Faster than a speeding service

January 8th, 2008 by Kyle Gabhart

“SOA is fine, unless of course you want a system with decent performance.”
“XML is slow and all the added layers that SOA demands will cripple any marginally high-transaction system.”

I’ve heard uneducated statements like these, and many others regarding SOA, XML, and the prospect of service orienting high performance, mission-critical systems. The truth is, that these statements are ill-informed and those that make them rarely have anything beyond vague anecdotes from “some Fortune 500 company a few years ago” to back them up.

Generalizing SOA

First, we’ll start with some broad sweeping generalizations regarding SOA. These have some truth to them and do, in fact, characterize a typical utilization of SOA. In general, SOA is realized as follows:

  • Multiple layers of abstraction
  • Standard XML message format (typically SOAP)
  • Standard Web transport (typically HTTP)
  • Non-reliable (no guaranteed delivery by default)
  • Oriented more toward reuse and agility rather than performance or scalability

Breaking the perception barrier

There is more than one way to skin a cat and there is more than one way to implement SOA. HTTP is simple and cheap, but not robust or performant. HTTP-based SOA’s are certainly the most common as they are simple to setup, simple to exploit, cheap, and widely available. The problem is that HTTP isn’t reliable, suffers from high latency, has limited bandwidth, and does not offer any sort of message buffering or message durability. High performance SOA solutions must take a different approach. Messaging middleware solutions such as IBM WebSphere MQ, SonicMQ, or TIBCO hold one answer. These platforms are designed with scalability and performance in mind and are increasingly supporting SOA right out of the box.

High Performance SOA

Designing a high performance SOA solution is possible. Gerardo Pardo-Castellote, PhD, recommends the following steps:

  • Select a Messaging Fabric/Bus
  • Select an appropriate Architecture (hub-spoke, clustered, federated, peer-to-peer)
  • Identify Quality of Service requirements (reliability, latency, flow control, lifespan, history, transport priority, etc.)
  • Leverage Performance Technologies (multicast, message batching, asynchronous writes, compression, etc.)
  • Select and monitor appropriate Metrics (throughput, latency, scalability, etc.)

Still skeptical? Consider the following examples:

As with so many things, there just is no simple answer. The only absolute is that there are no absolutes. SOA is a style of enterprise architecture for which the focus tends to be more upon flexibility and reuse. However, to the extent that solution performance is a priority, the architecture can be tweaked accordingly.

For further reading on this topic, I suggest the following:

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