As fast as the Impact conference arrived is about as fast as it is disappearing in our collective rearview mirror. It seems like a blur. In a word, the conference was... exhausting! In other words, it was informative, exciting, and illuminating. I hope that many of you had a chance to make it out there, and I hope more of you make it to Impact in 2013.
For those of you familiar with the conference, you know that it is typically a launching ground for new product versions and altogether new products. This year was certainly no different with the launch of the new version of WebSphere Application Server (8.5), the new and improved IBM Business Process Manager and IBM Operational Decision Manager, a new version of WebSphere eXtreme Scale (8.5), and numerous updates across the messaging and connectivity stack. While I encourage you to follow up on all of these important announcements, they are not what I am going to focus on today. Instead, I am going to focus on the new addition to the IBM family that got plenty of attention this year: IBM PureApplication System.
Joe recently touched on this new offering, so I won't get into an exhaustive overview. To put it briefly, IBM PureApplication System is an expert integrated system. What does that mean? First and foremost it means that it is a system -- a whole. It is an integrated platform of hardware and software, optimized and tuned for running transactional web and database workloads. I do not mean that it is a system of software that we pre-install on off-the-shelf hardware. Rather, it is the result of hardware and software engineers across IBM working together to build a system that is expert at what it does. More than just the web application and database software though, IBM PureApplication System also contains pre-installed and pre-configured management software that delivers a soup to nuts (hardware to application) single pane of glass for managing the entire system. I could go on and on, but again that's not my purpose here. I encourage you to check out the new IBM PureSystems web page for more information and some pretty cool videos.
For those of you that take a look at IBM PureApplication System you will quickly find that the notion of pattern-based deployments (something I have talked about at length on this blog) plays a key role in the new system. In fact, the same virtual system and virtual application pattern constructs that you have come to know in IBM Workload Deployer are front and center in IBM PureApplication System as well. In the new system, you can build custom virtual system and virtual application patterns, deploy them to your cloud, and then manage them over time. If you are familiar with the IBM Workload Deployer user interface, you will likely find yourself immediately familiar with the interface of IBM PureApplication System. Given all of that, if you are like many of the users I talked to at Impact and since, you probably have some questions as to IBM Workload Deployer and this new system. Most commonly, I get these two questions: "What does this mean for the IBM Workload Deployer product?" and "How do I know when to use IBM PureApplication System versus IBM Workload Deployer?" Let me do my best to address those questions.
In terms of the impact of the IBM PureApplication System on the IBM Workload Deployer offering, I can only view it in one way: affirmation. As I said above, IBM PureApplication System puts the mode of pattern-based deployments front and center, and further affirms that this kind of approach is crucial to the evolution of application delivery and management. Those of you familiar with IBM Workload Deployer or its predecessor WebSphere CloudBurst know that we have been talking about patterns for years. Rest assured we will continue to talk about patterns and solutions for building, deploying, and managing them. As it stands, we have at least three ways for you to build, deploy, and manage patterns: IBM SmartCloud Application Services, IBM Workload Deployer, and IBM PureApplication System. As you can see, options for consuming patterns have only increased since the initial launch of WebSphere CloudBurst. Furthermore, if you were at Impact, you know that we have a vibrant and vocal community of IBM Workload Deployer users, and I hope to see that community continue to grow! As I see it, the core technology of IBM Workload Deployer is becoming our 'operating system' for cloud platform management.
The question of when to use IBM Workload Deployer or when to use IBM PureApplication System is one whose answer is a bit more nuanced and not something one can or should try to definitively answer in a blog post. One thing I do suggest though is that when evaluating these two technologies, it is important to acknowledge that they have different business value propositions. Sure they share common core technology in terms of building, deploying, and managing pattern-based environments, but beyond that they diverge a bit. Remember, IBM PureApplication System is, well a system. It is the hardware, software, and management technology you need to run your middleware application workloads. It is pre-built and pre-integrated to the point that it only requires you to roll it into your datacenter, hook it up to your network, and do some one time configuration. The aim for the duration between receipt of the system to up and running with your first deployment is four hours, and if you were at Impact you saw an amusing video with the chief architect (Jason McGee) that proves this claim.
