There have been quite a few announcements from IBM lately that keep referring to the "IBM Cloud". Since IBM has been moving at a pretty substantial pace with cloud offerings as of late, I thought it may help to give readers a concise idea of exactly what the IBM Cloud provides.
Put very simply, the IBM Cloud is a public cloud offering that allows users to provision and utilize IBM Software on an infrastructure hosted by IBM. From the IBM Cloud's web-based dashboard, users choose a software package, provide some deployment information about the particular instance they wish to create, and then simply click OK. In a matter of minutes the software is up, running, and available for full use. At the time I wrote this blog, I saw software from our Information Management, Rational, and WebSphere brands available for use. In addition, users can launch plain SUSE Linux instances out onto the IBM Cloud.
Within WebSphere, users can choose from either the WebSphere Application Server or WebSphere sMash. I just went through a WebSphere sMash deployment, and in about 6 minutes the sMash instance was up and running, and I was able to log into the App Builder development environment. The WebSphere Application Server package that's available on the IBM Cloud is particularly interesting because it contains an embedded Rational Controller Agent. This makes it very easy to integrate some of the Rational offerings on the IBM Cloud (or elsewhere) with the WebSphere Application Server. Many of these integration scenarios focus on making it easier to very quickly build, package, and deploy applications from Rational development tooling to WebSphere Application Server environments.
The best thing about the IBM Cloud is that you can sign up and give it a whirl with absolutely no costs! Go and sign up for a free account and you'll immediately be able to spin up IBM Software in IBM's cloud. You can access and use that software, and then when you are done you can simply delete the running instance. There's no need to download anything to your computer, the interface to the IBM Cloud is completely web-based, and the launched software runs on IBM infrastructure. All of this adds up to give users a super easy way to kick the tires on some of our software. Sign up now by visiting the landing page for the IBM Cloud.
Dustin and I have been seeingweb sites pop up all over the place with the word 'Cloud' in the name.Everything from web based remote PC services to elastic Web Mail.
I remember in 2000when Business to Business Integration (B2Bi) was the big market buzzword. Every company in the industry was claiming to be "The B2Bicompany". B2Bi was and is not an easy task. Everyone uses and storesdata differently; sometimes even within the same company. So whathappened? Most companies could not deliver products that made the jobeasier in a more generic way and it fell to services based companies.The expense soared and the results were generally poor. XML was justgaining prominence and few "B2Bi companies" ever even heard of EDI (Electronic Data Interchange. It was how businesses shared data before the internet became so capable). Thenet result ended up being that to succeed these providers had to scaleback their claims and muddy the definition of B2Bi. Now you hardly everhear it. The need still exists and the market is robust but the buzzword faded from the lexicon.
Cloud Computing is a powerful concept and the term can encompass many different implementations that achieve Dynamic Infrastructure, On Demand Capacity and Virtualized Enterprises. However, tagging glorified remote desktops and pay-for-GB mail boxes as cloud computing will do nothing but obscure the definition, allow charlatans to deliver poor or incomplete solutions and make it more difficult to convey the value of products and services that support true clouds.
Real cloud providers should be diligent in detailing their services and the value they provide. If the smoke is cleared, the view of the clouds will remain breathtaking.
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!
When I first started to become aware of the cloud computing movement, I remember being intrigued but not all that aware of its possible consequences to me. After all, I was a developer not a systems administrator, so other than professional curiosity why was cloud computing all that important to me? Maybe you are a developer that can see right through my early, naive perception of cloud computing, but maybe you are a developer that, like me in the early going, doesn't quite see why cloud computing should matter to you. In the case of the latter, I've come to realize that there are several reasons why cloud computing matters to the developer. Let me try to sum up a few of those reasons for you here.
Reason #1: Developer services can be delivered via the cloudThere are many different types of services that can be realized from a cloud (public, private, or hybrid) that could have a large impact on the way developers work. As I mention in a previous post, IBM announced a Tools as a Service initiative in which IDEs are made available within a public cloud. IDEs in the cloud give developers a single development environment that can be accessed from any machine at any time. Better yet, we don't have to worry with installing and maintaining the environment. In addition to IDEs in the cloud, with the increased focus on virtualization and virtualization management that cloud is bringing, the ability to rapidly procure and instantiate runtime environments should become standard practice. This means that new ideas and new product code can be rapidly prototyped and tested. No longer should a proof of concept be delayed because it couldn't be proven in a runtime environment.
