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
In this podcast Jeff Overton, the Shadow Product Marketing Manager from Progress DataDirect, provides an overview of the DataDirect Shadow platform. This short podcast is 4:46.
You may listen to the podcast here: http://blogs.datadirect.com/media/Shadow_7.2.1_Release_ProductOverview.mp3
DataDirect’s Shadow, at its fundamental core, is middleware for the mainframe. It’s middleware that provides bi-directional integration with mainframes. And when we talk about mainframes, we’re specifically referring to IBM System z hardware running the IBM z/OS operating system. So, in those environments, DataDirect Shadow enables developers, whether they’re using Java or .NET to use a single, unified and consistent approach for integration with the mainframe. And that integration with the mainframe can really span or does span the three primary integration points, which are business logic or SOA programs. So it will be Cobol or PL/1 or Natural or some other language. But it can also integrate with application logic, and, as you’re aware of, applications in the mainframe have a rather lengthy lifetime, so those may be applications where the business logic, the data access logic, and the screen logic were fully intertwined. So it’s a monolithic structure, and the only true way of integrating to that data is through the screens. So we provide support for that as well. And then, finally, data, and whether that data is relational or non-relational, we support both.
Now, integration with these assets is done using standards. All standards based, whether it be developing web services, whether it be doing web services orchestration, whether it be using SQL to access not just data but also business logic. So the ability for SQL programmers to treat business logic as a stored procedure. Also support for real-time events, which can serve as a very nice complement for services-oriented architecture (SOA), or it can even be used to support change-data capture capability. And finally web presentation. So in those environments where perhaps you have existing DB2 applications that need a quick refresh so that they can be simpler for newer workers to use, rather than having to use PF Keys and old green screen. Those applications can be now presented through the Web.
So, overall, this approach allows an organization to use this single unified approach to mainframe integration, whether they’re doing one of those types of integration, let’s say web services, or more than one, such as web services, data access using SQL, and an event. And the value here is that by doing it in such a manner, we reduce the complexity of the integration process to the mainframe. And, because we’re using standards based interfaces, we’re enabling those organizations to leverage the ubiquitous development skills that are out there in their Java and .NET teams, as well as the tools with they use. So being able to leverage those skills and the tools helps reduce the time to develop and deploy these applications that integrate with the mainframe. And ultimately, what that means is it helps reduce the development costs. Now, once it’s in production, the benefits don’t stop.
DataDirect Shadow has been written from the ground up for integration with the mainframe. And it implements a unique architecture that exploits IBM System z features, such as specialty engines. And these specialty engines, enable you to bind work, work that meets specific criteria, to be moved from a general purpose processor to the specialty engine, such as a systems integration information processor or zIIP specialty engine. The benefit to an organization there is that zIIP specialty engines have a significant capacity capability. They run at an unrestricted speed and, furthermore, the work that’s run on them is not counted toward the capacity of the mainframe, which is typically used to license both software, hardware, and support. So the benefit here is that once in production, you get the ongoing savings of running with integration processing done by Shadow as much as -- up to 99 percent of it in fact -- on the zIIP specialty engine, which can result in a much lower total cost of ownership, not only for the process leveraging the mainframe, but really for the entire mainframe.
So that’s just a quick description of the DataDirect Shadow Product.
View all posts from Jeff Overton 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.