Introduction

BigBank (download) demonstrates a complete distributed, multi-cluster loan processing distributed online banking 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.

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• modern API tier that exposes REST services for account balance, financing (loans), and payments.
• A backend tier that simulates legacy services accessed vis Web Services (WS-*) and JMS.
• A high-performance, event-driven fraud detection subsystem built using ZeroMQ.

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 servicesruntime images in /servers.

2. Start the

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servers

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mvn clean install

When the build has completed, boot the Fabric3 runtime from the servers/server-backend/vmtarget/image/bin directory by executing:

java -jar server.jar

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

3. Deploy the archives

Copy bigbank-loan-<version>.jar to the severs/vm 

Next, boot  the Fabric3 runtime from the servers/server-frontend/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.

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bin. 

3. Run the clients

From your IDE, launch one of the client clients 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.the client module. 

Understanding the Architecture

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