Reason #2: Cloud computing means a world of new products and offeringsAs a developer, it is a continuous battle to keep up with constantly emerging technologies, but it is imperative that we do so in order to ensure we take full advantage of available solutions. Cloud computing providers introduce a whole new world of service offerings for consumption by application developers. Cloud providers are offering new storage solutions, new database implementations, new content distribution mechanisms, new application integration capabilities, etc. As developers who may potentially be writing applications that run in the cloud, these new offerings directly affect the code we write. We need to educate ourselves about these new services, and we should understand when these solutions can be best leveraged to deliver our end product.
Reason #3: SOA becomes more importantOkay, so maybe this is not aimed squarely at the developer, but I know many times a developer wears the hat of architect as well... even if they don't know it! In a cloud computing world, the applications and services we deploy to the cloud should align and fit into our SOA. This is critical if we are to fully exploit the benefits of ubiquity offered by the cloud. Cloud computing inherently provides the ability to access services from any machine with a network connection, automatically giving the kind of service ubiquity sought by many companies. By developing these services in a SOA-compliant manner, we extend the reach by making it more readily consumable by other application components. We move beyond pure end-user applications and services, and in doing so new or increased revenue streams may be realized for the service.
These are just a few of the ways I see cloud computing currently affecting the developer's role. There are a myriad of reasons that developers should be cognizant of cloud computing, and I expect the list of reasons to boom as cloud computing continues to advance. I'd also like to hear what you think about cloud computing and the developer, so post a comment below if you would like to join the discussion.
One of the new features that debuted in WebSphere CloudBurst 1.1 is the ability to resize the disks in a virtual image during the extend and capture (image customization) process. If you remember, the virtual images that exist in the WebSphere CloudBurst catalog are made of multiple virtual disks. In WebSphere CloudBurst 1.0 a default size was used for the virtual disks and this could not be changed, even during the image extension process. To be quite honest we got quite a bit of feedback about this, and so with version 1.1 while default sizes are still provided, you can specify the eventual size of each of the virtual disks during the image extension process.
As an example, consider the WebSphere Application Server Hypervisor Edition virtual image. This image contains four virtual disks: one for the WebSphere Application Server binaries, one for the WebSphere Application Server profiles, one for the IBM HTTP Server, and one for the operating system. The default size of each of these disks in the 126.96.36.199 version of the image is 6GB, 2GB, 1GB, and 12GB respectively, for a total of roughly 21GB. While that may be fine for some, what happens if you are going to be installing various other third-party software packages in the image? You may need more disk space for the operating system's virtual disk. Perhaps your WebSphere applications produce log files of considerable size. In that case you may want to increase the default size of the WebSphere Application Server profiles disk space.
Those scenarios and more are exactly why the resizing capability was added. When you extend the WebSphere Application Server Hypervisor Edition 188.8.131.52 virtual image in WebSphere CloudBurst 1.1, you will be presented the option to resize one or more of the virtual disks:
In the case above the default operating system disk size is bumped up to 16GB from the default 12GB size. Also note that in addition to changing the disk size, you can specify the number of network interfaces for your custom image.
Obviously, when you increase the size of the disks within the virtual image you are also increasing the storage requirements for that image when it is deployed to a hypervisor. Keep this in mind when you are calculating the upper bound capacity of your cloud. If you want to see more about how this feature works, check out this video.
I want to clear something up about WebSphere CloudBurst that can sometimes cause a bit of confusion. In nearly all of our content about the appliance, we talk about it in the context of building private clouds consisting of WebSphere application environments. Typically people think of private clouds as something only those within their organization can access and utilize. However, with WebSphere CloudBurst you are not limited to creating that kind of a private cloud.
