The majority of my posts on this blog address using various features of WebSphere CloudBurst to build private cloud computing environments. Today though, I want to switch gears and instead of talking private cloud, let's talk public cloud. Specifically, let's take a look at the capabilities and services delivered via the IBM Smart Business Development and Test on the IBM Cloud (hereafter referred to as the IBM Cloud).
For some of you, the fact that IBM has a public cloud offering may be a little surprising. After all, if you listen to some uninformed critics you may hear that IBM only cares about private clouds for large enterprises. That is simply untrue. The IBM Cloud is an Infrastructure as a Service public cloud that delivers rapid access to services hosted on IBM infrastructure via a self-service web portal. The IBM Cloud offers multiple payment options, including usage-based billing and reserved capacity billing, and even features a cost estimator so you can confidently establish a monthly budget for your usage.
Regardless of whether you use a private or a public cloud, security should always be a chief concern. As such, IBM takes security very seriously in the IBM Public Cloud. The infrastructure that constitutes the cloud is subject to internal IBM security policies that include regular security scans and tight administrative governance. Your data and virtual machines stay in the data center to which you provisioned them, and physical security policies match those of internal IBM data centers. Additionally, you can optionally make use of the virtual private network option to isolate access to the virtual machines that you provision on the IBM Cloud. Rest assured that security in the IBM Cloud was a guiding design principle and not an afterthought.
With the basics out of the way, let's get on to the question I'm sure you have: What can I run on the IBM Cloud? To get you started, the IBM Cloud provides a nice list of public images in its catalog that are ready for you to provision. These images include WebSphere Application Server, WebSphere sMash, DB2, WebSphere Portal Server, IBM Cognos Business Intelligence, Tivoli Monitoring, Rational Build Forge, and many more. In addition to the public images provided by the IBM Cloud, you can build your own private images. Private images allow you to start with a base public image and then customize it by adjusting the configuration or installing new software. Once customized, you can store these private images on the IBM Cloud and provision them whenever needed. Whether you are using public or private images, you have a number of server configurations to choose from in order to host your environments.
While very brief, I hope this overview provides you with some of the more important details regarding the IBM Cloud. There are few, if any, service providers out there with the enterprise expertise of IBM, and I think you see that reflected in the IBM Cloud. If you are looking at public cloud options for your enterprise application environments, you should definitely take a closer look at the IBM Cloud.
The recently announced IBM WebSphere CloudBurst Appliance is creating a fair amount of stir in the cloud computing market. Its ability to create, deploy, and administer private WebSphere cloud environments gives customers the ability to create and manage a services oriented cloud. To provide a more in-depth look at what the appliance delivers, I’d like to take a short look at the creation, deployment, and administration capabilities to understand what each one means to the user.
To get started, in order to leverage WebSphere environments in a private cloud, you need to construct WebSphere configurations optimized for such a virtual environment. Using WebSphere CloudBurst you can do just that. WebSphere CloudBurst ships a virtual image packaging of the WebSphere Application Server called WebSphere Application Server Hypervisor Edition. From this new virtual image offering, complete WebSphere Application Server topologies can be constructed to create what WebSphere CloudBurst terms a pattern. These patterns are representations of fully functional WebSphere Application Server environments. For example, using WebSphere components in the WebSphere Application Sever Hypervisor Edition, you can create a cluster environment that includes a WebSphere Deployment Manager, two customs nodes, and the IBM HTTP Server.
In order to create these patterns, WebSphere CloudBurst provides a drag-and-drop interface that allows users to select WebSphere components from the new virtual image and drop them onto a canvas that visually represents the WebSphere configuration. In addition to adding WebSphere components, users can also drag and drop script packages onto the components within a pattern. These script packages allow users to provide scripts and other artifacts that further customize the WebSphere Application Server environment once it has been deployed in the cloud. These script packages can do just about anything, from tuning WebSphere security settings to installing applications in the newly created environment.
Building the virtualized WebSphere Application Server environment, or pattern, is only part of the process. Once the pattern is built, it is ready to be deployed to the cloud. WebSphere CloudBurst operates on a ‘bring your own cloud’ model, so the cloud resources are defined to the appliance. These cloud resources consist of a set of supported hypervisors and a list of IP addresses available to the cloud. Once these resources are defined, WebSphere CloudBurst has all the information it needs for deployment. On deployment of a pattern, WebSphere CloudBurst determines the state of the available resources, and places the pattern across the available hypervisors accordingly. It places the WebSphere instance to ensure efficient use of resource, high performance, and high availability. In addition to placing the pattern instance onto the hypervisors, WebSphere CloudBurst selects and assigns an IP address to each WebSphere component in the configuration. Both the placement and IP address assignment are done with no user input or intervention. The result of the pattern deployment is a fully instantiated WebSphere environment that can be accessed and used like any other such environment. It is important to note that the WebSphere environments do not run on the WebSphere CloudBurst Appliance, and in fact the appliance plays no role in the runtime of the environments.
While it is true that the WebSphere CloudBurst Appliance is not involved in the runtime of the patterns that it deploys, it does provide users the capability to monitor and administer these environments. From the WebSphere CloudBurst console, each of the WebSphere virtual systems can be viewed to understand network configuration, memory consumption, and CPU usage. Usage of cloud resources (i.e. memory, CPU, IPs) is also tracked at a user or user group level allowing WebSphere CloudBurst to support chargeback across an enterprise. In addition to these monitoring capabilities, maintenance features are part of the appliance’s administration story. WebSphere CloudBurst provides users with a central administration point for applying maintenance, such as iFixes and service packs, to the WebSphere virtual systems it created. These fixes can be applied within the WebSphere CloudBurst console with only a few mouse clicks providing an unprecedented ease of maintenance application.
The above is only a glimpse at the capabilities of the new IBM WebSphere CloudBurst Appliance. Look for more information about this offering at ibm.com/cloudburst, and stay tuned to our blog, twitter account (@WebSphereClouds), and websiteas we continue to deliver insight into WebSphere CloudBurst.
Maybe you remember, but not long ago I wrote a post about scenarios when WebSphere CloudBurst and Rational Automation Framework for WebSphere (RAFW) combine to form quite the pair. You can read that post for details, but the basic scenarios were configuring and capturing, importing existing environments into WebSphere CloudBurst, and migrating from virtual to physical installations. Well, after talking with customers and colleagues lately, you can add another scenario to the list: version-to-version WebSphere Application Server migrations.
I want to be clear here about one thing before I go further. I am in no way advocating against the use of the migration tooling that ships with WebSphere Application Server. It is an excellent tool that can make migrations simple and fast. I am merely pointing out that when it comes to version-to-version migrations you have options, and you should survey them all before making a decision.
