Welcome!

Recurring Revenue Authors: Zakia Bouachraoui, Yeshim Deniz, Pat Romanski, Liz McMillan, Elizabeth White

Related Topics: Microservices Expo

Microservices Expo: RSS Feed Item

Agile SOA Across the Lifecycle - Part Five: IT and SOA Governance

This is the fifth of a six part series of posts on the Agile SOA life cycle

This is the fifth of a six part series of posts on the Agile SOA life cycle. Here we will at look at IT and SOA Governance. With the introduction of agile, spiral, and scrum development methodologies, the traditional waterfall development approach of testing a near-finished app at the end of many Agile development cycles won't be agile at all, as the elements of the application are constantly changing.  Traditional models of IT governance will also not work. To aggravate testing, the service-oriented architecture (SOA) design pattern is used to make IT  more responsive to changes requested by business. New process tooling has been introduced to specifically assist in the cataloging of service assets, and organization of policies governing SOA. This new set of tooling created to support SOA revolves around governance platforms like HP Systinet / S2, SAG Centrasite, SOA Software, TIBCO ActiveMatrix and Oracle Fusion. These SOA Governance tools manage the collection and cataloging of metadata about services, and organize the interdependencies they have with each other, along with the documentation of SOA Policies to define how combined services should meet business requirements.  Within the Governance toolset, SOA Registry/Repositories provide a new platform for LISA to automate testing and validation.

The traditional system requirement and functional testing will still occur, but in a SOA there are more opportunities to automate the validation and enforcement of policies. The current thinking around SOA Governance is largely siloed and specialized around design-time WSDL validation, runtime performance, and security policy enforcement.  As SOA Governance matures to support robust and widely diverse SOA initiatives, this thinking must expand dramatically. One of the greatest values a SOA Governance platform must provide is the proof that policies written in human or business terms are in fact implemented in the system, on a continuous basis. Validation with our LISA solution takes the form of positive and negative tests on the use of these policies, which are executed continuously at change and runtime, as services and their underlying technologies and data are constantly changing and evolving. The validation of the LISA test becomes a demonstrable artifact for exposing and enforcing SOA Policy, within the changing workflow of the SOA Governance framework. Example Scenario of Validating SOA Policies Let's look at a sample deployment, a series of web service definitions, as WSDL files, are loaded into the UDDI registry.  The relationships of the services to each other, and the documentation of how they can be tied together to create a business process is documented.  For a new employee introduction, there may be a series of services from the human resources package to identify the employee's location and managers, there are services that provision IT resources like computer and e-mail, and services to a external partner for insurance and benefits enrollment.  These services would be documented via their WSDLs and stored in the UDDI registry.  A HR-to-payroll business process will be defined utilizing these assets. This all seems simple as long as each participant in the business process provides a well documented, functioning, reliable, and secure service.  The policies around the structural, behavior, and performance of these individual services are documented the governance tool.  For example, the business analyst will write policies in a tool like CentraSite ActiveSOA, describing the behavior of the services.  The IT service will accept a new employee's name and id number and return an e-mail address, domain login, and default password.  The security service will accept the manager and role and provision the appropriate access control to systems for the new employee. The security manager will specify that the services must only run if encrypted and signed data is sent to them.  The signature must be validated against the companies master certificate provider to prove that the request is from only authorized HR personnel.  Lastly, the IT operations team will provide policies around how many transactions per second (TPS) the service should handle, and the maximum response time the service will take, so the component will be a good participant in a decomposed transaction. That's far too many steps to carry out if it's a strictly manual validation process. The execution of the tests needs to live within the SOA Governance process. Testing, Validation and Policy Enforcement SolutionsGiven all of the processes enterprises must employ to manage the design, construction, integration and management of the IT environment, it makes sense to have a common, reusable way to apply validation and enforcement across these processes. SOA Validation -becomes the long arm of the law- with reusable and rich testing that merges into the workflow of each of these processes, and the tools that support them. The Validation arm shown above (with our LISA as the "long arm") provides capabilities to run test cases to verify different rules and policies defined in leading IT process tools. The policing action is accomplished by tying automatic running of tests to the expected behaviors and policies in the workflow of the process tool.  The invocation of  tests from a governance platform to ensure SOA policy is similar to the policing action done for test management solutions, the biggest difference is the context and stage in the lifecycle of the component that needs to be verified.  In a traditional test of a waterfall development there is a specific point in time in which the system is tested and deemed ready for production.  In today's services-based applications, there is no longer one point in time in which we can identify a test run to ensure quality of the application. In a SOA lifecycle, we think of design time, run time, and change time as the three stages of a service or business process being constructed within these loosely coupled systems.  In the example above some of the services are interactions with packaged applications (HR system), some from home grown systems (IT user and security provisioning), and other from external partners (benefits).  The development and release cycles of these three areas will be different and will not be coordinated for a single big bang release.  One advantage of SOA is the ability to decouple systems and utilize services created by different parties instead of building everything yourself. At design time, a test will be run to make sure that WSDLs are WS-I compliant, that they follow an RPC or doc-literal call structure, and that a customer-specific XML tag is used for service identification.  Based the on passing of a compliance test, the WSDL will then be made available in the Repository for developers to code the functionality behind it.  Once the developers have created the necessary code to implement the service and its underlying technology components, the behavior and security of the service needs to be validated.  The only way to verify if the code behind a service is working properly, since there are no hard-coded responses in the real world, and that security is respected, is to invoke the service, then verify that the underlying systems of record are updated properly. Again, a test case is used to invoke and verify that the business requirements and the behavioral and security policies have been implemented. If the candidate Service can pass these Policy tests, it can now be published in the registry for a consumer to use.  If these tests fail, the service should not be promoted for availability to consumers in the registry. As a best practice, the individual services should undergo load testing once they are made available. Far less risk is introduced if we test for load while the components are being built, when something can be done to improve performance issues, rather than waiting until the system is deployed, when issues are much more costly to repair. Progressive development shops start their load testing once the service functionality has been verified, so that developers can make code changes, and optimize logic and data access before consumers start utilizing the service. In run time, the service is now promoted to the Registry, along with a test that demonstrates its functionality, and made available for consumers to leverage as part of their own application workflows. These consumers also bear responsibility for validating that their intended use of the service is actually supportable. The best way to do this is to create an executable test asset to validate that the structural, behavioral and performance aspects of the overall consumer's workflow are supported when the service is leveraged. This will pay big dividends when the test is run continuously as part of the governance process. The final stage is change time. This is when the true advantages of SOA and agile development come into play. If a new service needs to be added, or a modification to a existing service needs to be made to respond to changing business requirements, the policies for the service must be re-verified.  Not only do we want to update any behavioral policy with the new expected behavior, but the regression of existing policies must occur. Put yourself in the place of the consumer of a service. How can you trust that changes will not create unintended consequences (e.g. failures) for a service you depend upon, and break your existing business processes?  Each consumer needs to place their expected behavior as a policy in the registry, with an accompanying test, so that it can be automatically validated before that change is made.  The automated structural and behavior policies in the test represent the consumer???s rights ??? and their responsibility for using the services as defined. When these tests run automatically as part of SOA Governance, trust between service consumers and producers is achieved. For more on SOA governance see Joe McKenrick's posting of the full transcript of a recent eBizQ SOA governance panel that John Michelsen participated in. In our next post, we will provide our conclusions. You can download this complete series as the "Agile SOA Across the Lifecycle" at our ITKO LISA resources page. 

