Deliver superior customer experiences with an AI-driven platform for creating and deploying cognitive chatbots
Deliver Awesome UI with the most complete toolboxes for .NET, Web and Mobile development
Automate UI, load and performance testing for web, desktop and mobile
A complete cloud platform for an app or your entire digital business
Detect and predict anomalies by automating machine learning to achieve higher asset uptime and maximized yield
Automate decision processes with a no-code business rules engine
Optimize data integration with high-performance connectivity
Connect to any cloud or on-premises data source using a standard interface
Build engaging multi-channel web and digital experiences with intuitive web content management
Personalize and optimize the customer experience across digital touchpoints
Build, protect and deploy apps across any platform and mobile device
Rapidly develop, manage and deploy business apps, delivered as SaaS in the cloud
Joe McKendrick over at eBizQ blogged about two reports that say SOA is as good as you measure it - in essence saying that the key to SOA success is measuring it.
I'm a big fan of measuring things. If you can't measure the benefit of doing something, you need to think twice about whether you should be doing it at all. But, these reports miss the mark in a number of ways.
The first is that measuring SOA doesn't matter if you can't get buy-in to do SOA. You can build the best measurements in the world, but if your targets say that, after your large up-front investment, SOA will begin paying back in 1-2 years, you're probably not going to get the funding. Time to value is a critical component that can't be underestimated (especially in this economy). Risk / reward ratio is another critical component. Small investments that yield big returns in short time frames are what you need to be looking at if you want to get SOA off the ground.
This brings us to the second issue: Meaningful metrics. If you're a service provider business, you can certainly measure things like revenue-per-service, "service vitality", and ROI for revenue bearing services. But what the heck does this have to do with SOA? People have been building and delivering services that earn revenue long before SOA ever existed. And, how do these metrics work for companies that don't sell their electronic services? What's the directly measurable ROI for FedEx's free web service to do package tracking?
When you want to measure the ROI for SOA, you have to measure it versus alternative options. Building a revenue bearing service with a SOA architecture doesn't mean that the entire benefit for the service is attributable to SOA infrastructure. What you need to measure is the cost-to-build-with-SOA versus the cost-to-build-without-SOA (because, in either case, the revenue generated will likely be the same). Whether FedEx uses SOA behind their package tracking service doesn't change the business impact of electronic package tracking.
This is where things get complicated: How do you separate the real benefit of SOA from alternative approaches? This is where these reports further get it wrong. Most organizations never do a complete accurate costing of how to build something in two ways (with SOA and without) - so you can't measure the SOA ROI for a service. And, when people do generate these cost estimates, in reality they are often manipulated to ensure that the path they want is the one that looks good: so you can't trust these numbers. Similarly, metrics such as service reuse rate (versus rate of developing new services) are easily unintentionally manipulated. Build fewer services up front and you'll have better reuse rates (the metrics put pressure on not building services - exactly the opposite of what you want in a world where the culture is already to not build services).
There are certainly some metrics given in these reports which are meaningful. For example "mean time to service development" and "mean time to service change". Of course, these metrics aren't practical in the real world. Every service has vastly different complexity, so to get a real mean, you need 100s of samples (100s of services to be built and changed) before you get any real numbers. This will only happen years after you get started unfortunately.
So, all this talk about metrics is great, but don't be a measurbator. Make sure you put on your realism hat:
Metrics do have a place in SOA - to help refine it over the long run. But, people won't believe the metrics until they see results, which is why you can't start out that way. The best way to get SOA infrastructure off the ground is the time-proven method: Get a bunch of smart do-ers (not talkers or thinkers) on an important project that, using SOA, you can deliver quickly - and use this to gain mind share of what SOA can do.
View all posts from dan foody on the Progress blog. Connect with us about all things application development and deployment, data integration and digital business.
Copyright © 2018 Progress Software Corporation and/or its subsidiaries or affiliates.
All Rights Reserved.
Progress, Telerik, and certain product names used herein are trademarks or registered trademarks of Progress Software Corporation and/or one of its subsidiaries or affiliates in the U.S. and/or other countries. See Trademarks for appropriate markings.