With that understanding, let's take a look at WebSphere CloudBurst and RAFW in the context of a version-to-version migration. This integrated approach to migration is ideal if you are amenable to moving up to a newer version of WebSphere Application Server in a cloud-based environment. Using both products makes migrations fast and easy, and you can be very confident that the configuration of the migrated environment is faithful to the original. The figure below shows the basic flow of the migration and breaks it down into a set of discrete steps.
Now, for a quick break down of each step:
Extract config & apps from old environment: The first step involves pointing RAFW at your existing configuration, the one you want to migrate from, and using an out-of-the-box action to import all of the configuration into a RAFW environment. You can also import your application binaries in this step.
Store config & apps from old environment: In step two, you will store the extracted configuration and application binaries in a source control repository or some backup location separate from your RAFW server. This is an optional, but recommended step.
Analyze and update apps: Before migrating your applications to the newer version of WebSphere Application Server, you can use the completely free Application Migration Toolkit to analyze the source code of your applications. This toolkit will recommend any required updates to ensure your application continues to behave as expected when moving to the new version. Again, this is an optional step, but the toolkit is free and very handy. So, why not?
Deploy new version of the environment: Step four starts by building a new WebSphere CloudBurst pattern. This new pattern matches the topology of the environment you are migrating from, and you build it from an image containing the version of WebSphere Application Server to which you want to migrate. Once built, you deploy it to your private cloud and you have a running environment in minutes.
Apply stored config and deploy updated apps: Now that you have your new environment up and running, use RAFW to apply the configuration you extracted from your old environment. RAFW inherently understands any configuration translation that needs to occur to apply the old configuration to your new environment, and it can also deploy your updated applications for you.
That's the basic overview for version-to-version migrations when you are moving to a cloud-based environment. In time, I will be posting more information about this process to shed a little more light about what is going on under the covers. In the meantime, you know how to reach me if you have questions!
It seems like it was announcement day across IBM, and specifically in WebSphere. While the announcements were numerous and touched many different topics, I want to focus on a couple of announcements of particular interest to those of you interested in WebSphere CloudBurst and IBM Hypervisor Edition virtual images.
First, for all of our WebSphere Process Server and WebSphere Business Monitor users, there are a couple of important pieces of information in this announcement. This announcement outlines the availability of WebSphere Business Monitor Hypervisor Edition. The new image allows you to dispense WebSphere Business Monitor 7.0 environments using WebSphere CloudBurst to VMware hypervisors. In addition, the announcement outlines the expansion of the existing WebSphere Process Server Hypervisor Edition image to support the z/VM platform and the Red Hat Enterprise Linux (RHEL) operating system for VMware.
Moving beyond our BPM set of solutions, IBM also announced the availability of a WebSphere Message Broker Hypervisor Edition. This virtual image allows you to construct and deploy WebSphere Message Broker and WebSphere MQ environments using WebSphere CloudBurst. The stack includes the RHEL operating system, and it is ready to run on VMware hypervisors.
With that in mind, here's an update to the WebSphere CloudBurst supported product matrix:
* Availability subject to dates documented in referenced announcement letters
As you can see, we are continuing our effort to expand the choice you have when using WebSphere CloudBurst to create and deploy application environments to your cloud. If you are interested in using WebSphere CloudBurst for WebSphere Business Monitor, WebSphere Process Server, or WebSphere Message Broker, check out the above announcements. You will find more technical information as well as planned availability dates.
Just one last scrap of food for thought. Feedback from you, our users, is instrumental as we continue to expand software choice with WebSphere CloudBurst. Please continue to let us know your thoughts and needs!
Lately Joe and I have been pretty vocal about bringing up the new IBM Image Construction and Composition Tool capabilities in IBM Workload Deployer v3.1. While writing about such new capabilities is always good, I think seeing is believing. In that light, I hope you will take a look at the recent demo I put together that shows how to use the Image Construction and Composition Tool with IBM Workload Deployer v3.1!
One of my favorite things to do with users or potential users of WebSphere CloudBurst is to help them understand how they can construct a custom environment using the appliance. Typically, we take one of their existing application environments and discuss the configuration steps that contribute to its makeup. From there, we map the required configuration actions to different customization capabilities in the appliance. It is one thing to talk about how you can customize every layer of your application stack with WebSphere CloudBurst, it is quite another to talk about it in the context of an existing environment. This exercise usually serves to greatly enhance a user's understanding of how to construct tailored environments with the appliance.
While I cannot take every one of you through this exercise in the context of one of your own application environments, I can propose a scenario that will help to illustrate the WebSphere CloudBurst customization process. Consider that I want to deploy a clustered WebSphere Application Server environment whose application server instances utilize WebSphere DataPower XC10 for HTTP session management. In order to deploy such an environment, I would need to do the following:
Install an OS and WAS
Install the WebSphere eXtreme Scale Client binaries - required for integration
Construct a clustered cell
Augment profiles with WebSphere eXtreme Scale profile templates
Configure the application server instances to use WebSphere DataPower XC10 for session management
So those are the steps, but how do they map to WebSphere CloudBurst? First, I know that the WebSphere Application Server Hypervisor Edition image used by WebSphere CloudBurst encapsulates the installation of the OS and WAS. I also know that WebSphere CloudBurst will automatically construct the clustered cell during the deployment process. That means I need to address the installation of client binaries, augmentation of profiles, and configuration of application server instances. In order to do this, I will use a combination of image extension and custom script packages.
To get started, I extend an existing WebSphere Application Server Hypervisor Edition image and simply install the WebSphere eXtreme Scale Client binaries. I then capture that image and store it as my own unique image in the WebSphere CloudBurst catalog. Now, you may wonder why I did not capture the profile augmentation in the custom image. Remember, you cannot change profile configuration during the extend and capture process as WebSphere CloudBurst resets the profiles as part of capturing the custom image.
My custom image encapsulates the installation of the client binaries, so now I turn to custom script packages. I need two in this case. One script package will augment a profile (either deployment manager or custom node) with the WebSphere eXtreme Scale profile template. The second script package will configure application server instances to use WebSphere DataPower XC10 for HTTP session management. Once done with these script packages, I have all the assets I need to build my target environment.
Using my custom image, I build a pattern that contains the number and kind of WebSphere Application Server nodes that I want. I use the advanced options to define a WebSphere Application Server cluster ensuring its creation happens during deployment. Next, I drag and drop the profile augmentation script onto the deployment manager and custom node parts in my pattern. Finally, I drag and drop the WebSphere DataPower XC10 configuration script onto the deployment manager. The pattern is now ready to deploy!
For those of you that are visual learners like me, this demonstration provides a nice overview of exactly what I wrote about above. Check it out and let me know what you think.
One of the things that often comes up at some point in IBM Workload Deployer conversations is the notion of self-service access. Specifically, users want to know what the appliance provides that enables them to allow various teams in their organization to directly deploy the middleware environments they need. In other words, they want to use IBM Workload Deployer to tear down the traditional barriers that exist between those that request the environment and those that fulfill said request. Now, as we begin to elaborate on this notion, it becomes quickly apparent that in order to effectively enable self-service, IBM Workload Deployer must deliver a few things.