Read the original blog entry...

IoT & Smart Cities Stories
Nicolas Fierro is CEO of MIMIR Blockchain Solutions. He is a programmer, technologist, and operations dev who has worked with Ethereum and blockchain since 2014. His knowledge in blockchain dates to when he performed dev ops services to the Ethereum Foundation as one the privileged few developers to work with the original core team in Switzerland.
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereal. Andrew's role at ConsenSys Enterprise is a mul...
Whenever a new technology hits the high points of hype, everyone starts talking about it like it will solve all their business problems. Blockchain is one of those technologies. According to Gartner's latest report on the hype cycle of emerging technologies, blockchain has just passed the peak of their hype cycle curve. If you read the news articles about it, one would think it has taken over the technology world. No disruptive technology is without its challenges and potential impediments t...
If a machine can invent, does this mean the end of the patent system as we know it? The patent system, both in the US and Europe, allows companies to protect their inventions and helps foster innovation. However, Artificial Intelligence (AI) could be set to disrupt the patent system as we know it. This talk will examine how AI may change the patent landscape in the years to come. Furthermore, ways in which companies can best protect their AI related inventions will be examined from both a US and...
In his general session at 19th Cloud Expo, Manish Dixit, VP of Product and Engineering at Dice, discussed how Dice leverages data insights and tools to help both tech professionals and recruiters better understand how skills relate to each other and which skills are in high demand using interactive visualizations and salary indicator tools to maximize earning potential. Manish Dixit is VP of Product and Engineering at Dice. As the leader of the Product, Engineering and Data Sciences team at D...
Bill Schmarzo, Tech Chair of "Big Data | Analytics" of upcoming CloudEXPO | DXWorldEXPO New York (November 12-13, 2018, New York City) today announced the outline and schedule of the track. "The track has been designed in experience/degree order," said Schmarzo. "So, that folks who attend the entire track can leave the conference with some of the skills necessary to get their work done when they get back to their offices. It actually ties back to some work that I'm doing at the University of San...
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science," is responsible for setting the strategy and defining the Big Data service offerings and capabilities for EMC Global Services Big Data Practice. As the CTO for the Big Data Practice, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogge...
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more busine...