Perhaps it is more fitting that we talk about WebSphere CloudBurst as a means to create on-premise clouds. After all, that's really what we mean. You create a shared pool of hardware and network resources owned by your organization, and then you define this cloud of resources to WebSphere CloudBurst. Once that cloud is defined, you can leverage WebSphere CloudBurst to dispense your WebSphere application environments into that cloud. The accessibility of your application environments running in that cloud is entirely up to you.
You may decide that the cloud is indeed private and that only those in your organization or a smaller subset of users can access the environments. On the other hand, you may decide that you want to allow consumers in the public domain to request WebSphere application environments and then have WebSphere CloudBurst provision those environments into a public cloud. I say public here because while the cloud's resources are on your premise, access to that cloud is not restricted to within the organizational firewall. Ultimately, the determining factor for whether or not your WebSphere CloudBurst cloud is public or private is the network configuration you provide. If the virtual machines are associated with network resources that are publicly accessible, then I would say you have a public cloud.
I hope this entry didn't serve to only add to the confusion. The bottom line is this: WebSphere CloudBurst allows you to create, deploy, and maintain virtualized WebSphere environments in an on-premise cloud. Whether that cloud is public or private is entirely up to the network configuration that you setup.
Users of cloud computing solutions today expect to be charged for exactly the amount of compute resource they use. No more, no less. This expectation is often at the forefront of our customers' minds when contemplating the creation of internal or private clouds. They want to be sure that any solution they use audits the activity and usage of their cloud and enables them to consume this information to implement their specific chargeback scheme.
Thought it's not a feature we always seem to talk about, WebSphere CloudBurst provides the necessary capabilities to properly allocate costs to users, teams, and organizations. To start with there are some handy usage reports that you can view directly from the WebSphere CloudBurst console. For instance, as seen below, a WebSphere CloudBurst administrator can see a break down of cloud resource usage for each user of the appliance.
While the capability illustrated above is nice, it is likely that if you are implementing an enterprise-scale chargeback scheme you want to automate the processing of the usage data, thus implying the need to programatically consume such data. WebSphere CloudBurst enables you to do just this by way of its audit log. The WebSphere CloudBurst audit log is a record of each and every action taken in the appliance, along with information about who took the action, when the action was taken, what object the action was taken on, and much more. You can instruct the appliance to generate this file for a specified date range, and the output is a comma separated value file that can then be consumed in a manner of your choosing.
As an example of some of the things you can do with this data, I recently wrote a Java program that parsed the audit file and for each virtual system determined who created it, who deleted it (if it had been removed), and the duration of its existence. This program was simple (more of a string parsing exercise than anything else), but nonetheless provided necessary function and output for billing schemes based on hours of usage. If you are interested in how this was done please let me know and I'd be happy to discuss details. In the meantime, if you have any thoughts you can reach me on Twitter via @WebSphereClouds.
It's been a busy few weeks full of customer visits ranging from the east coast to the west coast. Other than an extremely off kilter body clock, the trips have been great. It is so exciting to see the high level of interest in the newest release of WebSphere CloudBurst, version 2.0.
On the topic of WebSphere CloudBurst 2.0, I want to make sure our IBM Business Partners (and my IBM colleagues) are aware of a couple of upcoming Tech Talks. These Tech Talks are given by the IBM labs and provide an early look into some of our newest offerings. On the Tech Talk docket this month are WebSphere CloudBurst 2.0 and the new WebSphere DataPower XC10 Appliance. Business partners can sign up for the WebSphere CloudBurst talk here, and the WebSphere DataPower XC10 Appliance here (IBMers get in touch with me for the links).
I feel pretty certain that if you are reading this, you probably are pretty familiar with WebSphere CloudBurst, but maybe not as much so with WebSphere DataPower XC10. This is a new offering from IBM that provides in-memory data caching capabilities (similar to those of WebSphere eXtreme Scale) in the form factor of an appliance. Data grids and caches are really a hot wave in application design and development, and chances are if you are developing applications for distributed systems today, you could benefit from the use of in-memory data caching. Check out the Tech Talk for more information.
While these Tech Talks are restricted for IBM Business Partners and IBMers, I'm always available if you have any questions about WebSphere CloudBurst, WebSphere DataPower XC10, or any of our WebSphere offerings. I'll do my best to answer your questions or put you in touch with the right IBMers in the lab. Feel free to reach out and get in touch at any time.