First, IBM Workload Deployer must provide the means to define users with various levels of access. Second, IBM Workload Deployer must provide the means to define resource access at a fine-grained level to different users and groups of users. Check and check. The appliance has been doing this since the beginning of WebSphere CloudBurst. Without those two things, the conversation of self-service access would end pretty quickly. However, there is a final capability that is equally important: IBM Workload Deployer must deliver a means to limit resource consumption at a fine-grained level.
In IBM Workload Deployer there are a couple of ways to achieve this. First, you could define multiple cloud groups and allow access to those groups in a way that maps directly to resource entitlements. While that may work in some situations, others call for even more granularity. You may want to allow multiple different users or groups to access a cloud group, but you may want to allow different consumption limits for each of these groups. In this situation, you can take advantage of environment profiles and a new option when defining users of IBM Workload Deployer.
Consider the case that you have a group of developers and you want to limit their consumption of memory in the cloud. First, you start by defining your development users and for each you select Environment Profile Only as the value for the Deployment Options field.
By selecting the above value for the deployment options of a user, you restrict that user to only deploying via an environment profile as opposed to general cloud group deployments. After defining all of your development users, you may choose to organize them into a user group for easier management. At that point, you can define environment profiles and determine which ones your developers should have access to using the Access granted to field of the profile.
Within the environment profile, you can define resource consumption limits for compute resource and software licenses. For instance, you can define a limit on the amount of virtual memory consumed by all deployments using the profile. It is important to note that the limit is cumulative for ALL deployments that use the profile.
Now that all of the controls are in place, consider the deployment process for one of your development users. They pick a virtual system pattern, click the deploy icon and begin to configure the pattern for deployment. In the Choose Environment section of the deployment dialog, your development user will only be able to select the Choose profile option for deployment. Further, they will only be able to deploy using the environment profiles to which they have access.
After the deployment completes, a look at the Environment limits section in the profile shows the current usage totals.
Now suppose another development user, or even the same one, comes along and attempts to deploy another virtual system pattern even though the profile limits have already been reached. The user can initiate the deployment, but they will get a near immediate failure owing to the fact that they would exceed consumption limits if the deployment were allowed to proceed.
The same kind of enforcement occurs regardless of the resource limit type. You can use this approach to limit the consumption of CPU, virtual memory, storage, or software licenses among the various different users or groups of users you define in IBM Workload Deployer. If you combine fine-grained resource consumption limits with varying permissions and fine-grained access, I think you are on the road to truly enabling self-service in the enterprise.
Script packages are an integral part of virtual system patterns in IBM Workload Deployer. By attaching script packages to your patterns, you provide customizations particular to your unique cloud-based middleware environments. Customizations provided by script packages might include installing applications, creating application resources, integrating with external enterprise systems, and much more. The bottom line is, if you are creating virtual system patterns, you will almost certainly be creating script packages.
Largely, the act of creating a script package is independent of IBM Workload Deployer. The appliance does not dictate a particular scripting language, so all you need to do is make sure you can invoke your logic in the operating system environment. Your script package may be a wsadmin script, shell script, Java program, Perl script, and on and on. After you create the actual contents of your script package, you will then load that asset into the IBM Workload Deployer catalog.
Once loaded into the catalog, you define several attributes of your script package, including the executable command, command arguments, variables, execution time, and more. The process for defining these attributes is trivial using the intuitive UI in IBM Workload Deployer, but I wanted to take a little time to remind you of a technique I recommend to all users defining script packages. You can actually package a JSON file within the script package that defines all of the script's attributes. The format of the file is simple, and I am including an example below:
The example above is one taken from a script package in our samples gallery, and it shows the basics of which you need to be aware. Notice that in the JSON file, you can provide a name, description, unzip location, executable command, command arguments, variables, and more. You only need to ensure that the name of this JSON file is cbscript.json and that you include it at the root of the script package archive. Once you have done that, you load the script package archive into the catalog, refresh the script package details, and voila -- all the attribute definitions appear!
You may ask why I recommend this since it could seem like an unnecessary step. My answer to that is that you have to define these attributes anyway, so you might as well capture it once in the file. Once you capture it once in the file, you can ensure that if the same script needs to be reloaded, or if you need to move it to another appliance, its definition will be exactly the same (and presumably correct). I use this approach for all of my work, and for all of the samples I contribute to our gallery, and it really saves me a lot of misplaced effort that can result from typos. If you are out there creating script packages, try adopting this approach. I'm pretty sure you will be happy you did!
The concepts that govern users and user groups in WebSphere CloudBurst are fairly basic, but I get asked about them enough that I believe they warrant a short discussion. First things first, you can define users in WebSphere CloudBurst and optionally define user groups to assemble users into logical collections. For both users and user groups, you can assign roles that define the actions a particular user or group of users can take using the appliance.
All of that is straight forward, but it can get a bit tricky once we start considering the effects of user permissions when managing at the user group level. The basic premise is that when a user belongs to a group or groups, the user's effective permissions are a sum of the permissions to all of the groups to which they belong. While that is easy to say, and maybe even to understand, I feel like an example always helps.
Consider that we have a single user WCAGuy that belongs to the PatternAuthors, ContentCreators, and CloudAdmins groups. The permissions for those groups are as follows:
PatternAuthors: Users in this group have permission to create and deploy patterns
ContentCreators: Users in this group have permission to create catalog content as well as create and deploy patterns
CloudAdmins: Users in this group have permission to administer the cloud, create catalog content, and create and deploy patterns
Naturally then, it follows that the WCAGuy user can administer the cloud, create catalog content, create patterns, and deploy patterns. So then, what happens if we remove the WCAGuy user from the CloudAdmins user group? Well, as you may expect, there is an update to the user's permissions. The WCAUser user can no longer administer the cloud, but they can still create catalog content, create patterns, and deploy patterns (owing to their membership in the other two groups). Similarly, if we next removed the WCAGuy user from the ContentCreators group, then the user would retain only the permission to create and deploy patterns.
Just one more thing, let's talk about what happens when I remove a user from a group and they no longer belong to any groups. Consider that I created the WCAGuy user with the permission to create catalog content as well as create and deploy patterns. Next, I added the user to the CloudAdmins group, meaning the user now has the permission to administer the cloud. I promptly decide that the user has no business with those permissions, so I remove the user from the CloudAdmins group. What happens? The user retains the permission set of the last group to which they belonged. In this case, that means the WCAGuy user retains cloud administration rights. I have to update the user's permission set if I want to take that right away, but in this case, it will not automatically disappear upon removing them from the CloudAdmins group.
