Friday, February 5, 2010
Best Performance Practices
As mentioned earlier, using “thin” services that require multiple trips to the server to obtain a complete response is one of the most common performance mistakes made with SOA. Most other SOA performance problems occur due to basic engineering errors such as miss-configurations (low memory pools, bad routings, etc.) which can be fixed with relative ease once identified. Performance problems caused by inappropriate initial design are much harder to correct:
· Inefficient implementation. The advent of high level and object oriented languages does not excuse the need to tighten algorithms. Many performance problems are the result of badly written algorithms or incorrect assumptions about the way high-level languages handle memory and other resources.
· Inappropriate resource locks and serialization. Just as it is not an good idea to design a four-lane highway that suddenly becomes a one lane bridge, best practice design avoids synchronous resource-locking as much as possible. Its’ best to implement service queues whenever possible to take advantage of the multitasking and load balancing capabilities provided by modern operating systems. Still, avoid using asynchronous modes for Query/Reply exchanges.
· Unbalanced workloads. This is a scenario more likely to occur when services must run from a particular server due to the need to keep state or because the services are not configured correctly. The more you can avoid relying on state, the more capable you will be in avoiding unbalanced workloads.
· Placing the logic in inappropriate places. Don’t let grandma drive that Lamborghini. Emerging web site implementations were developed with an organic view that placed business logic in the front-end portals. So-called Content Management Systems were developed to provide flexible frameworks for these web portals. Unfortunately, this architecture pattern leads to monolithic, non-scalable designs. Despite the assumed performance overheads implied by modular designs, it is best to put the business logic in back-end engines that can be accessed via services through front-end portals.
Designers aware of SOA’s inherent inefficiencies, tend to architect the system in a traditionally monolithic manner. However, it is a mistake to shy away from the use of services during the design phase just to “preemptively” alleviate performance concerns. You risk reducing flexibility in the design and this defeats one of the main reasons for the use of SOA.
There are many other, better ways to remedy the performance concerns of SOA:
· Applying best practices in service design. Watch for service granularity, service flows and the use of superfluous execution paths. For example, avoid “in-band” logging of messages (control messages mixed with the application data-carrying messages). That is, quickly copy the messages to be logged and handle them asynchronously to the main execution path. Make the logging process a lower priority than application work (alerts must be the highest priority!).
· In SOA, caching is essential. Caching is to SOA what oil is to a car’s engine. Without caching, there is no real opportunity to make SOA efficient and thereby effective. However, provided that the necessary enablers are in place (i.e. ability to use caching heavily), performance is an optimization issue to be resolved during system implementation (remember the dictum: Architecture is about flexibility; engineering about performance.)
· Finally, with SOA there is a need to proactively measure and project the capacity of the system and the projected workloads. Modeling and Simulation must be a part of the SOA performance management toolkit.
More on each of these next . . .