Using GigaSpaces to Trade in the EC2 Cloud

One of the GigaSpaces customers I have been working with recently is called Orbyte Solutions. The team behind Orbyte have many years experience developing FX Trading and Spread betting platforms for large banks and financial organisations. The Retail CFD, FX and SpreadBetting is a highly competitive market which operates on tight spreads and low commissions. Clients are sophisticated and expect product innovation, advanced trading features and above all being able to trade quickly in any conditions.

The key drivers for these businesses to remain competitive can be summarised as:

- Consistent, reliable and efficient service delivery under any market conditions

- Product innovation and time to market

- Cost effectiveness

Historically the platforms which support these businesses have been based on a tier architecture (at best 3-tier at worst 2-tier). They are often heavily reliant on relational databases. Sometimes they implement some level of data caching and messaging. Orbyte observed that most companies in this sector have developed these caching and messaging components internally. What might have given them a technical edge 10 years ago have now become a burden with a high cost of ownership. Using GigaSpaces Orbyte have built solutions that allow Retail CFD, FX and SpreadBetting businesses can get more “bang for their buck” by moving away from the traditional tier-based model and internally developed “plumbing” components (messaging, caching, and deployment).

As GigaSpaces makes it easy to build systems that work as easily on the Cloud as they do internally Orbyte have been able put a demo of their system on the Amazon EC2 Cloud.

In terms of EC2 instances - this is currently running on

  • 1 x m1.small - GigaSpaces Grid Service Manager
  • 1 x c1.xlarge - Instance - Grid Service Containers
  • 1 x m1.small - Windows Small Instance - .NET Web Services

**Until 5PM GMT 23rd April the demo system will be live on the EC2 Cloud for you to have a sneak peak**.

You can use the connection details below.

The connection details are below:
username: test01
password: 1515

username: test02
password: 1515

username: test03
password: 1515

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