One of my favorite books from childhood is If You Give a Mouse a Cookie. Although targeted at children, the book illustrates a frequently occurring human behavior that is important for all of us understand. That behavior is the tendency for escalating expectations. The book offers this up by starting out with the simple action of giving a mouse a cookie. The mouse in turn asks for a glass of milk, various flavors of cookies, and on and on, until the mouse circles back to asking for another cookie.
Nearly all of us exhibit this same kind of behavior, and it can often produce positive results. In particular, in IT we always push for the next best thing or a slightly better outcome. Personally, I am no stranger to this behavior because I experience it from WebSphere CloudBurst users quite frequently. In these cases, it usually revolves around one particular outcome: speed of deployment.
Bar none, users of WebSphere CloudBurst are experiencing unprecedented deployment times for the environments they dispense through the appliance. The fact that we say you can deploy meaningful enterprise application environments in a matter of minutes is far beyond just marketing literature. Our users prove it everyday. However, just because they are deploying things faster than ever does not mean they are content to rest on those achievements. They want to push the envelope, and I love it.
For our users looking to achieve even speedier deployment times, I offer up one reminder and one tip. First, analyze all of your script packages to ensure you are using the right means of customization. If you have some scripts that run for considerably longer than most other script packages, you may want to at least consider applying that customization by creating a custom image. You still need to adhere to the customization principles outlined here, but you may benefit from applying the customization in an image once and avoiding the penalty for applying it during every deployment. You may also be able to break this customization out with a combination of a custom image and script packages. For instance, instead of having a script that installs and configures monitoring agents, you may install the agents in a custom image and configure them during deployment. Being selective about how and when you apply customizations can go a long way in improving your deployment times.
In addition to the reminder above, I also have a tip. Take a look at all of the script packages you use in pattern deployments and look to see if there are any that you can apply in an asynchronous manner. In other words, identify customizations that need to start, but not necessarily complete as part of the deployment process. Going back to our example of configuring monitoring agents during the deployment process, it may be important to kick off the configuration script during deployment, but is it crucial to wait on the results? Maybe not. If it is not, consider defining the executable argument in your script package in a manner that kicks off the execution and proceeds -- i.e. nohup executable command &. This approach can save deployment time in certain situations.
My advice to users of WebSphere CloudBurst: keep pushing your deployment process! Pare as many minutes off the process as you can. I hope that the tips above help in that regard, and be sure to pass along other techniques that you have found helpful.
Many enterprise IT decision makers are probably currently, or will be shortly, contemplating some type of cloud computing solution that promises to deliver benefits to their operation. After all, cloud computing solutions, when utilized prudently, are hard to resist. As these decision makers prepare to weigh the pros and cons of such solutions, there is one consideration that is perhaps more important than all others: Will this solution enable elasticity among my services and applications?
Hopefully the answer to the above question is a confident 'Yes'. A lot of discussion is given to providing virtualized, dynamically scaled resources such as servers, processors, operating systems, etc. and rightfully so. By optimizing the usage and consumption of these infrastructure resources, IT operations can be significantly enhanced. However, these resources are often times just a mean to an end, that end being service delivery. IT provides services and applications to end-users that are critical in terms of revenue generation or optimal business activity. These are the resources that most need elastic capabilites to ensure that end-users are continually provided responsive service. Cloud computing solutions need to address this capability by providing the means to package services in manageable units and deliver the ability to govern the scale of these units in an autonomic fashion.
Note, that in the question above I used the word enable. This was deliberate since it is hard to comprehend how any cloud computing solution could provide "out-of-the-box" service elasticity. The implementation of a SOA architecture becomes a necessary partner to achieving true service elasticity. Services must be developed in such a way that they are loosely coupled from other services and required components such as databases. Otherwise, the ability of one service to dynamically scale may be implicitly connected to another service's ability to achieve such elasticity. In this type of intertwined architecture, maximum elasticity will never be achieved.
What do you think about the current cloud landscape? Is there enough focus on service elasticity, and is service elasticity even the most valuable aspect of cloud computing? Leave a comment below, or reply to us on Twitter @WebSphereClouds.
