@CloudExpo Authors: Zakia Bouachraoui, Pat Romanski, Elizabeth White, Yeshim Deniz, Liz McMillan

Related Topics: @CloudExpo, Microservices Expo

@CloudExpo: Article

Cloud Computing: Server to Smart Device - The Changing Enterprise Menu

Gadgets, cloud and the changing face of enterprise applications

Enterprise Application Menu: Remember the older web applications and client/server applications of the last decade? Most enterprise business users are used to logging on to individual applications with their credentials or using single sign-on mechanisms, and then being presented with a menu of individual screens based on their authorization  levels. Users individually click their screen  entries to perform their activities.

The following are the limitations of traditional menus and the way enterprise applications are served.

  • This is an extension of traditional applications from the legacy era
  • Does not allow users the ability to have a favorite collection of business processes
  • User need to log on to multiple applications to complete the desired business process
  • Rendering capabilities are predetermined at the server side and there are limited options for the user to run the application on multiple devices
  • Does not allow the user to work in a disconnected matter

Tablets, Cloud  and Thick Clients
I have stressed in earlier articles that tablets and cloud have increased the possibility of thick clients back in the enterprise space that will ultimately improve the productivity of the end users. More products in this area and new ideas will see a  future of smart devices and cloud computing collaboration for enterprise applications and thick clients  will play a major role here.

Gadgets, Cloud and the Changing Face of Enterprise Applications
We have already seen in many desktop appliances that run Windows 7 client operating system have thick clients in the form of Gadgets. Windows contains mini-programs called gadgets, which offer information at a glance and provide easy access to frequently used tools. For example, you can use gadgets to display a picture slide show or view continuously updated headlines. Some of the gadgets that come with Windows 7 are Calendar, Clock, Weather, Feed Headlines, Slide Show, and Picture Puzzle.

While most gadgets are initially targeted at the home user and entertainment sector, we see great benefits for enterprise users in using gadgets in conjunction with the cloud, which will ultimately increase the productivity of  the enterprises.

The following  could be the blue print of enterprise  applications of the future.

  • Core Business functionality is delivered over cloud as RESTful Services
  • Enterprises will no longer have a application centric menus that till now used to serve business functionality
  • Rather for each of the core business functionality, there will be a downloadable gadget that is specific to a smart client device like Tablet
    • Examples such as gadget for creating a work order to be run on WebOS-based devices
    • Gadget for creating a purchase Order to be run on Andriod based devices
  • These Gadgets can be customized for look and feel by the end user
  • Minimal business functionality will be available in the Gadget , much similar to client side validation, However lot of operations like rendering, client-side calculations can make use of the power of the smart devices. This will result in the computing resources being used in a grid-like fashion
  • Gadgets can work on disconnected manner till the time user connects to Cloud
  • Further business processing of Gadget will be executed on Cloud

The New Menu For Enterprise Applications
With the productivity gains perceived with tablets + gadgets + cloud,  enterprise users don't have to be restricted by the current application-specific menus, rather the new enterprise user can pick and choose the gadgets of  interest  and install in their smart device to complete the business process desired.

Rather the enterprise menu is shifted  from the server to the smart device.

More Stories By Srinivasan Sundara Rajan

Highly passionate about utilizing Digital Technologies to enable next generation enterprise. Believes in enterprise transformation through the Natives (Cloud Native & Mobile Native).

CloudEXPO Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-centric compute for the most data-intensive applications. Hyperconverged systems already in place can be revitalized with vendor-agnostic, PCIe-deployed, disaggregated approach to composable, maximizing the value of previous investments.
When applications are hosted on servers, they produce immense quantities of logging data. Quality engineers should verify that apps are producing log data that is existent, correct, consumable, and complete. Otherwise, apps in production are not easily monitored, have issues that are difficult to detect, and cannot be corrected quickly. Tom Chavez presents the four steps that quality engineers should include in every test plan for apps that produce log output or other machine data. Learn the steps so your team's apps not only function but also can be monitored and understood from their machine data when running in production.
A valuable conference experience generates new contacts, sales leads, potential strategic partners and potential investors; helps gather competitive intelligence and even provides inspiration for new products and services. Conference Guru works with conference organizers to pass great deals to great conferences, helping you discover new conferences and increase your return on investment.
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure using the Kublr platform, and how Kubernetes objects, such as persistent volumes, ingress rules, and services, can be used to abstract from the infrastructure.