The WebSphere Application Server Hypervisor Edition virtual image is made up of four different virtual disks. One of those disks contains pre-created and pre-configured WebSphere Application Server profiles. When the image is activated (either through WebSphere CloudBurst or in a standalone fashion), all of the profiles not being used are deleted leaving only the intended WebSphere profile type.
Since the profiles are pre-created, this implies that certain information must be updated after the image is activated to reflect things that change with each node that is created. Among other things, the cell name, node name, and host name of the WAS profile configuration are usually updated during the image activation process. Nearly every time I talk to WAS administrators about WebSphere CloudBurst and WebSphere Application Server Hypervisor Edition they are intrigued by this particular configuration update and almost always ask "How do you do it?" (Dustin's note: Since the command to rename the cell is not officially documented, I have removed it from this post. I'm sorry, but it is for your own good!)
Most of the time this question pops up because users are attempting to, with a more narrow focus than WAS Hypervisor Edition, freeze-dry certain WAS configurations in their organization. However, no matter how they do that (virtual images, zipped up configuration files, etc.), they too need to update things like the cell, node, and host names when attempting to reuse the configuration. Many have gone down the route of trying to identify all of the different XML files they need to change in order to update this information, but this is untenable and in fact unnecessary.
If you need to update the node or host name, forget manually updating XML files. Instead, use these three wsadmin commands:
The commands can be run from a standalone node or from a deployment manager node. They are pretty straight forward, and if you need more information about them just take a look in the WebSphere Application Server Information Center. I hope this is helpful information, and stay away from those XML files!
I hate sitting on secrets. I always have. I understand that sometimes it's in the best interest of everyone (and your job) to keep tight lips, but that does not make it any more fun. Inevitably, the run-up to our annual Impact conference means everyone in the lab is doing their fair share of secret keeping -- just waiting for announce time. For a lot of us, that day ended Tuesday with the announcement of the IBM Workload Deployer v3.0.
Now, you may be wondering, 'I have never heard of this. Why is it version 3.0??' Well, IBM Workload Deployer is a sort of evolution of the WebSphere CloudBurst Appliance, which was previously at version 2.0. This is good news for all of our current WebSphere CloudBurst users because all of the functionality (plus new bits of course) that they have been using in WebSphere CloudBurst are present in IBM Workload Deployer. You can use and customize our IBM Hypervisor Edition images in IBM Workload Deployer. You can build and deploy custom patterns that contain custom scripts in order to create highly customized IBM middleware environments. So, what's the big deal here? Two words: workload patterns.
Workload patterns represent a new cloud deployment model and are an evolution of the traditional topology patterns you may have seen with WebSphere CloudBurst Appliance (I am a little torn between evolution and revolution, but that's splitting hairs). Fundamentally, workload patterns raise the level of abstraction one notch higher than topology patterns and put the focus on the application. That means, when you use a workload pattern the focus is on the application instead of the application infrastructure. Perhaps an example would be helpful to illustrate how a workload pattern may work in IBM Workload Deployer.
Let's consider the use of a workload pattern that was part of the recent announcement, the IBM Workload Deployer Pattern for Web Applications v1.0. Just how might something like this work? It's simple really. You upload your application (maybe a WAR or EAR file), upload a database schema file (if you want to deploy a database with the solution), upload an LDIF file (if you want to setup an LDAP in the deployment to configure application security), attach policies that describe application requirements (autonomic scaling behavior, availability guidelines, etc), and hit the deploy button. IBM Workload Deployer handles setting up the necessary application middleware, installing and configuring applications, and then managing the resultant runtime in accordance with the policies you defined. In short, workload patterns provide a completely application centric approach to deploying environments to the cloud.
Now, if you are a middleware administrator, application developer, or just a keen observer, you probably have picked up on the fact that in order to deliver something as consumable and easy to use as what I described above, one must make a certain number of assumptions. You are right. Workload patterns encapsulate the installation, configuration, and integration of middleware, as well as the installation and configuration of applications that run on that middleware. Most of this is completely hidden from you, the user. This means you have less control over configuration and integration, but you also have significantly reduced labor and increased freedom/agility. You can concentrate on the development of the application and its components and let IBM Workload Deployer create and manage the infrastructure that services that application.