IBM Workload Deployer is fundamentally different in terms of how you consume it and how it integrates with your infrastructure. Most notably, IBM Workload Deployer does not include optimized hardware (servers, storage, networking) for running your workloads or a single point of management for everything from hardware to applications. To use IBM Workload Deployer you attach it to your network and point it at existing virtualized servers. Simply put, IBM Workload Deployer assumes you have existing, under-utilized hardware that you can get more out of with the intelligent deployment and management approach the appliance delivers. While you do not get the pre-integrated and optimized system of hardware plus software, you do get the flexibility to use your existing infrastructure.
As you can see, there are similarities (patterns) and differences (whole system vs. management system), and the result is a pretty different set of value propositions. The key in evaluating these technologies is that you do so with a crisp understanding of your current needs AND your future plans for growth and evolution. I know this kind of advice is a bit generalized, but I hope the differences I discussed above help you to at least understand the capabilities of the two different offerings. As always, if you have any comments or questions, please reply to the post!
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.
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!
When IBM Workload Deployer v3.0 rolled around, the appliance introduced the concept of shared services. These were services that a cloud administrator could launch into the cloud infrastructure defined to IBM Workload Deployer, and use to serve a number of different application deployments. There were, and continue to be, two main shared services: a proxy service and a cache service. The shared proxy service does pretty much what you may guess. It provides request routing capabilities across multiple different instances of multiple different applications, thereby providing a centralized resource that encapsulates this basic need in an application environment. You can probably also guess what the caching service does. It caches things! Specifically, in IBM Workload Deployer v3.0 it provided in-memory caching of HTTP sessions, thus ensuring high availability of data stored in those sessions.
Undoubtedly, the ability to make HTTP session data fault tolerant is extremely critical in any application environment, cloud-based environments included. However, the applicability of a shared cache service is much further reaching, and in IBM Workload Deployer v3.1, we are starting to open this service up to your applications. What does this mean to you? Quite simply it now means that you can access this cache directly from your application code. If you are familiar with WebSphere eXtreme Scale or the DataPower XC10 Caching Appliance, then you know exactly what I mean. You can use the WebSphere eXtreme Scale ObjectGrid API to insert, read, update, and delete entries that exist in the in-memory cache. The underlying cache technology is based on the same code that powers WebSphere eXtreme Scale and DataPower XC10, so you can be sure that your cache is scalable, fault tolerant, responsive, and otherwise able to meet the needs of your application.
As I hope you find to be the case with many IBM Workload Deployer capabilities, this is a superbly simple capability to leverage. When you deploy virtual application patterns based on the IBM Workload Deployer Pattern for Web Applications, the capability is simply there. The underlying runtime that is serving your application is automatically augmented with the capabilities necessary so that your applications can connect to and utilize the deployed caching service. It is also worth pointing out that you can utilize the caching capabilities provided by this shared service for applications and application infrastructure that you deploy via virtual system patterns as well. You can either choose to augment the WebSphere Application Server environment with the XC10 Feature Pack (a deploy-time option for virtual system patterns built on WebSphere Application Server Hypervisor Edition v8), or you can configure WebSphere Application Server as you always would when integrating with a WebSphere eXtreme Scale environment or a DataPower XC10 Appliance.
What's the real benefit to all of this you ask? Well, when you use the shared caching service, you get the benefits of a distributed, in-memory, extremely scalable cache without having to deal with too much setup or administration. You simply tell IBM Workload Deployer how many resources you want to dedicate to your cache, and deploy the shared service. IBM Workload Deployer takes care of the details, including scaling in and out the cache to meet the needs of the system. On top of all of this, there is also an option to configure 'Next to the Cloud' caching. If you currently own DataPower XC10 appliances, you can make those available to virtual application pattern deployments (this was already possible with virtual system patterns) by simply providing details of the location of the appliance collective in question.
