Welcome!

@CloudExpo Authors: Zakia Bouachraoui, Elizabeth White, Liz McMillan, Pat Romanski, Roger Strukhoff

Related Topics: @CloudExpo, Java IoT, IBM Cloud

@CloudExpo: Blog Post

Setting Apart WebSphere CloudBurst

WebSphere CloudBurst versus generic provisioning solutions

IBM Session at Cloud Expo

From a constrained viewpoint, the WebSphere CloudBurst Appliance serves as a virtualization management solution for WebSphere application environments. In that light, I cannot tell you how many times customers ask me to delineate WebSphere CloudBurst from the other virtualization management solutions that are either out on the market or currently used in their business. I love to hear this request for two reasons:

1)      It signals that many enterprises already practice or are thinking about virtualization in the application environment space.

2)      I have a good answer!

To understand the main delineation between WebSphere CloudBurst and other virtualization management solutions, it is probably helpful to understand what the appliance does! Put simply and shortly, the appliance enables you to create, deploy, and manage virtualized WebSphere application environments. In particular, the deployment phase of that lifecycle equips users with the capability to turn a selected application environment (represented by a WebSphere CloudBurst pattern) into a collection of one or more virtual machines using special virtual images shipped on the appliance.

Once users hear this, they usually ask, "Why do I need WebSphere CloudBurst to do this? Couldn't I achieve the same results using my own virtual image and management solution?" The same type of question applies to almost any kind of vendor solution. Of course you could potentially achieve something close to the same result on your own. I mean, not long ago most organizations were essentially writing their own ESB applications. This means then that asking why/if you need WebSphere CloudBurst is the wrong question. Instead, you should ask, "Why would I want WebSphere CloudBurst?"

The answer to that is decreased time to value and cost of ownership for your virtualized WebSphere environments. Consider that you are going down the road of creating virtual images for your WebSphere application environments, and you plan to provision those images from a general-purpose management solution. This means that you will have to provide quite a bit of scripting that tells the management solution how to interact with the software inside the virtual machines because to the management system, the virtual machine is a black box.

With WebSphere CloudBurst the virtual machine is anything but a black box. The appliance comes with the knowledge necessary to administrate and interact with the WebSphere software running inside the virtual machine. If you are familiar with WebSphere software, this means the appliance can do things like update hostnames for application nodes (important when reusing virtual images), federate nodes into cells, create application server clusters, tune the JVM for performance optimization, apply fixes, apply upgrades, and more all without the user needing to supply one line of custom scripting!

The fact that WebSphere CloudBurst comes with this out-of-the-box capability means you can avoid the significant investment in creating and testing these types of scripts in the first place. In addition, your cost of ownership with respect to this virtualized approach to WebSphere environments is significantly lower because IBM provides the support for these automated administration actions. You do not have to dedicate resource to supporting and updating administration scripts over time.

In addition to this out-of-the-box WebSphere intelligence, I cannot stress the value of WebSphere CloudBurst patterns enough. Patterns are the unit of deployment in WebSphere CloudBurst and they represent your complete application environment. This includes the topology of the environments (the kinds of nodes and the relationship between them) as well as your custom configuration (applications, application resources, tuning, etc.). This patterns approach allows you to codify your infrastructure, save it, and deploy it repeatedly with consistent results.

Patterns also provide a very effective abstraction from the underlying infrastructure. Regardless of the infrastructure to which you will deploy your pattern, you build and edit it the exact same way. This means, for instance, that you do not have to be an expert on the IBM pSeries platform in order to deploy a WebSphere environment there. Simply build your pattern, select the underlying image that will serve your pattern (which implies the platform), and point at the target infrastructure. WebSphere CloudBurst and its virtual images encapsulate platform specific knowledge that will transform your pattern into a running, integrated, and optimized virtualized WebSphere environment.

If you are a WebSphere user and you have not yet heard about the appliance, check out this brief introductory article. If that article does not answer your questions, you can reach me on Twitter @damrhein.

More Stories By Dustin Amrhein

Dustin Amrhein joined IBM as a member of the development team for WebSphere Application Server. While in that position, he worked on the development of Web services infrastructure and Web services programming models. In his current role, Dustin is a technical specialist for cloud, mobile, and data grid technology in IBM's WebSphere portfolio. He blogs at http://dustinamrhein.ulitzer.com. You can follow him on Twitter at http://twitter.com/damrhein.

CloudEXPO Stories
The precious oil is extracted from the seeds of prickly pear cactus plant. After taking out the seeds from the fruits, they are adequately dried and then cold pressed to obtain the oil. Indeed, the prickly seed oil is quite expensive. Well, that is understandable when you consider the fact that the seeds are really tiny and each seed contain only about 5% of oil in it at most, plus the seeds are usually handpicked from the fruits. This means it will take tons of these seeds to produce just one bottle of the oil for commercial purpose. But from its medical properties to its culinary importance, skin lightening, moisturizing, and protection abilities, down to its extraordinary hair care properties, prickly seed oil has got lots of excellent rewards for anyone who pays the price.
The platform combines the strengths of Singtel's extensive, intelligent network capabilities with Microsoft's cloud expertise to create a unique solution that sets new standards for IoT applications," said Mr Diomedes Kastanis, Head of IoT at Singtel. "Our solution provides speed, transparency and flexibility, paving the way for a more pervasive use of IoT to accelerate enterprises' digitalisation efforts. AI-powered intelligent connectivity over Microsoft Azure will be the fastest connected path for IoT innovators to scale globally, and the smartest path to cross-device synergy in an instrumented, connected world.
There are many examples of disruption in consumer space – Uber disrupting the cab industry, Airbnb disrupting the hospitality industry and so on; but have you wondered who is disrupting support and operations? AISERA helps make businesses and customers successful by offering consumer-like user experience for support and operations. We have built the world’s first AI-driven IT / HR / Cloud / Customer Support and Operations solution.
ScaleMP is presenting at CloudEXPO 2019, held June 24-26 in Santa Clara, and we’d love to see you there. At the conference, we’ll demonstrate how ScaleMP is solving one of the most vexing challenges for cloud — memory cost and limit of scale — and how our innovative vSMP MemoryONE solution provides affordable larger server memory for the private and public cloud. Please visit us at Booth No. 519 to connect with our experts and learn more about vSMP MemoryONE and how it is already serving some of the world’s largest data centers. Click here to schedule a meeting with our experts and executives.
Darktrace is the world's leading AI company for cyber security. Created by mathematicians from the University of Cambridge, Darktrace's Enterprise Immune System is the first non-consumer application of machine learning to work at scale, across all network types, from physical, virtualized, and cloud, through to IoT and industrial control systems. Installed as a self-configuring cyber defense platform, Darktrace continuously learns what is ‘normal' for all devices and users, updating its understanding as the environment changes.