Having shown and lobbied a bit for the benefits of workload patterns, I also completely understand that sometimes you just need more control. That is not a problem in IBM Workload Deployer because as I said before, you can still create custom patterns, with custom scripts based on custom IBM Hypervisor Edition images. The bottom line is that the IBM Workload Deployer offers choice and flexibility. If your application profile meshes well with a workload pattern, by all means use it. If you need more control over configuration or more highly customized environments, look into IBM Hypervisor Edition images and topology patterns. They are both present in IBM Workload Deployer, and the choice is yours.
If you happen to be coming to IBM Impact next week, there will be much more information about IBM Workload Deployer. I encourage you to drop-by our sessions, ask questions, and take the opportunity to meet some of our IBM lab experts. Hope to see you in Las Vegas!
Since its introduction and initial release around one year ago, activity around WebSphere CloudBurst has been a steady buzz. New images, features, enhancements have been rolling in, and can sometimes be a little overwhelming to digest. With that in mind, I want to address a related and frequent question. What products does IBM support for use in WebSphere CloudBurst?
To answer that question, we only need to look at the IBM Hypervisor Edition images currently provided by IBM. Here's a quick matrix of those images:
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.
When one uses IBM Workload Deployer (previously WebSphere CloudBurst) to deploy a virtual system pattern, they benefit from a completely automated deployment process. The automation includes the creation and placement of virtual machines, injection of IP addresses, initiation of internal processes, and invocation of included scripts. Most of these processes are straightforward and require little more than a brief overview. However, the placement of virtual machines stands out, and it's inner workings are the subject of quite a few questions when I discuss the appliance. With that in mind, I thought I would provide a little more information on how the placement algorithm in IBM Workload Deployer works.
The placement subsystem in IBM Workload Deployer considers three primary elements: compute resource, availability, and license optimization. Compute resource availability is the gating factor for placement. That means that IBM Workload Deployer first looks at the available CPU, memory, and storage resource in the collection of hypervisors making up the cloud group(s) you are targeting for deployment. If a particular hypervisor cannot provide enough resource based on the amount you requested for your deployment, then it is automatically taken out of the eligible hosts pool. It is important to note that IBM Workload Deployer will overcommit CPU, and it will overcommit storage if you direct it to do so. It will not overcommit memory because that could severely degrade the performance of the application(s) running in the virtual machines.
After choosing the pool of hypervisors that are capable of hosting the virtual machines in your deployment from a compute resource perspective, the appliance then considers high availability. To better understand this particular placement stage, let's consider an example. Consider you are deploying a pattern based on WebSphere Application Server Hypervisor Edition and it contains two custom node parts. It is conceivable, and in fact likely, that these two custom node parts will host members of the same cluster, and thus the two nodes will support the same applications. As such, IBM Workload Deployer will attempt to place the two custom nodes on different physical machines in order to prevent a single point of failure. Of course, this depends on having two hypervisors with enough resource (CPU, memory, storage) to host the virtual machines, but the appliance makes that decision in the first placement stage.
After considering compute resource and high availability, IBM Workload Deployer moves to the last stage of placement: license optimization. In this stage, the placement subsystem attempts to place the virtual machines on hypervisors in a way that minimizes the licensing cost to you. The appliance can do this because it is aware of IBM virtualization licensing rules and takes those into account during this stage (if you aren't familiar with virtualization licensing rules and you are curious, ask you're sales representative to explain some time). During this stage, it will not violate any resource overcommit directives or rules in place, nor will it compromise system availability, but it will seek to minimize costs within these parameters.
At this point, I should make something clear that may already have occurred to you. You can override most of these placement rules by creating a cloud group containing only one hypervisor. In this case, IBM Workload Deployer will put all virtual machines on the single hypervisor until it runs out of compute resource (memory is likely to be the constraining factor). I would not suggest that you do this unless you have a good reason or you are in a simple pilot phase, but I do like to point out the art of the possible!