Jason McGee will be leading the second GWC Lab Chat this week on Wednesday, 4/20. The very timely topic is related to recent announcements from IBM regarding the IBM Workload Deployer (see previous posts). Entitled "Application-Centric Cloud Computing" the discussion will focus on the concept of deploying and managing your application workloads in a shared, self-managed environment rather than manually creating and managing the application middleware topologies. It places the focus on the application rather than the infrastructure. This concept promises to deliver greater simplicity, elasticity, and
density among other things. It can position your business to react more
quickly and efficiently to the increasing demands of your customers and
free you from the managing all of the details.
Many of you may have already heard Jason speak last week at IMPACT 2011 in the cloud mini main tent or perhaps at any number of other sessions that Jason was involved in. Jason is the key architect behind IBM's WebSphere cloud activities. Obviously, Jason understands the cloud space very well and has a clear view of the evolution into Application-Centric Cloud Computing. This GWC Lab Chat will provide the opportunity to get your questions answered and share your perspective on this technology.
Jason will provide a brief introduction to the concepts and ideas and then lead an open discussion. Put it on your calendar and plan to attend - and please plan to bring your questions and comments to help foster a rich discussion. We want to hear from you.
If you haven't registered yet it is not too late - learn more and register here. It is easy to register and there is no cost. This is a very timely event and a great way to dig a little more deeply into concepts you first heard at IMPACT or perhaps hear them for the first time. Don't miss it!
One of the key benefits of WebSphere CloudBurst adoption is rapid -- seriously fast -- deployments of middleware application environments. Our users are leveraging the appliance to bring up enterprise-class middleware environments in mere minutes. If you know a little bit about WebSphere CloudBurst, that statistic may be a little surprising considering the appliance dispenses large virtual images from the appliance over the network to a farm of hypervisors. You may ask how the appliance can achieve such rapid deployments in light of the mere physics involved in transferring large amounts of data over a network. The simple answer is caching of course!
WebSphere CloudBurst creates a cache for each unique virtual image on datastores associated with the hypervisors in your cloud. On subsequent deployments of the same virtual image to the same datastore, WebSphere CloudBurst does not need to transfer the image over the wire. It simply uses the virtual disks that are in the cache on the datastore. In the context of the virtual image cache, the deployment process goes something like this:
WebSphere CloudBurst identifies the images necessary to deploy the pattern selected by the user.
WebSphere CloudBurst identifies the hypervisors and associated datastores that will host the virtual machines created during deployment.
WebSphere CloudBurst checks the selected datastores to see if they already have caches for the images it will be deploying. From here, one of two things happens:
WebSphere CloudBurst detects that there is no cache on the datastore and transfers the images over to the hypervisor, thereby creating the cache on the underlying datastore.
WebSphere CloudBurst detects that there is a cache on the selected datastore and uses that cache in lieu of transferring the disk over the wire.
The process may sound complicated, but it is completely hidden from you, the user. You do not need to know how the cache works since WebSphere CloudBurst handles all of these interactions. So, why am I telling you all of this then? As a WebSphere CloudBurst user, it is good to be aware of the cache for two main reasons. First, you need to account for the storage space the cache needs when doing capacity planning for your WebSphere CloudBurst cloud. Second, anytime you upload or create a new image through extend and capture, I would strongly suggest you automatically prime the cache for this new image. You can do this by simply deploying a pattern built on the image to each unique hypervisor/datastore in your environment. This may take a temporary re-arrangement of cloud groups, but it is a simple process, and it guarantees rapid deployments for all users of the new image.
I hope this sheds a little light on a subject we do not discuss too often. As always, if you have any questions, do not hesitate to let me know!
Clouds form known patterns of shape, consistency and color. These patterns have formal names too: cumulus, stratus, nimbus, etc. But there are also the patterns that are only in the eyes of the imaginative: a dragon, or a face, or Aunt Betty being chased by a fire-breathing turtle.
Cloud computing implementations are composed of common elements such as network servers, enterprise software, routers, etc. There will be common configurations, however, the power of the cloud comes from the idea that capacity, software, storage, etc. are delivered on demand as a service. So despite the fixed configuration that is really the connected inventory, the shapes of clouds are indeed malleable. So what shapes will we see in these clouds?
