• Client applications that remotely connect to the loan service and submit applications.

BigBank can be deployed to the single-VM runtime used for the starter examples or to the cluster topology that is configured under servers/cluster. In either case, application configuration remains the same.

Getting Setup

To build and deploy BigBank to the single-VM server, do the following.

1. Build the BigBank source

To build BigBank, go to apps/bigbank/bigbank-loan and execute: mvn clean install_.

The build will produce the bigbank-loan-<version>.jar archive containing the loan services.

2. Start the server

Build the single-VM Fabric3 runtime in /servers/vm by executing:

mvn clean install

When the build has completed, boot the Fabric3 runtime from the server/vm/image/bin directory by executing:

java -jar server.jar

Alternatively, the server can be started by providing the path to the seerver.jar archive relative to the current directory. e.g.:

java -jar target/image/bin/server.jar

3. Deploy the archives

Copy bigbank-loan-<version>.jar to the severs/vm/target/image/runtimes/vm/deploy directory.

Note that in a production system, it is recommended to use the Fabric3 administration client, which is separately downloadable.

4. Run the clients

From your IDE, launch one of the client located in bigbank-client src/main/java/org/fabric3/samples/bigbank/client. The client will submit a loan application an wait for it to be processed.

Understanding the Architecture

The next section explains the BigBank application architecture in detail.