While not incredibly deep from a technical perspective, I do hope that this provided a few helpful details on what goes on during the placement stages of deployment. If you have any questions, do let me know.
Everybody likes having choices. This is true whether you are talking about lunch or deploying to a private cloud. When IBM Workload Deployer v3.0 was first introduced it included a pattern type for our Database-as-a-Service offering. The DBaaS PatternType v1 provided substantial value in an easy to use form factor to get a database up and running quickly and then provided the necessary tools to manage that environment. Pretty impressive for a first release! But the story doesn't end there. IBM Workload Deployer v3.1 brings an updated version of this pattern type that builds upon this foundation and adds even more capabilities and more choices.
Some of you may not be familiar with the Workload Deployer Database-as-a-Service offering so let me give you a brief introduction. Database-as-a-Service patterns allow you to define and deploy database applications into your private cloud environment with speed and consistency. These offerings also provide integrated management and monitoring capabilities. The Database-as-a-Service capability can be used in conjunction with a web application pattern (Patterns -> Virtual Applications, IBM Web Application Pattern) by including a database component in a pattern connected the web application components to use it. In this case the web application and database are deployed and managed as a unified solution with a common life-cycle as shown in the pattern below.
Database patterns can also be created and deployed as standalone entities (Patterns -> Database Patterns) that have their own life-cycle, independent of the virtual web application(s) that use the database. What's more, you can leverage these stand-alone databases from applications both inside and outside your private cloud.
Whether you use a stand-alone database pattern or one that is part of a web application pattern, the attributes and capabilities of the database are consistent.
So what is new in this release? For starters, the DBaaS PatternType has been renamed and the capabilities expanded. For Workload Deployer v3.1 the pattern is delivered as the IBM Database Patterns v1.1 and includes several elements to provide predefined configurations: the IBM Transaction Database Pattern and the IBM Data Mart Pattern.
Before we take a closer look at the new features I just want to alert you to one thing. Before you can leverage any of these new features you first need to accept the licenses and configure the plugins for the database pattern types. So look at the link and follow the directions if you would like to along and you aren't seeing the same options in your IBM Workload Deployer V3.1 system.
Using the screen shot above as a reference, let's take a look at what you can specify when creating a database pattern. You start with a name for the pattern and an optional pattern description. You also specify the maximum user data space size and an optional schema file. These are pretty basic and were all available with in the previous release. Another really nice feature that has also been available since the first release is the ability to specify a compatibility mode for DB2 and Oracle (a nice feature if you are looking to move content from existing databases).
Some of the new enhancements appear in the middle of the view; the purpose and source. The purpose specifies if this database is to be used for production or non-production (test and development). Your selection will optimize license management for deployed instances of this pattern.
The source field lets you specify a database configuration to be used to provision this database. You can choose from two different provisioning approaches; applying a workload standard or cloning from a database image. When choosing apply a workload standard you select between two predefined, optimized database configurations. These configurations will run a set of scripts to tune the operating system and instance configuration for the database. The departmental transactional standard is optimized for online transaction processing applications while the data mart standard is optimized for data mining purposes and is therefore more suitable for reporting applications. If those aren't exactly what you want but you have an existing database you can use the clone from a database image approach by selecting an existing database image backup as a model for the new database pattern. When using the clone method metadata from the backup is retrieved and a DB2 restore command is used to set the same configuration for the new database instance. Reference the cloning from a database image topic in the IBM Database Patterns information center for more details.
Once the pattern has been created you can deploy the pattern to a target cloud group or an environment profile (another new feature for database deployments in IBM Workload Deployer V3.1).