Put simply, setting up, administering, and utilizing an object caching service for your applications has never been easier. Check it out and let us know what you think!
In a recent post, Joe Bohn detailed some of the new capabilities and enhancements that come along with the recently delivered IBM Workload Deployer v3.1. To be sure, there are many valuable new features such as PowerVM support for virtual application patterns, the Plugin Developer Kit, WebSphere Application Server Hypervisor Edition v8, and more. Each of these topics probably merit their own post, but today I want to talk about something I did not mention above. Specifically, I want to talk about the announcements regarding the IBM Image Construction and Composition Tool (ICCT) and what that means for IBM Workload Deployer users.
You may have read an earlier post that I wrote about the ICCT, but allow me a brief overview here. In short, the ICCT enables the construction of custom virtual images for use in IBM Workload Deployer. You use the tool to create virtual images, much like IBM Hypervisor Edition images, and then you can use those custom images (containing whatever content you need) to create your own custom virtual system patterns. The key point about the custom images you create with the ICCT is that they are dynamically configurable. That is, the tool helps you to create the images in such a way that you can defer configuration until deploy time rather than burning such configuration directly into an image. For those of you familiar with virtual image creation, you know this type of 'intelligent construction' is a huge step towards keeping image inventory at a reasonable level.
Okay, enough of a general overview for now. Let's talk about the two new items of note regarding IBM Workload Deployer v3.1 and the ICCT. The first thing you should know is that starting in IBM Workload Deployer v3.1, the ICCT is shipped with the appliance. This means that you do not need to go anywhere else in order to get your hands on the tool to start creating your custom images. You simply log into IBM Workload Deployer and click the download link on the appliance's welcome panel (shown in image below).
Getting your hands on the tool is one piece of the puzzle, but using it is quite another. While the ICCT has been available as an alphaWorks project for some time, that also implies that there has never been official support for the tool. That changes starting with IBM Workload Deployer v3.1. The ICCT is now a generally available product from IBM, and that means that it is fully and officially supported as well. Further, the images you create using the tool are also officially supported for use as building blocks of your IBM Workload Deployer virtual system patterns. For many of you who have been using the ICCT for some time, but have been hesitant to expand use because of the lack of a formal support statement, you should now feel free to charge forward!
I hope this helps clear up exactly what the new Image Construction and Composition Tool announcements that were part of IBM Workload Deployer v3.1 actually mean. I cannot wait to hear about how you all are putting the ICCT to use with IBM Workload Deployer. Finally, don't forget to send us any questions, comments, or other feedback that you may have regarding this or any other new feature in IBM Workload Deployer v3.1!
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.
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.
A couple of weeks ago, I dropped by the Intel Developer Forum to present a session and listen in on a few others. As always in these types of shows, I learned quite a bit. Most strikingly though, I was reminded of something that is probably quite obvious to many of you: Consumer interest in cloud computing will not be letting up any time soon.
Based on this, and some of the other things I heard at the show, I decided to catch up with fellow IBMer Marc Haberkorn. Marc is an IBM Product Manager and is responsible for IBM Workload Deployer amongst other things. I asked him about IBM Workload Deployer, the competition, and cloud in general. Check out what Marc had to say below:
Me:IBM Workload Deployer is one among many of a growing wave of cloud management solutions. How do you differentiate the focus and business value of it versus the myriad of other solutions out there?
Marc: To sum it up, we offer a combination of depth and breadth. IWD delivers both workload aware management and general purpose management. Workload aware management differentiates IWD from its competition, as it can deliver more value for the set of products for which it has context. There is a set of actions that workload aware management tools can do that is normally left to the user by general purpose management tools. This list includes configuring a middleware server to know its hostname/IP address, configuring multiple middleware servers to know of one another, arranging clusters, applying maintenance, and handling elasticity. By handling more of these activities in the automated flow, there are fewer chances for manual errors and inconsistencies to enter a managed environment.
