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!
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.
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!
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!
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.
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 wanted to take a brief moment to remind you that the Enabling cloud computing with WebSphere campaign is well underway. Check out the various presentations and podcasts on solutions such as WebSphere Virtual Enterprise, WebSphere CloudBurst, Cast Iron Systems, WebSphere DataPower Application Optimization, WebSpan Integration as a Service Cloud, WebSphere Application Server Feature Pack for Dynamic Scripting, and more. All you have to do is navigate to the site, and you can download presentations or listen to audio/video replays at your convenience.
In addition to the podcast sessions, I want to point out a couple of upcoming events. The first is a live Q&A webcast that takes place next Thursday (9/23). Myself and other IBMers will be joining the webcast to answer your questions about cloud computing and WebSphere solutions. You can register to attend the session here, and you can submit questions ahead of time here.
A week after the live Q&A webcast (9/30), there will be an online JAM. Think of this as an online chat between IBMers and you, our users. You can ask questions, give us your feedback and suggestions, or just watch the proceedings. Like with the live Q&A webcast, you can submit questions ahead of time by navigating here.
I hope you are getting a chance to take advantage of some, or all of the campaign. Of course, you do not have to wait for the sessions to ask questions or give feedback. You can always leave a comment here or reach out to me on Twitter (@damrhein). Happy Friday!
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.
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.