I hope you can see the value that has been added with the source configuration choices and the ability to clone an existing configuration. They are certainly substantial new features of the Database-as-a-Service solution in Workload Deployer V3.1. However, there are a number of other significant enhancements that I would just like to mention as well. In other posts we've discussed the new ability to deploy virtual applications to run on AIX with a PowerVM hypervisor. As you might expect this same ability is also available to deploy database patterns to run on AIX systems leveraging PowerVM. Management capabilities have also been significantly enhanced with the ability to configure automated database backups using the IBM Tivoli Storage Manager. These features and many other aspect of the Database-as-a-Service model are detailed in the IBM Database Patterns information center and the IBM Workload Deployer information center. My goal here has not been to replicate our product documentation - it is rather my goal to provide a few highlights and provide pointers to help you get started. I hope it has been useful.
You can be sure that we will continue enhancing and improving our Database-as-a-Service offering in IBM Workload Deployer. Please provide your feedback so that we can make it even better.
Every time I've visited with customers about WebSphere CloudBurst, without fail someone requests that the appliance support products besides the WebSphere Application Server. We started to address these requests with WebSphere CloudBurst 1.1 when we announced the availability of a DB2 Enterprise 9.7 trial virtual image specifically packaged for use in the appliance. Very recently we continued to respond to customer requests by extending the list of supported products in WebSphere CloudBurst to include WebSphere Portal.
The WebSphere Portal Hypervisor Edition, initially offered as a Beta product, is a virtual image packaging of WebSphere Portal 6.1.5 ready for use in the WebSphere CloudBurst Appliance. The image includes a pre-installed, pre-configured instance of WebSphere Portal. Also contained within the image is an IBM HTTP Server instance configured to route to the WebSphere Portal instance and a DB2 instance installed and configured as the external database for WebSphere Portal. The WebSphere Portal instance also includes Web Content Management enablement along with several samples to help users get started right away.
The user experience when building and deploying WebSphere Portal patterns remains consistent with the existing experience for WebSphere Application Server and DB2 patterns. Another good note is that you can expect similar rapid deployment capability for WebSphere Portal patterns. I got a running virtual system, with all the parts I mentioned above installed and configured (meaning no after the fact integration scripting was necessary) in under 15 minutes.
To see more, check out my new demonstration of the WebSphere Portal Hypervisor Edition for the WebSphere CloudBurst Appliance. If you have a WebSphere CloudBurst Appliance you can download the WebSphere Portal Hypervisor Edition image and a usage guide from here.
I spend most of my time talking with our users about the WebSphere CloudBurst Appliance. While I believe the appliance is somewhat of a hybrid among the Infrastructure as a Service and Platform as a Service layers of the cloud, it is definitely closer to IaaS than PaaS. Users recognize that, and they can identify the capabilities of WebSphere CloudBurst that correlate with IaaS cloud functionality.
That said, I often get questions regarding IBM and work in the PaaS arena. These include questions like, 'Is IBM planning to do anything with PaaS?', 'What is your take on PaaS?', 'What kind of applications do you plan on targeting with your PaaS offering?', and more.
Well, rest assured that IBM is definitely embracing the PaaS movement. Instead of trying to answer these questions in this post though, I want to make you aware of a recent InfoQ interview with IBM WebSphere CTO, Jerry Cuomo. In the interview, Jerry answers the questions above and much more. Jerry talks about IBM's plans for PaaS, what such a platform might look like, and how he sees IBM competing against some of the cloud players in this space.
The interview runs about a half hour, but there is a very nice table of contents that allows you to navigate to specific question/answer segments with Jerry. If you are interested in PaaS, and specifically in IBM's intention in this space, I encourage you to take a look at the interview. Let me know what you think!
A while back I had a four part FAQ series inspired by questions arising from customer visits discussing the first release of WebSphere CloudBurst. With the recent release of WebSphere CloudBurst 2.0, I think it is a good time to revisit an FAQ series with an entirely new set of questions.
For the first part of the series, I want to address a question we get all the time now: "What is the difference between WebSphere CloudBurst and WebSphere Virtual Enterprise?" This question was always fairly common, but now even more so because the new Intelligent Management Pack option for WebSphere Application Server Hypervisor Edition allows you to deploy WebSphere Virtual Enterprise cells using WebSphere CloudBurst.
