Governance is central to an effective enterprise SOA. It enables the transformation of business policies into metadata-based rules, and it assists in automating the validation and enforcement of policy compliance in both design-time and runtime environments. Today, complex IT scenarios with interactions spanning heterogeneous systems are placing greater demands than ever on SOA governance, since the constant changes to these systems open a deployment to greater uncertainty and risk. Having the right SOA governance model in place is critical to mitigating this risk and maximizing business performance.
While traditional SOA and integration platforms have proven tremendously successful over the years, they provide little support for collaboration—whether internally among teams or externally with partners and customers. Hundreds of APIs within an organization may provide a mechanism for extending data, processes and services to others.
As integration moves from SOA services to RESTful service APIs, do SOA governance practices still apply? Organizations desire to encourage API interactions and apply governance practices across their API partners.
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In today's world of development frameworks, JavaScript is everywhere - from the client to the server - providing agility and greater developer productivity. However, there has been no server-side JavaScript framework that offers the same flexibility and the freedom provided with PHP like scripting environments. Now developers can take advantage of the new JavaScript framework, Jaggery, to meet this demand.
The typical enterprise develops a range of applications to serve the organization’s different business requirements. Each one of these applications may consist of a variety of components, such as a Web application component at the front end, a gadget component for data visualization, or a database to store application data, to name just a few. This means the application developer has to work with different tools in these different domains when implementing the application, and using the wrong tools for the task can lead to a developer’s nightmare.
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Today, organizations rely on their enterprise software applications to carry out business functions more efficiently. However a disconnected heap of independent software applications can cause more problems than they solve. In order to make the most out of enterprise software deployments, they should be integrated to work together in perfect synchronicity. Though it seems simple enough, connecting a myriad of diverse applications with their different programming languages, platforms, data formats, protocols, and QoS requirements can be an architect's worst nightmare.
A cloud application platform environment will enhance development team agility, lower security risk, streamline application management, and raise server efficiency. However, while cloud application teams are familiar with using traditional virtual server tenancy to isolate applications, they realize at scale, that virtual server tenancy environments quickly experience overcast cloud conditions. The result is a proliferation of cloud machine instances, which increases the security risk, management burden, and operational expense.
Assisted by advances in mobile devices, such as smartphones and tablets, and sensor technologies, most notably RFIDs, Web and enterprise systems now generate terabytes of data on a daily basis. However, capturing and managing this data has become a major challenge, particularly when attempting to use conventional relational databases that were not designed to handle data at the scale enabled by Internet and cloud-based applications. As a result, companies increasingly are adopting new NoSQL data stores as a solution to their big data demands.
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