I hope this helps clear up any ambiguity you may have had concerning users, user groups, and permission sets in WebSphere CloudBurst.
IBM trekked further into the cloud today by announcing new offerings that will help clients to leverage the cloud within their enterprise. These offerings include development environments, test environments, and desktop services running either in the IBM cloud or a private cloud, as well as something called IBM CloudBurst (not to be confused with the WebSphere CloudBurst Appliance).
In particular, the IBM CloudBurst offering jumps out to me as a truly innovative offering. This offering promises our clients a complete private cloud solution that includes hardware, software, and services all in a single package.
Essentially it sounds like the IBM CloudBurst offering is all about building out a cloud-enabled data center. The hardware provides the bulk computing power to host private clouds, and the software provides enhanced service management capabilities to give users full control and insight over the elements of their private cloud.
Couple these computing capabilities with included IBM service, and this means clients should be able to get up and going with their private clouds very quickly.
This new offering really seems to hit a sweet spot. While the number of cloud computing offerings continues to grow, few if any offerings take such a holistic approach to providing such a solution.
This type of comprehensive solution gives users what they need in terms of the hardware to host a private cloud and the software to manage that cloud. Just as importantly though, it helps users put the hardware and software to work via implementation services also offered in the solution.
I invite you to take a look at the new IBM CloudBurst offering, and don’t forget to sign up for the IBM CloudBurst webcast scheduled for June 25th.
If you follow this blog often, you know that from time to time I like to post frequently asked questions. Well, it's been a while since I have done that, and since then I have added some new questions to my list -- along with some regulars. Take a look below, and if I don't answer your question feel free to leave a comment!
Can IBM Workload Deployer deploy software that is not IBM software? Yes. You can use one of the included images as a springboard and customize them with your own software via extend and capture. Additionally, you can use the IBM Image Construction and Composition Tool (I'm getting ahead of myself here) to create your own custom images from the ground up and use those within IBM Workload Deployer.
Can I use VMotion for the systems I deploy with IBM Workload Deployer? Yes. IBM Workload Deployer has tolerated the use of VMotion since the WebSphere CloudBurst days (see the Additional Considerations section on this page for more information). IBM Workload Deployer v3 introduced the notion of virtual machine mobility initiated directly from the appliance. This capability takes advantage of VMotion in the case of VMware-based cloud environments.
Can IBM Workload Deployer deploy just a base operating system? Yes. IBM Workload Deployer v3 introduced a base operating system image that contains 64-bit Red Hat Enterprise Linux. Internally, IBM Workload Deployer uses this as the foundation on top of which virtual application patterns are deployed. You can use it to deploy virtual machines containing just the base OS, or you can customize it to deploy software of your choosing. (As an aside, IBM Workload Deployer v3.1 will include a base operating system image for AIX)
Can I automate the process of calling/using IBM Workload Deployer? Yes. IBM Workload Deployer is built to fit a specific need -- creating and managing a cloud of middleware and middleware-based workloads. In that light, it would be a shortcoming if IBM Workload Deployer did not to fit well into more holistic or enterprise-wide cloud management systems. The REST API and CLI allow you to automate the use of IBM Workload Deployer, thereby allowing it to be mashed up into other processes.
Can I group two appliances together for high availability? Yes. IBM Workload Deployer v3.1 introduces the ability to configure appliances in a master/slave setup. You can connect two appliances, allow them to share a floating IP address, and be confident that data is continuously replicated between the two. If one appliance fails, the other appliance picks up the floating IP ensuring continuous service.
Are images created using the Image Construction and Composition Tool supported for use within IBM Workload Deployer? Yes. Part of the new IBM Workload Deployer 3.1 announcement was a statement of support for using images created by the Image Construction and Composition Tool as a component of your virtual system patterns. This is a very important enhancement as it allows you to extend the set of content deployed by IBM Workload Deployer while being sure that you are operating within the boundaries of intended use.
Can I use IBM Workload Deployer to provision to public clouds? No... and yes. If you install an IBM Workload Deployer appliance in your datacenter, you cannot use it to deploy to a public cloud environment. However, you may have recently heard about the IBM SmartCloud Application Services portfolio. IBM has announced that the pattern-based provisioning that one gets with IBM Workload Deployer will also be available as part of this portfolio. This means that you will be able to build and deploy patterns using a service hosted on the IBM SmartCloud. Further, your deployed systems will run on the IBM SmartCloud. Check out this demo for more information.
** IBM Workload Deployer 3.1 firmware is available on 11/18.
I want to clear something up about WebSphere CloudBurst that can sometimes cause a bit of confusion. In nearly all of our content about the appliance, we talk about it in the context of building private clouds consisting of WebSphere application environments. Typically people think of private clouds as something only those within their organization can access and utilize. However, with WebSphere CloudBurst you are not limited to creating that kind of a private cloud.
Perhaps it is more fitting that we talk about WebSphere CloudBurst as a means to create on-premise clouds. After all, that's really what we mean. You create a shared pool of hardware and network resources owned by your organization, and then you define this cloud of resources to WebSphere CloudBurst. Once that cloud is defined, you can leverage WebSphere CloudBurst to dispense your WebSphere application environments into that cloud. The accessibility of your application environments running in that cloud is entirely up to you.
You may decide that the cloud is indeed private and that only those in your organization or a smaller subset of users can access the environments. On the other hand, you may decide that you want to allow consumers in the public domain to request WebSphere application environments and then have WebSphere CloudBurst provision those environments into a public cloud. I say public here because while the cloud's resources are on your premise, access to that cloud is not restricted to within the organizational firewall. Ultimately, the determining factor for whether or not your WebSphere CloudBurst cloud is public or private is the network configuration you provide. If the virtual machines are associated with network resources that are publicly accessible, then I would say you have a public cloud.
I hope this entry didn't serve to only add to the confusion. The bottom line is this: WebSphere CloudBurst allows you to create, deploy, and maintain virtualized WebSphere environments in an on-premise cloud. Whether that cloud is public or private is entirely up to the network configuration that you setup.
As a final preview of this week's building block sessions in the Enabling cloud computing with WebSphere campaign, I caught up with WebSphere DataPower architect Tim Smith. Tim is delivering a podcast that introduces and explains the new Application Optimization capabilities in the WebSphere DataPower line of products. Here is what Tim had to say:
Me: I speak with quite a few customers about the WebSphere CloudBurst Appliance, and for once I'm happy to be the one asking this question. Why do we deliver WebSphere DataPower in the appliance form factor?
Tim: DataPower has become a dominant player in the DMZ and in the ESB. Much of the reason is that this is a purpose built hardware appliance. There are many things that our customers like about this appliance package. First, it has security as part of its DNA. The basis for securing connections, applies throughout the network whether it is in a DMZ or in an ESB. The physical box provides tamper resistant protection. Another reason is availability -- there are no spinning media, dual power supplies, and a focus on fail over support.