That said, without infinite resource or time, it’s impossible to deliver this context-aware management for everything under the sun. As such, in order to allow IWD to deliver differentiated value AND allow it to handle a customer's entire environment, we offer a mix of workload-aware management and general purpose management.
Me:VMware is a good example of a company active in the cloud space, and they seem to keep a consistent pace of new product delivery. What do you think of their product development focus?
Marc: I think VMware has built a very compelling set of capability in the virtualization space. I think the main difference between VMware's suite and IBM Workload Deployer is the perspective from which the environments are managed. VMware puts the administrator in the position of thinking about infrastructure from the ground up. The administrator is thinking about virtual images, hypervisors, and scripts. In IBM Workload Deployer, we think about things from the perspective of the app, because that's ultimately what the business cares about. By providing a declarative model through which an application can be instantiated and managed, we feel we deliver a deeper value proposition to clients, through workload-aware management.
Me:The 'one tool to do it all' approach is a popular, if not hard to achieve goal. What is your advice to users when it comes to choosing between breadth and depth for cloud management solutions?
Marc: The advantages of a "one tool to do it all" are many: less integration, more uniformity, less complexity. As such, customers will always prefer a single tool when possible. This is why IBM Workload Deployer has focused on not only providing differentiated, deeper value for common use cases but also providing a way to handle the "everything else." As such, my advice to users is not to choose between breadth and depth - use IBM Workload Deployer which offers both.
Me:To close, I'm curious to know where you think we are heading in the cloud market. What do you think users will be most readily adopting over the next one to two years? Where does the cloud industry need the most innovation?
Marc: I think most users are currently looking at the broad picture of cloud computing, and have been adopting primarily in the private cloud realm. There are several reasons for this. One reason is that many customers have a large set of hardware resources which amount to sunk cost that needs to be leveraged. Another reason is around data security concerns in off-premises clouds, and still another reason is around the human factor of comfort, which has taken time to develop around off-premise cloud models. However, businesses have become increasingly comfortable with various sources of outsourcing in recent years, especially in mission critical areas involving very sensitive data. Just look at IBM's Strategic Outsourcing business, which handles entire IT operations for many large businesses. I think that trend will (and really, has already begun to) continue in the area of cloud computing, and will lead to more public and ultimately hybrid cloud computing adoption. In order to get to hybrid cloud computing, I see much of the focus and innovation being associated with data security, workload portability (across private and public, in a seamless fashion), and license transferability between private and public. When this space reaches fruition, clients will be able to enjoy true elastic economics in a computing model that allows a mixture of owning and renting compute resources and software licenses.
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!
We've begun to seed this location with all sorts of helpful information on IBM Workload Deployer. Check it out and you will find links to a "getting started" section, articles, demos, redbooks, whitepapers, pointers to various blogs where authors write about private clouds or IBM Workload Deployer (yep, this blog is included), links to product documentation and education assistant, upcoming events, and more included in the wiki. We're still populating this location with content and we're looking for input on how to improve things ... so please provide your feedback and check back often to see how it evolves.
The content provided in the community is open and visible to everyone immediately. However, there is even more value if you create an id (or use your existing developerWorks id) to become a member of the community. Members can participate in the many collaborative elements that the community provides. This includes the ability to open discussions and collaborate on the forum, post blog entries in the IBM Workload Deployer community blog, or even share content that you have created which may be of interest to others.
There is even a specific section in the community focused on the Plugin Developer's Kit that Dustin mentioned in the previous post on extensibility ( see IBM Workload Deployer PDK wiki page ).
So please visit this new IBM Workload Deployer community and send us your feedback so that we can improve and grow this into a valuable resource. Ultimately, we want this to be a place where we can help each other be successful using IBM Workload Deployer. We also want to learn valuable insights from your experiences with IBM Workload Deployer so that we can continue to make improvements and optimizations in the appliance with the goal of improving your private cloud experience, making your business more agile and efficient. As always, please send us your feedback.