One of the most widely used examples of a cloud benefit is the greeting card company that has flat business through the year except for specific holiday peaks. The cloud allows that company to expand their capacity for those peaks only, saving them money. In this example, the cloud is hosted by a third party provider.
But what about that nebulous provider? Such a company will still have to manage capacity and other IT services for all its customers. It has the same issues that any IT shop would have. Finite resources that have to handle all the demand. The cloud principle allows it to provision resource as it is needed, but then this provider will only be able to handle so many customers that have peak business around the various holidays other wise there is no gain. In fact I think that these providers will have to plan which kinds of business they can host to maximize their 'face' time.
Though I feel like we've come a long way in some of the initial confusion surrounding IBM CloudBurst and WebSphere CloudBurst, I still get quite a few basic questions on the solutions. The two most common questions are, 'Are they different products?', and 'Can/should I use them together?'. I put together a really brief overview that answers these questions and talks about the basics of the combined solution. I hope it provides a good introduction!
I recently read the Open Cloud Standards incubator charter proposed by the Distributed Management Task Force (DMTF), and I think this is a great effort to propel the cloud computing effort forward (read the charter here). In the interest of disclosure, I’m not just saying this because I happen to be employed by one of the supporters of the movement. It’s time to acknowledge that open standards are not an inhibitor to innovation, but instead they facilitate the kind of technological adoption that makes innovation both possible and profitable.
The incubator charter sets its eyes on standards around cloud resource management. Its main focus will concern the management of cloud computing elements that make up the Infrastructure as a Service (IaaS) layer, but it will also discuss some elements of the Platform as a Service (PaaS) layer. The charter lists among its deliverables a cloud taxonomy, cloud interoperability white paper, informational specifications, and security requirements for cloud resource management. The hope is that such standards would increase cloud interoperability, mitigate the potential for vendor lock-in, and guide companies who already deliver resource management products and are looking to extend such capabilities to cloud resource management.
In particular, there are a couple of deliverables that sound interesting. The first, a cloud taxonomy including terms and definitions, is a necessary step to move forward any cloud computing standardization efforts. There is too much disagreement among the cloud industry at large as to exactly what defines and makes up cloud computing. While healthy discussion and debate on this subject are good, it is time to agree on a standard definition that all can at least accept. Without a common, acceptable definition, standards movements will be crippled since it’s hard to govern something we cannot define.
The charter also proposes information specifications that would define profiles for the management of resources within a cloud computing environment. If these types of management standards were produced and subsequently adopted by a multitude of cloud providers, consumers could define a common cloud interaction layer and freely switch in and out the provider. In addition to these new specifications, updates to existing standards in DMTF are among the deliverables. The existing specification that is explicitly called out in the charter is the OVF packaging standard. I can only hope this means a standard packaging for virtual images deployed in a cloud environment. If that is indeed the goal, by combining a common cloud management mechanism with a common cloud packaging strategy, consumers would be provided the ultimate choice among cloud providers. They could package and deploy services meant to run in the cloud in such a way that the task would be repeatable across any cloud provider adopting the DMTF’s standards. In addition, the mention of updating existing specifications sends a clear message that cloud computing standardization efforts must not duplicate existing standards work. Instead, new specifications are introduced where necessary, and existing specifications are updated to accommodate this new computing paradigm.
I’m excited about the incubator charter announced by DMTF. I’m sure this is just the beginning in what will be a long journey of providing for an open cloud, but it is a necessary first step. I for one don’t buy the argument that open standards stifle innovation. Instead, I believe open standards increase technological adoption, and more consumers mean more opportunities, and demand, to distinguish offerings by creative innovation. What do you think about cloud computing standards? Let us know below, or send us an email.
Many technologies and ideas are paving the way for cloud computing. Utility computing, grid computing, and virtualization have all played important roles in enabling cloud solutions to take hold. In some ways, SOA is an easy to overlook player in the cloud computing world. However, there's no doubt that without SOA, and the ideas from the SOA movement, cloud computing would not be where it is now.
