|By Hon Wong||
|June 10, 2008 04:45 PM EDT||
Web applications built on a service-oriented architecture (SOA) promise to greatly improve IT efficiency and business agility. SOA establishes data and protocol standards so that existing internal and third-party application modules or services can be reused and orchestrated into business applications. Unfortunately, while SOA enables the rapid implementation of business applications, it also greatly increases the complexity of managing performance when these applications are deployed in production – often diminishing the benefits of the SOA adoption. Without an effective way of monitoring application performance, and quickly diagnosing and correcting problems, there is a high likelihood that an SOA application could be dead on arrival (DOA).
There are several aspects to implementing SOA that makes it difficult for IT to manage application performance:
Slowest Common Denominator: The service level of an SOA application is limited by the service level achievable by the worst-performing services it touches on the network. For maximum flexibility, services can even be supplied by third-party vendors and may be running on different computing platforms. This makes it virtually impossible for IT to characterize the performance of constituent services or control the numerous moving parts that can affect application delivery and performance. Reusing services also means that performance flaws found in common services are replicated across applications, creating multiple points of failure. As a result, it’s very difficult to determine quantitatively if the service level exceeds end-user expectation or, at a minimum, meets the performance targets stipulated in service level agreements (SLA).
Rube Goldberg Machines: For a Web-delivered SOA application, it is also difficult to quickly determine the existence and source of service delivery problems. Culprits can include any of a myriad “moving parts” in the delivery mechanism, such as the client’s PC, the Web cloud, the data center, the composite services, and/or third-party service provider’s services or infrastructure. No list of “likely suspects” can possibly be exhaustive enough for such a complex environment.
The Tangled Web: The task of diagnosing SOA application performance problems is further complicated by the lack of a predictable or pre-determined path a particular transaction takes when traversing though the application or infrastructure. Unlike client/server computing where, for example, an inventory lookup is routed through a defined network segment and is served by an ERP application installed on a fixed physical server, that same inventory lookup in an SOA environment can be routed dynamically through the Web cloud, and be served by multiple virtual or physical servers on multiple logical tiers of the infrastructure. A third-party Web Service call might also be initiated to a supplier’s infrastructure to account for any inventory en route from the supplier’s factory. This complex orchestration involving a non-deterministic transaction path makes re-creating and diagnosing performance problems very difficult.
|Chris Weiss 06/04/08 05:11:53 AM EDT|
This article exaggerates the performance and troubleshooting problems with SOA. Most of the time, simple logging is sufficient for identifying performance problems and transaction failures. Any technology that is misused will have performance problems. If a centralized orchestration platform is used (ESB, process controller, orchestrator, etc.), this piece of a SOA application can usually provide more than enough trace information to deal with problems.
The biggest problem with SOA is its overuse. Enterprises must identify "sweet spot" applications for SOA technologies. Otherwise, "traditional" application integration and construction methods work better. For example, instantiating an object and calling a class method is much faster than coupling two layers of an application with a web service call.
For client applications that place the orchestration on the client side, this is a mistake. Mash-up approaches are not appropriate for applications where transaction failures have real consequences. One of the serious mistakes in the application of SOA is to use Web 2.0 web interface analogies in the the lower layer of business technologies. However, a well written application that isolates orchestration away from the presentation layer can be monitored, measured and tracked and done so relatively easily.
Pragmatic SOA with structured design patterns used up front can get around many of the issues the author has identified. Sloppy spaghetti code without a coherent architecture in any platform will always be troublesome.
An explosive combination of technology trends will be where ‘microservices’ and the IoT Internet of Things intersect, a concept we can describe by comparing it with a previous theme, the ‘X Internet.' The idea of using small self-contained application components has been popular since XML Web services began and a distributed computing future of smart fridges and kettles was imagined long back in the early Internet years.
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