In both the DMZ and the ESB, there has been a proliferation of products. The main reason for the proliferation is that customers want to remove as many decisions from the general purpose server as possible, and let servers do what they do best, process application requests. The devices that have been proliferating make more decisions on the request. They do deep packet processing and routing. They also may transform the request into an entirely different request. So, there are an abundance of "pre-processing" decisions and operations made. With DataPower, many functions are integrated into the single hardware platform, giving you a smaller box count. No need to purchase and maintain several platforms, their OS and software versions, compatibility lists, etc. With a single hardware box that does so many things, we can greatly reduce the total cost of ownership for our users.
The DataPower appliance is a blend of Hardware and firmware that is well provisioned with hardware assists that help compile, parse, and assist in many of the intensive packet processing capabilities. To summarize, you get an extremely flexible and adaptable product that reduces total cost while increasing performance.
Me: A theme that comes up in cloud computing over and over is consolidation. Can you speak to the consolidation offered by WebSphere DataPower appliances with respect to the self-balancing capabilities?
Tim: Yes. My answer to the prior question was a long-winded way of describing DataPower's ability to consolidate many features into a single platform. Self-balancing is an example. As DataPower became more popular, larger installations required multiple DataPower appliances in a tier of platforms. A common architecture was to place a load balancer or IP sprayer in front of the tier to distribute the traffic evenly among the tier of DataPower appliances. An IP sprayer is an example of another platform that needs to be added to the environment. It is another box that must be purchased, managed, and maintained. Self-balancing is a feature that was added to DataPower to eliminate the need for an IP sprayer. The way it works is that one of the DataPower appliances in the tier owns the Virtual IP (VIP) Address. It receives all of the traffic, and then distributes it to each of the other DataPower appliances in the tier. If the DataPower appliance that owns the VIP address goes down, one of the others is elected and it takes over. The result is one less product required to support the same level of functionality.
Me: For much of the past, cloud computing mostly focused on virtualization and management of resources at the raw compute level (servers, storage, networking, etc.). While there is definitely ongoing focus here, we start to see it moving up the stack towards applications, and part of that effort includes more evolved application load distribution. With that in mind, how can WebSphere DataPower help users more effectively distribute requests to their applications?
Tim: If a front end appliance or gateway device can dynamically learn information about its environment, specifically the back end, it will be able to make better decisions on how and where to route the request. This is one of the tasks that the Application Optimization feature addresses. Information from the back end can of course be manually configured, but the real value in cloud computing is dynamically adapting when new server resources are brought on line or are taken off line. In the 3.8.0 release, we implemented something called Intelligent Load Distribution (ILD). Intelligent load distribution focuses on continually learning the topology of a back end, updating DataPower's load balancers with that information, and distributing the load based on the updates. In addition to the topology, ILD learns the weights associated with each server. These weights can continually and automatically change as traffic patterns change. The result is load balancing to the back end that sends the optimal amount of load to each server.
Another traffic distribution aspect incorporated into ILD is session affinity. When a server application needs to receive every request from a given client, session affinity is used to route the requests to the same server. In some sense, session affinity overrides the load balancing algorithm. The session affinity support works with any type of back end server, but with a WebSphere back end, all session affinity information is automatically configured.
Me: Continuing on the theme of application intelligence, what is this new Application Routing option in WebSphere DataPower?
Tim: ILD focused on learning the topology of the network and making better decisions based on an ever changing cloud topology. Application Routing does something similar by learning which applications are running on each server. Once a request is handed to DataPower's load balancer, the request is classified as to the application that it is targeted for. Then the request is load balanced amongst the servers that are running that application. The information to perform application routing is dynamically learned and changes as applications are added or removed.
WebSphere has invested substantially in managing the life cycle of an application. Changing from one edition of an application to the next sounds like an easy task, but it can be very difficult to perform this type of maintenance on a production environment. The DataPower appliance supports life cycle management by working with the WebSphere back end to provide group and atomic edition rollout. The rollout feature allows traffic to be gracefully diverted from servers that are being taken offline and reloaded with the new application edition. This rollout can be done while leaving the other applications on the server unaffected. This support makes edition rollout a very simple task for the system administrator.
When I first started to become aware of the cloud computing movement, I remember being intrigued but not all that aware of its possible consequences to me. After all, I was a developer not a systems administrator, so other than professional curiosity why was cloud computing all that important to me? Maybe you are a developer that can see right through my early, naive perception of cloud computing, but maybe you are a developer that, like me in the early going, doesn't quite see why cloud computing should matter to you. In the case of the latter, I've come to realize that there are several reasons why cloud computing matters to the developer. Let me try to sum up a few of those reasons for you here.
Reason #1: Developer services can be delivered via the cloudThere are many different types of services that can be realized from a cloud (public, private, or hybrid) that could have a large impact on the way developers work. As I mention in a previous post, IBM announced a Tools as a Service initiative in which IDEs are made available within a public cloud. IDEs in the cloud give developers a single development environment that can be accessed from any machine at any time. Better yet, we don't have to worry with installing and maintaining the environment. In addition to IDEs in the cloud, with the increased focus on virtualization and virtualization management that cloud is bringing, the ability to rapidly procure and instantiate runtime environments should become standard practice. This means that new ideas and new product code can be rapidly prototyped and tested. No longer should a proof of concept be delayed because it couldn't be proven in a runtime environment.
Reason #2: Cloud computing means a world of new products and offeringsAs a developer, it is a continuous battle to keep up with constantly emerging technologies, but it is imperative that we do so in order to ensure we take full advantage of available solutions. Cloud computing providers introduce a whole new world of service offerings for consumption by application developers. Cloud providers are offering new storage solutions, new database implementations, new content distribution mechanisms, new application integration capabilities, etc. As developers who may potentially be writing applications that run in the cloud, these new offerings directly affect the code we write. We need to educate ourselves about these new services, and we should understand when these solutions can be best leveraged to deliver our end product.
Reason #3: SOA becomes more importantOkay, so maybe this is not aimed squarely at the developer, but I know many times a developer wears the hat of architect as well... even if they don't know it! In a cloud computing world, the applications and services we deploy to the cloud should align and fit into our SOA. This is critical if we are to fully exploit the benefits of ubiquity offered by the cloud. Cloud computing inherently provides the ability to access services from any machine with a network connection, automatically giving the kind of service ubiquity sought by many companies. By developing these services in a SOA-compliant manner, we extend the reach by making it more readily consumable by other application components. We move beyond pure end-user applications and services, and in doing so new or increased revenue streams may be realized for the service.
These are just a few of the ways I see cloud computing currently affecting the developer's role. There are a myriad of reasons that developers should be cognizant of cloud computing, and I expect the list of reasons to boom as cloud computing continues to advance. I'd also like to hear what you think about cloud computing and the developer, so post a comment below if you would like to join the discussion.
