Beemaster ICT offers their BeeBox Enterprise Service Bus, a lightweight, Service-oriented integration platform that supports Cloud capabilities as part of its core design, including multitenancy,
Choosing the right governance tooling requires careful consideration of specific attributes of the enterprise domain, including an inventory of the major SOA resources such as data, Services, and processes, as well as interactions and dependencies, and how all relate to the notions of policy management, service agreements, and security.
SOA governance, both at design time and run time, is a recognized requirement for all SOA initiatives, and as a result, there are several products on the market that address such needs. These products, however, tend to be enterprise-class, comprehensive solutions with enterprise-class pricing. Many organizations, however, require a more focused solution at a more palatable price point.
One vendor who is targeting design time SOA governance at such a price point is Sensedia. Sensedia offers design time SOA governance products that enable enterprises to manage and reuse their SOA and other software development assets. Sensedia’s products reduce redundant development, accelerating ROI and improving SOA governance through the identification, creation, management and quality analysis of SOA project assets.
The use of unstructured data within enterprises today has been more art than science, and in most cases an opportunity that many people have yet to understand. Truth-be-told, there are terabytes and terabytes of useful information throughout the enterprise and the World Wide Web that if placed into the proper context could have an ROI much higher than existing data mining approaches.
Access to this unstructured information has been out of reach of many enterprises today due to the cost and complexity of the technology. However, with the Kapow Technologies offering, enterprises now have an on-demand mechanism for searching, grabbing, refining, and understanding unstructured data, and can place them in the context of enterprise data for even more value.
In addition, in the emerging world of Service-Oriented Architecture (SOA), Kapow is also providing customers with the ability to address unstructured data as Services, thus providing an on-ramp for any data source for use within mashups in the SOA environment.
Enterprise mashups–governed compositions of loosely-coupled Services within a rich, Web-based environment–are attracting increasing levels of attention today, because of their visible business value as well as the user empowerment they promise. Providing the infrastructure necessary to support the governance and loose coupling such mashups need, however, requires Service-Oriented Architecture (SOA).
As a result, enterprise mashups are increasingly driving demand for SOA across numerous enterprises, as they provide a visual representation of the value of SOA that business people and others can readily understand. It’s helpful, therefore, for enterprises looking to leverage the benefits of mashups as well as the benefits of SOA to invest in an enterprise mashup platform that brings the value of SOA to the user-driven interface that mashups enable.
JackBe’s Presto enterprise mashup platform addresses these issues. ZapThink has written on Presto before, but now we are finding that the platform is maturing in its ability to deliver rapid value to a wide range of users, both within business and IT. Furthermore, JackBe’s “Mashlets,” or mashup widgets, are helping to connect the dots for users who are seeking value from their SOA initiatives through the creation of enterprise mashups.
Taking a model-driven approach to implementing and representing Services is a core Service-Oriented Architecture (SOA) best practice. The central technical challenge of SOA is building and maintaining the business Service abstraction, and maintaining that abstraction relies upon creating and maintaining the Service model. Ideally, organizations should be able to use the Service model to create working implementations of the underlying Services, as well as for representing the composition of those Services into Service-Oriented Business Applications.
Intelliun’s model-driven approach to Service development supports this vision for the Service model. Intelliun helps to transition firms that have well-developed, but entrenched experience in traditional software development to a Service-oriented approach that can help companies achieve the agility benefits they so desire. Intelliun’s VE Software Platform’s model-driven approach follows an important SOA best practice.
Combine rich user interface capabilities, deep location-based information, and the power and breadth of the Microsoft SharePoint portal environment, and you have a clear value proposition for IDV Solutions’ Visual Fusion Suite. Visual Fusion Suite provides an environment for creating data-based enterprise mashups that combine diverse data sources by leveraging a location-based metaphor. As so many diverse enterprise information needs rely upon location, IDV Solutions is able to offer a broad range of capabilities to enterprises and government organizations worldwide.
Maintaining the quality of Services and Service compositions as part of a Service-Oriented Architecture (SOA) initiative is far more complex than traditional software quality assurance. Organizations who are implementing SOA must manage quality across the full Service lifecycle, including design time, runtime, and change time, and furthermore, SOA quality teams must contain a more diverse set of people than traditional software quality requires. As a result, organizations require a new set of tools like the Mindreef SOAPscope Server product family to maintain SOA quality as SOA initiatives ramp up to full enterprise scale.
Many organizations seek to implement Service-Oriented Architecture (SOA) to support and manage dynamic business processes, but companies often struggle when those processes are document-centric. The problem with documents in the context of dynamic business processes is that documents are inherently static by nature. JustSystems has addressed the issues surrounding static documents in the dynamic process context with their XMetaL content creation solution and xfy document-centric application development platform. Through the use of these tools, organizations can create and leverage dynamic documents that exhibit application functionality as needed, enabling the full participation of dynamic documents in Service-Oriented business process workflows.
Integration engines don’t always have to live on enterprise servers. Indeed, there are times when it make sense to leverage an integration engine that’s exists remotely, leveraged as a Service. Considering that integration is a complex and expensive proposition, the ability to deliver an integration solution over the Internet makes good sense consideirng that enterprises are now leveraging many Software as a Service (SaaS) applications.
Boomi takes this approach to integration, which provides the architect with the ability to create integration solutions they neither have to host nor maintain. Boomi’s approach makes a great deal of sense when creating integration solutions with third-party hosted resources, such as SaaS players like Salesforce.com, or when an organization requires B2B integration for linking business partner to business partner.
Data integration, data abstraction, and data Services are core needs when considering SOA. Legacy databases alone do not provide adequate ways to represent information in the context of SOA. However, the use of a data abstraction layer allows architects to define virtual schemas using better logical structures that offer a more effective fit for SOA implementations.
The bundling of data integration as an open source solution further increases the value of this approach. Open source SOA solutions provide two major advantages: first, they are typically less expensive than proprietary tools and technology. Second, they are often simpler and easier to understand and use. XAware’s open source model is a key differentiator in the data integration marketplace.