First, consider the millions of services available in the application services layer of the public cloud. While some of these services are intended to be consumed by an end-user, just as many are meant to be consumed programmatically. Enterprises seek to compose services in the application services layer to deliver larger, end-user applications to their consumers. As such, the ability to consume services that exist across domains and company firewalls is a must. SOA standards help in this respect as they define how services, regardless of location, are discovered, consumed, and governed. This common set of standards has helped to make the services in a public cloud more readily useable by enterprises, so SOA standards have been a key factor in the explosion of service offerings in the public cloud.
Second, and just as important, is the impact that SOA has and will continue to have on the enabling layers of cloud computing. By the enabling layers of the cloud, I mean the platform and infrastructure services layer where we find both application and physical infrastructure. These two layers in the cloud are often referred to as constituting a Service Oriented Infrastructure, so the impact of SOA is immediately obvious. SOA has led to viewing application and physical infrastructure capabilities as discrete services that can be consumed as part of an overall solution or process. As the number of services in these two layers continues to grow, it will be important that they can be discovered, managed, and governed similar to software service components so as to enable robust, composable cloud infrastructure solutions. By applying the principles and lessons of SOA to these enabling services, we can achieve a discoverable, composable, and governable cloud infrastructure.
SOA should be acknowledged as a key enabler to cloud computing solutions. There are of course reasons beyond what is mentioned above. For instance, think about application virtualization and how effective management of such virtualization requires the capability to interact with applications implemented in various technologies. SOA standards have established how to interact and communicate with applications regardless of implementation, so virtualization management can and should piggyback on these standards. As cloud computing continues to evolve, I think we will only see more instances of SOA affecting cloud computing for the better.
WebSphere configuration management practices are common items of conversation that comes up when I am talking with users about IBM Workload Deployer (formerly WebSphere CloudBurst). This conversation can take on so many different avenues that it is hard to capture all of them in a short blog post. So, for the sake of this post, let's consider two facets of WebSphere configuration management. The first facet is addressing the need to consistently arrive at the same configuration across multiple deployments of a given WebSphere environment. The second facet involves managing the configuration of a deployed environment over time to protect against living drift. What is the best way to tackle these two challenges? Well, it comes down to picking the right tool for the job.
When it comes to ensuring consistency of initial WebSphere configuration from deployment to deployment, there is really no better means than patterns-based deployments enabled by IBM Workload Deployer. Whether you are using a virtual system or virtual application pattern, the bottom line is that you are representing your middleware application environments as a single, directly deployable unit. When you need to stand that environment up, you simply deploy the pattern. The deployment encapsulates the installation, configuration, and integration of the environment, and your applications if you so choose. The benefit of this approach is that once you get your pattern nailed down, you can be extremely confident that the initial configuration of your environments is extremely consistent from deploy to deploy. Basically, no more bad deployments because someone forgot to run configuration step 33 out of 100!
Because we talk about the benefits of consistency provided by our IBM Workload Deployer patterns, users often ask what IBM Workload Deployer does in terms of configuration governance for deployed environments. In other words, they ask how IBM Workload Deployer helps them to track configuration changes or compare the configuration of a deployed environment to a known good one. The honest answer is that this is a bit beyond the functional domain of the appliance. While IBM Workload Deployer does allow you to manage the deployed environment (apply fixes, update deployed applications, snapshot, etc.), it does not layer some of the common configuration governance concerns on top of that. However, there is a good reason why the appliance does not focus on that. It's because Rational Automation Framework for WebSphere does!
If you find yourself wanting to actively track configuration changes, periodically (and automatically at specified intervals) compare configuration changes to a 'golden' baseline, import configurations of a known good environment, apply common configuration across a number of cells, then the capabilities of RAFW would likely be of interest to you. It can do all this and give you an incredible toolbox of out-of-the-box application deployment and configuration capabilities for WebSphere environments. In my mind, for those that spend a good deal of time dealing with WebSphere configuration, whether it be deploying applications, configuring containers, or debugging inadvertent changes, an examination of RAFW functionality is a must.