When writing a new tool for the WebSphere CloudBurst samples gallery last week, I got the chance to use an API in the CLI that was new to me. Specifically, I got a chance to use the WebSphere CloudBurst CLI in order to retrieve an audit log from the appliance for a specified date period. In case this is new and interesting to you, I thought I would share what I found.
First off, let's take a look at the API I am talking about. It's pretty simple: cloudburst.audit.get(file, start, end). Here, start is the start date for the audit entries and (naturally) end is the end date for those entries. The file parameter simply denotes the location or file object you want to use to store the audit archive retrieved via the get method.
This is a simple enough API. The only wrinkle comes in dealing with calculating the start and end dates. According to the WebSphere CloudBurst Information Center, both the start and end times are 'specified as the number of seconds since midnight, January 1, 1970 UTC. Floating point values can be specified to indicate fractional seconds.' For my use case, I wanted to let a user or calling program pass the start and end times as arguments to the CLI script that retrieves the audit archive. Check out the relevant portion of my script below:
As you can see, the script takes in the start and end time in the MM/dd/yy HH:mm format (i.e. 05/20/10 15:30). It parses the value to produce a date, gets the long value of the date (which is in milliseconds according to the java.util.Date API), and divides that value by 1000. This is to account for the fact that the cloudburst.audit.get method expects you to express the start and end times in seconds. The script passes the converted dates along with the output file location to the get method. The result is a ZIP file that contains an appliance audit, license audit, and PVU audit file for the specified date range.
One of my favorite things about the WebSphere CloudBurst CLI is that it is Jython-based. This means I can leverage Java APIs from my CLI scripts, and that is huge for me because of my existing knowledge of the Java language. You certainly can substitute Python APIs for my use of Java APIs to handle the start and end date calculation. I hope this is helpful, and good luck with the WebSphere CloudBurst CLI!
Users of cloud computing solutions today expect to be charged for exactly the amount of compute resource they use. No more, no less. This expectation is often at the forefront of our customers' minds when contemplating the creation of internal or private clouds. They want to be sure that any solution they use audits the activity and usage of their cloud and enables them to consume this information to implement their specific chargeback scheme.
Thought it's not a feature we always seem to talk about, WebSphere CloudBurst provides the necessary capabilities to properly allocate costs to users, teams, and organizations. To start with there are some handy usage reports that you can view directly from the WebSphere CloudBurst console. For instance, as seen below, a WebSphere CloudBurst administrator can see a break down of cloud resource usage for each user of the appliance.
While the capability illustrated above is nice, it is likely that if you are implementing an enterprise-scale chargeback scheme you want to automate the processing of the usage data, thus implying the need to programatically consume such data. WebSphere CloudBurst enables you to do just this by way of its audit log. The WebSphere CloudBurst audit log is a record of each and every action taken in the appliance, along with information about who took the action, when the action was taken, what object the action was taken on, and much more. You can instruct the appliance to generate this file for a specified date range, and the output is a comma separated value file that can then be consumed in a manner of your choosing.
As an example of some of the things you can do with this data, I recently wrote a Java program that parsed the audit file and for each virtual system determined who created it, who deleted it (if it had been removed), and the duration of its existence. This program was simple (more of a string parsing exercise than anything else), but nonetheless provided necessary function and output for billing schemes based on hours of usage. If you are interested in how this was done please let me know and I'd be happy to discuss details. In the meantime, if you have any thoughts you can reach me on Twitter via @WebSphereClouds.
If you read some of my entries from time to time, chances are you know that you can use WebSphere CloudBurst to apply interim fixes and fixpacks to your deployed virtual systems. When you choose to apply either a fix or fixpack, WebSphere CloudBurst temporarily stops the virtual system, takes a snapshot of the system (the entire WebSphere cell), applies the fix or upgrade, and then starts the system back up. The result is an updated, running WebSphere cell, and if you need to, you can rollback the virtual system to the previous configuration by simply clicking a button.
In WebSphere CloudBurst 1.0 the application of fixes and upgrades were applied via the web console which made it hard to automate this process. However, in WebSphere CloudBurst 1.1 you can use the command line interface to apply fixes and fixpacks to virtual systems. The appliance still takes the actions I described above, thus the process is still simple, safe, and fast. The only difference is the interface through which you drive the application of the maintenance.
What does it look like? Quite frankly, it's very simple. You can go through all of my virtual systems and apply both fixes and fixpacks with the seven line script below:
for virtualSystem in cloudburst.virtualSystems:
fixes = virtualSystem.findFixes()
if len(fixes) > 0:
upgrades = virtualSystem.findUpgrades()
if len(upgrades) > 0:
You can write this script once, save it as a Jython file, and run it with the CLI's batch mode anytime you want to roll out maintenance to your virtual systems. It's really amazing to me that the above SEVEN lines are capable of rolling out all fixes and all upgrades within your WebSphere CloudBurst catalog to every virtual system the appliance is managing. I can't think of an easier or safer way to automate the deployment of fixes/upgrades to your WebSphere environments.
Let me know if you have any questions. As always you can reach me on Twitter @WebSphereClouds.
I spent most of my time growing up doing two things, going to school and playing sports. I made many fond memories -- mostly from the latter :) -- and learned more than a few lessons over that time. Of all of those lessons, there was one in particular that stuck out in both the classroom and on the baseball diamond: Sometimes you have to get back to the basics.
In that vein, I think it is time to revisit the basics of WebSphere CloudBurst. In revisiting the basics, I am not talking about the technical basics of the appliance. Rather, I am talking about revisiting exactly why WebSphere CloudBurst exists in the first place. In other words, let's take a look at the problem domains WebSphere CloudBurst addresses, and let's discuss a little bit about how the appliance does so.
One of the things I haven't written about much here is how the WebSphere CloudBurst Appliance integrates with other IBM software solutions. One of those interesting integration scenarios, and one I think is particularly useful for developers, involves Rational Build Forge.
Very simply put, Rational Build Forge is an adaptive execution framework that allows users to define completely automated workflows for just about any purpose. These workflows are represented as projects that contain a discrete number of steps. When looking at Rational Build Forge through the software assembly prism, the offering allows users to fully automate and govern the process of building, assembling, and delivering software into an application environment.
Now, on to the integration of WebSphere CloudBurst and Rational Build Forge. Users can build custom patterns in WebSphere CloudBurst that include a special script package (which I'll eventually provide a link to from here). This script package provides the glue between the deployment process in WebSphere CloudBurst and Rational Build Forge. When deploying a WebSphere CloudBurst pattern that contains this script package, users provide the name of a Rational Build Forge project as well as information about the Rational Build Forge server on which the project is defined.