Fundamentally, the difference between the WebSphere CloudBurst Appliance and WebSphere Virtual Enterprise is a complementary one. WebSphere CloudBurst provides a means to create your application environments, deploy them into a shared, cloud environment, and then manage them over time. In this respect, the appliance focuses on bringing cloud-like capabilities to the application infrastructure layer of your application environments. WebSphere CloudBurst does give you management capabilities for your running, virtualized application environments (i.e. applying maintenances and fixes), but for the most part those capabilities do not extend into the application runtime environment.
Now, you may ask why WebSphere CloudBurst does not extend its reach into the application runtime. The answer is simple: We already have a solution that does just that, WebSphere Virtual Enterprise. WebSphere Virtual Enterprise provides capabilities that allow you to dynamically and autonomically manage your application runtime. You can use WebSphere Virtual Enterprise to not only assign performance goals to your applications, but also to declare the importance of a given application meeting its goals relative to other applications in your organization. This enables the dynamic management of your applications and their resources such that your applications perform according to their goals and relative importance to your business. Simply put, you get an elastic runtime at the application layer of your application environments.
As I said, WebSphere CloudBurst and WebSphere Virtual Enterprise are complementary solutions. Both enable notions of cloud computing, but at different layers of your application environments. WebSphere CloudBurst hones in on the application infrastructure components, while WebSphere Virtual Enterprise zeros in on the applications running in those environments. The new Intelligent Management Pack for WebSphere Application Server Hypervisor Edition means that WebSphere CloudBurst can now dispense WebSphere Virtual Enterprise environments into your on-premise cloud. That means you can take advantage of these complementary solutions from a single and simple management plane.
I hope this helps to clear things up. As always, questions and comments are welcome!
A cloud is more than just coalesced water vapor. If it were then fog, mist and steam would all be considered a cloud. In truth, some definitions do say exactly that. However, we communicate most effectively when words have clear and distinct meanings. If I were to ask you to visualize a cloud, you would think of the puffs of grandeur in the sky. No matter what you think of in addition, that image would be invoked. Even if you are unsure of the context, that image would be amongst the most likely possibilities. Sky clouds, as envisioned, do require water vapor but they also require air, space, pressure and light to form that common image.
What's the point? The point is that the word, 'cloud', has a commonly understood meaning, regardless of the technical or scientific details that can make that specific meaning less exclusive. No one is served by making the definition more ambiguous. Similarly, the description and components of cloud computing should not be watered down to allow every conceivable enterprise feature or outcome.
Cloud computing is a way to maximize capacity and utilization and to minimize space, maintenance and to simplify governance. It offers these benefits by employing virtualization concepts and capitalizing on the emergence of patterns in enterprise topologies.
Virtualization is not a cloud solution, but a cloud solution will require virtualization in some form, whether it be cloning or full virtual images. Similarly, parallel processing on pooled resources is not a cloud but the principles of that are important to the conception of an effective cloud. However, a cloud also requires understanding of the enterprise, a clear picture of patterns and topologies and an efficient process for managing images as distinct entities. In other words, it's not just water vapor.
Cloud computing is the product of the evolution of networks and enterprises. It requires many things that have existed for years but only now have developed to the point where we can achieve the power and flexibility that cloud computing offers. Weighing down the grandeur of the cloud concept by overemphasizing some constituent part or by understating the importance of its management and governance serves no one except for the few trying to get a free ride in the sky.
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.
In the previous post Dustin shared a great video demonstrating the value of the IBM Image Construction and Composition Tool that is now delivered with IBM Workload Deployer V3.1. This is certainly one of the key new features of IBM Workload Deployer V3.1. However, there are also a number of other compelling enhancements and features that we would like communicate.
I created the attached video to highlight some of these features included in new Workload Deployer release. The video uses the web console to highlight some of the features and capabilities, giving a brief introduction for each one. Without going into a lot of depth, I think it gives a nice overview. This may be especially helpful if you already have Workload Deployer v3.0 and want to see the value you will get when you upgrade to Workload Deployer v3.1. Check it out.