Once the necessary information is supplied, the deployment process gets underway. Toward the end of the deployment, like all other scripts included in patterns, the special Rational Build Forge script is invoked. This results in the project specified during deployment being executed on the virtual machine created by WebSphere CloudBurst.
Because the Rational Build Forge project executes on a virtual machine setup by WebSphere CloudBurst, the individual steps of the project can very easily access the WebSphere Application Server environment. Thus, the Rational Build Forge project could very easily contain steps to build, package, and deploy an application into the WebSphere Application Server cell. The result is a fully automated process that includes everything from standing up the application environment to delivering applications into that environment.
I put together a short demonstration of this integration, and you can take a look at it here. As always, please let us know if you have any questions or comments. Your feedback is much appreciated!
One of my favorite things to do is create content that you, our users, can directly use to adopt and implement our products. Luckily for me, my job allows me to spend a considerable time doing just that for our WebSphere CloudBurst Appliance. In the course of this kind of work, I use multiple different mediums to hand over what I hope is helpful content to you. This includes blogs, articles, demos, and the WebSphere CloudBurst Samples Gallery.
While I like creating content for all of these forums, if I had to pick a favorite, I'm going to go with the samples gallery every time. The reason for this is simple. Users can download and directly use the content in the samples gallery. The samples gallery plays host to script packages, CLI scripts, and other tools that are ready to use with WebSphere CloudBurst (of course, one can also extend these or simply use them as reference). Further, the samples in the gallery are mostly direct responses to suggestions or requests I get from users regarding this type of content, thus increasing its usefulness and relevance.
A good example of the kinds of assets in the gallery is the latest script package I put out there. Recently, I was talking to a user and asked, 'What do you do every single time you establish a WebSphere Application Server environment?' He outlined a few different tasks, one of those being the creation of virtual hosts in the server's configuration. The creation of virtual hosts piqued my interest because many users do that, and the configuration logic itself is fairly consistent regardless of the administrator doing the task. Therefore, I set about creating a sample script package that you can use to create virtual host configuration in WebSphere Application Server.
The script package does two things. It creates virtual host entries, and it configures host aliases for these entries. The script allows the user to supply the data for the entries and aliases they want to create via a properties file. The properties file is pretty basic and allows for the configuration of multiple host aliases for each virtual host entry. Here is an example properties file:
The script package parses the data from a properties file like the one above, and it creates the appropriate WebSphere Application Server configuration. If you are using WebSphere CloudBurst and this kind of configuration task is common for your deployments, you may want to download this free sample. I also want to point out that there are quite a few more samples that are completely free for you to download in the gallery. Check them out and let me know what you would like to see in the samples gallery!
It's really hard to complain about my work week right now. As I write this blog, I'm sitting in the Congress Center in Düsseldorf, Germany looking out over the Rhine River. As an aside, in Germany it is the Rhein River, and I have a historical connection to this body of water. My surname, Amrhein, translates (loosely) to 'on the Rhein'. It does not take an expert in genealogy to conclude that I have ancestors who at one time or another lived very close to this important German waterway.
Okay, putting the family tree aside for a minute, there is a good reason that I am in Düsseldorf this week. The city, and specifically the Congress Center, is playing host to the IBM European WebSphere Technical Conference. I am here presenting sessions that include a WebSphere CloudBurst overview, a WebSphere CloudBurst hands-on lab, and an up-close look at one of our internal team's use of the appliance. I have done each of these sessions once so far, and attendance was great, audience participation high, and feedback forthcoming. I am hearing and seeing the same thing in other sessions, which is of course, ideal for us presenters.
Now, to focus in on WebSphere CloudBurst for a bit, it seems that I am hearing a recurring question this week from the mostly European audience: "Why is WebSphere CloudBurst delivered as an appliance?" I am sure that I addressed this question in a previous blog post, but I believe it bears revisiting. There are various reasons I could give for the appliance form factor, but I like to distill all of that down into three major reasons: Consumability, Performance, and Security.
From a solution consumability perspective, nothing beats the appliance approach. WebSphere CloudBurst is an integrated hardware and software solution that delivers a specific set of function. You do not have to install software, procure and maintain storage for resources on the appliance (images, patterns, scripts, etc.), and maintain software components over time. You simply drop the appliance in to your data center, perform a one-time initialization, hook it up to the network, and you are ready to start leveraging WebSphere CloudBurst to build out your private cloud. While there is definitely work to setup the cloud infrastructure that WebSphere CloudBurst deploys environments to, we can completely eliminate a significant portion of solution implementation lead time by delivering everything you need in the appliance.
The performance benefits of an appliance approach are a natural result of building an integrated hardware and software stack. Design and development teams provide optimizations in both the hardware and software based on the fact that both the hardware and software have intimate knowledge of each other's design. In other words, this is not a 'least common denominator' tuning approach. Rather, the integrated design leads to enhanced performance for the specific set of functionality provided by WebSphere CloudBurst.
Finally, appliances enable us to deliver a very hardened, secure device. We provide private key encryption of every resource stored on the appliance. That private key is unique to each appliance and cannot be modified. In addition, the physical casing is tamper-resistant. If someone removes the casing, a 'Get Smart' style kill switch puts the appliance in a dormant state. You must send the appliance to IBM so we can reset it before further use, thus providing an additional layer of physical protection on top of the encryption. These security features, plus more, like a shield that prevents anyone from executing code on the appliance, come right out of the box and require no end-user configuration activity. In this way, you can simply focus on leveraging the user security and access controls provided by WebSphere CloudBurst.
If you had any questions on the rationale behind the appliance form factor of WebSphere CloudBurst, I hope this helps. I am off for now... back to the conference and the wonderful city of Düsseldorf.
WebSphere configuration management practices are common items of conversation that comes up when I am talking with users about IBM Workload Deployer (formerly WebSphere CloudBurst). This conversation can take on so many different avenues that it is hard to capture all of them in a short blog post. So, for the sake of this post, let's consider two facets of WebSphere configuration management. The first facet is addressing the need to consistently arrive at the same configuration across multiple deployments of a given WebSphere environment. The second facet involves managing the configuration of a deployed environment over time to protect against living drift. What is the best way to tackle these two challenges? Well, it comes down to picking the right tool for the job.
When it comes to ensuring consistency of initial WebSphere configuration from deployment to deployment, there is really no better means than patterns-based deployments enabled by IBM Workload Deployer. Whether you are using a virtual system or virtual application pattern, the bottom line is that you are representing your middleware application environments as a single, directly deployable unit. When you need to stand that environment up, you simply deploy the pattern. The deployment encapsulates the installation, configuration, and integration of the environment, and your applications if you so choose. The benefit of this approach is that once you get your pattern nailed down, you can be extremely confident that the initial configuration of your environments is extremely consistent from deploy to deploy. Basically, no more bad deployments because someone forgot to run configuration step 33 out of 100!