We believe that these new features make IBM Workload Deployer V3.1 an even better solution for your private cloud needs. Please let us know what you think.
Not long ago I created a demonstration that highlighted the new support for the PowerVM platform introduced in WebSphere CloudBurst 1.1. In that demonstration I showed how you can deploy to a PowerVM cloud by defining a new cloud group that interfaces with a VMControl instance to manage a pSeries cloud environment. However, in the demo I did not go into much detail about the components of a pSeries cloud used with WebSphere CloudBurst.
Since pictures help me out a lot, I thought I’d start the discussion with an image that depicts the components in the pSeries cloud environment and the workflow when using WebSphere CloudBurst to deploy systems to this environment.
The workflow begins when a user requests the deployment of a pattern and targets that deployment for a PowerVM cloud group. WebSphere CloudBurst first checks that the cloud group contains the compute resources necessary to deploy the pattern. After the resource checks are complete, WebSphere CloudBurst decides where to place each virtual machine that will be created from deployment using its intelligent placement algorithm. No matter the type of the cloud environment being utilized the appliance retains control over placement decisions, thus ensuring the virtual system has been deployed in a way that optimizes both performance and availability.
Once the placement decision has been made, WebSphere CloudBurst communicates with the VMControl instance, which in turn instructs the Hardware Management Console (HMC) to create LPARs on the targeted pSeries machines. These LPARs will host the virtual machines that represent the WebSphere Application Server nodes in your virtual system. After the LPARs have been created, WebSphere CloudBurst leverages VMControl to instruct the Network Installation Manager (NIM) to deploy virtual images to the necessary LPARs.
When the LPARs have been created and the virtual images have been deployed to those LPARs, the common process of virtual system creation can proceed. This process includes starting virtual machines, starting WebSphere Application Server components, and running any user-supplied scripts. The end result is a ready to use, virtualized WebSphere Application Server cell running on the PowerVM hypervisor platform.
I hope this provides a nice overview of the underlying environment when PowerVM hypervisors are used with WebSphere CloudBurst. As for those users who are not WebSphere CloudBurst cloud administrators, the information above is nice to know but not necessary. The user experience with respect to building, deploying, and managing your virtualized application environments with WebSphere CloudBurst is consistent regardless of the type of your cloud platform.
I recently read a post by David Linthicum in which he proposes that a key benefit of cloud computing is the ability to transfer risk from the enterprise to the cloud provider.
At first glance, this seems an obvious benefit of using a public cloud for computing resources. Cloud providers take care of the onerous task of providing computing resources across an organization. If the resources need to be updated, require critical maintenance, or need emergency action, the cloud provider will provide those services. Enterprise IT departments are left to devote effort toward delivering technological capabilities to the business. However, does any of this imply a transfer of risk?
I'd answer that question with "It depends." Whether or not an enterprise has transferred risk by contracting with a public cloud provider depends on the provisions in the Service Level Agreement (SLA) that exists between the enterprise and provider. In some cases (maybe most) the SLA simply provides a refund for a portion of the service fee based on the impacted services. This is clearly not a case of transference of risk. The loss of current and new business sustained by the enterprise during the service outage is not indemnified by the cloud provider. In this sense, the enterprise has done nothing more than transfer the management of their risks to a third party.
True risk transference can be achieved, but it means that SLAs provide both service fee refunds and business loss indemnification. During a service outage, an enterprise's risk is not the fee they are paying for the service but instead the impact on current and future profits. There must be stipulations in the SLAs to address these losses for risk transfer to have taken place.
The differences between transferring risk and risk management may seem obvious, but it does serve to underscore the importance of SLAs in the cloud computing world. Enterprises need to fully understand these SLAs in order to accurately assess the benefits of using a cloud proider. SLAs are poised to be critical in the cloud computing world, and I'm interested to see how they will help shape the competitive landscape of the industry.
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!