Because we talk about the benefits of consistency provided by our IBM Workload Deployer patterns, users often ask what IBM Workload Deployer does in terms of configuration governance for deployed environments. In other words, they ask how IBM Workload Deployer helps them to track configuration changes or compare the configuration of a deployed environment to a known good one. The honest answer is that this is a bit beyond the functional domain of the appliance. While IBM Workload Deployer does allow you to manage the deployed environment (apply fixes, update deployed applications, snapshot, etc.), it does not layer some of the common configuration governance concerns on top of that. However, there is a good reason why the appliance does not focus on that. It's because Rational Automation Framework for WebSphere does!
If you find yourself wanting to actively track configuration changes, periodically (and automatically at specified intervals) compare configuration changes to a 'golden' baseline, import configurations of a known good environment, apply common configuration across a number of cells, then the capabilities of RAFW would likely be of interest to you. It can do all this and give you an incredible toolbox of out-of-the-box application deployment and configuration capabilities for WebSphere environments. In my mind, for those that spend a good deal of time dealing with WebSphere configuration, whether it be deploying applications, configuring containers, or debugging inadvertent changes, an examination of RAFW functionality is a must.
Now it is time for a bit of disclaimer/clarification. I am not suggesting that you pick one or the other when it comes to IBM Workload Deployer and RAFW. In fact, there are many scenarios where 1+1=3 with these two solutions, and I have written about it many, many times (including this article). That said, I think it is important to highlight the relative strengths of each product, so that it is easier to map it back to your pain points. In honesty, many of the users I talk with have challenges in getting the initial configuration right AND managing it over time. That kind of problem beckons for the integrated IBM Workload Deployer/RAFW solution.
Of course, technology only gets you so far when it comes to these kinds of problems. It would be disingenuous of me to suggest otherwise. It has always been and will continue to be important to establish clear and rigorous processes around the way you deploy, manage, and change environments. This just gives you an idea of some of the tools you can leverage to aid in the implementation of those processes.
"What is the difference between WebSphere CloudBurst and IBM CloudBurst?" After the IBM Pulse 2010 event this week, I'm hearing this question in my sleep. It came from both our customers and other IBMers, and it's not hard to understand the confusion caused by the name similarity. Let's take a shot at clearing up any confusion around the two separate offerings and explain the complementary value WebSphere CloudBurst can provide IBM CloudBurst.
Both IBM CloudBurst and WebSphere CloudBurst provide capabilities to enable private, or on-premise, clouds. The main differences between the products are the degree to which they are purpose-built and the form in which they are delivered. First off, the IBM CloudBurst solution form factor consists of three primary elements: service management software, hardware, and IBM services. The software portion of the package provides general purpose (very important distinction) provisioning, workflow, and management capabilities for the services that make up your cloud. These services could consist of WebSphere software or any other software that you can package into a virtual image format. The hardware is the actual compute resource for your on-premise cloud, and the IBM services portion of the package provide a fastpath to get started with your cloud implementation.
On the other hand, WebSphere CloudBurst is a cloud management hardware appliance that delivers function to create, deploy, and manage virtualized WebSphere application environments in an on-premise cloud. WebSphere CloudBurst is purpose-built for WebSphere environments meaning that a lot of the things users would have to script with general purpose cloud provisioning solutions (creating clusters, federating nodes into a cell, applying fixes, etc.), are automatically handled by the appliance and virtual images with which it ships. Also, it is important to note that WebSphere CloudBurst works on a "bring your own cloud" model. The virtualized WebSphere application environments do not run on the appliance, but instead they are deployed to a shared pool of resources to which the appliance is configured to communicate.
While we are talking about two offerings that have the noted differences above, I should also point out the how and why of the integration of these two offerings. The WebSphere CloudBurst Appliance can be leveraged from within the IBM CloudBurst solution to handle the provisioning of WebSphere middleware environments in your data center. From the included Tivoli Service Automation Manager interfaces in the IBM CloudBurst solution, you can discover and deploy WebSphere CloudBurst patterns that exist on an appliance in your data center. WebSphere CloudBurst will deploy the patterns to the set of hardware resource provided by the IBM CloudBurst solution. Why would you want to integrate the two? If a large portion of your data center provisioning involves WebSphere middleware environments, WebSphere CloudBurst provides quick time to value and low cost of ownership. The WebSphere know-how is baked into the appliance and the virtual images it ships meaning that you don't need to develop and maintain what would be a rather large set of configuration scripts for the WebSphere environments running in your cloud.
I hope this clears the air a bit about not only the difference in IBM CloudBurst and WebSphere CloudBurst, but also about how and why these two can be integrated. I will never answer everyone's question in a simple blog post, so if I didn't address yours please leave a comment or reach out to me on Twitter @damrhein.
Can you have cloud computing without virtualization? I don't think so. Some have stated to me that they believe a cloud could b contrived without virtualization but I don't see it. Cloud computing is all about being able to expand or contract an enterprise on demand and as a service. Without deployable virtual images there is no mechanism for doing this efficiently.
I suppose that you could argue that clouds do not necessarily include the OS or the hardware and that you could scale by use of templates and configuration files to clone systems. That is cloning. Cloning, spawning, parallel processing and other mechanisms for creating capacity and processing power dont have the scope that a full cloud implementation has. Cloud computing is an administration paradigm that may share or even employ some or all of these other techniques but can include more.
I guess the biggest thing that sets cloud computing apart from cloining or spawning is that cloud computing is a paradigm for a flexible distributed computing platform. Cloning and spawing are techniques as is Virtualization.Clouds are entire managed infrastructures where virtulized systems are simply tools and cloning is a function of products.
When we talk about clouds, we tend to think of the usual enterprise with servers centralized in data centers or in server rooms. At least, I do. But why does
it have to be so? Any IT shop will have many more computers than what is in the server farm. With hardware technology accelerating, as always, even desktop machines are capable of multiprocessor computing and doubling as servers.
Cloud offers the ability to do more than web commerce. The concept of cloud can have broad implications for all kinds of parallel processing needs. Right now, there are a number of organizations from SETI to large medical research firms that use volunteers on the internet to help compute through massive computational workloads. The ability to do that on a wider scale is limited by the need to deliver more sophisticated or even proprietary software on the member systems.
What if workstations could be conscribed to be part of a cloud? When the workstation owner is not using it, the entire machine could be repurposed for another need. Then during work hours, the owner's image could be restored. Private owners could even lease their processing time and make some extra money or earn credit of some kind.
Right now I am surrounded by several multicore processor based systems. Any one of them could power a web presence for a small business. All of them could power the website for a medium business. If I maintained a small cloud using the computers of my neighbors, I could possibly lease powerful computing cycles to render the next animated movie or to compute fractal geometry calculations for climate models. If I operated between 9PM and 6AM I could deliver more than a day's worth of computing gain. What would that be worth?