Now it is time for a bit of disclaimer/clarification. I am not suggesting that you pick one or the other when it comes to IBM Workload Deployer and RAFW. In fact, there are many scenarios where 1+1=3 with these two solutions, and I have written about it many, many times (including this article). That said, I think it is important to highlight the relative strengths of each product, so that it is easier to map it back to your pain points. In honesty, many of the users I talk with have challenges in getting the initial configuration right AND managing it over time. That kind of problem beckons for the integrated IBM Workload Deployer/RAFW solution.
Of course, technology only gets you so far when it comes to these kinds of problems. It would be disingenuous of me to suggest otherwise. It has always been and will continue to be important to establish clear and rigorous processes around the way you deploy, manage, and change environments. This just gives you an idea of some of the tools you can leverage to aid in the implementation of those processes.
The recently announced IBM WebSphere CloudBurst Appliance is creating a fair amount of stir in the cloud computing market. Its ability to create, deploy, and administer private WebSphere cloud environments gives customers the ability to create and manage a services oriented cloud. To provide a more in-depth look at what the appliance delivers, I’d like to take a short look at the creation, deployment, and administration capabilities to understand what each one means to the user.
To get started, in order to leverage WebSphere environments in a private cloud, you need to construct WebSphere configurations optimized for such a virtual environment. Using WebSphere CloudBurst you can do just that. WebSphere CloudBurst ships a virtual image packaging of the WebSphere Application Server called WebSphere Application Server Hypervisor Edition. From this new virtual image offering, complete WebSphere Application Server topologies can be constructed to create what WebSphere CloudBurst terms a pattern. These patterns are representations of fully functional WebSphere Application Server environments. For example, using WebSphere components in the WebSphere Application Sever Hypervisor Edition, you can create a cluster environment that includes a WebSphere Deployment Manager, two customs nodes, and the IBM HTTP Server.
In order to create these patterns, WebSphere CloudBurst provides a drag-and-drop interface that allows users to select WebSphere components from the new virtual image and drop them onto a canvas that visually represents the WebSphere configuration. In addition to adding WebSphere components, users can also drag and drop script packages onto the components within a pattern. These script packages allow users to provide scripts and other artifacts that further customize the WebSphere Application Server environment once it has been deployed in the cloud. These script packages can do just about anything, from tuning WebSphere security settings to installing applications in the newly created environment.
Building the virtualized WebSphere Application Server environment, or pattern, is only part of the process. Once the pattern is built, it is ready to be deployed to the cloud. WebSphere CloudBurst operates on a ‘bring your own cloud’ model, so the cloud resources are defined to the appliance. These cloud resources consist of a set of supported hypervisors and a list of IP addresses available to the cloud. Once these resources are defined, WebSphere CloudBurst has all the information it needs for deployment. On deployment of a pattern, WebSphere CloudBurst determines the state of the available resources, and places the pattern across the available hypervisors accordingly. It places the WebSphere instance to ensure efficient use of resource, high performance, and high availability. In addition to placing the pattern instance onto the hypervisors, WebSphere CloudBurst selects and assigns an IP address to each WebSphere component in the configuration. Both the placement and IP address assignment are done with no user input or intervention. The result of the pattern deployment is a fully instantiated WebSphere environment that can be accessed and used like any other such environment. It is important to note that the WebSphere environments do not run on the WebSphere CloudBurst Appliance, and in fact the appliance plays no role in the runtime of the environments.
While it is true that the WebSphere CloudBurst Appliance is not involved in the runtime of the patterns that it deploys, it does provide users the capability to monitor and administer these environments. From the WebSphere CloudBurst console, each of the WebSphere virtual systems can be viewed to understand network configuration, memory consumption, and CPU usage. Usage of cloud resources (i.e. memory, CPU, IPs) is also tracked at a user or user group level allowing WebSphere CloudBurst to support chargeback across an enterprise. In addition to these monitoring capabilities, maintenance features are part of the appliance’s administration story. WebSphere CloudBurst provides users with a central administration point for applying maintenance, such as iFixes and service packs, to the WebSphere virtual systems it created. These fixes can be applied within the WebSphere CloudBurst console with only a few mouse clicks providing an unprecedented ease of maintenance application.
The above is only a glimpse at the capabilities of the new IBM WebSphere CloudBurst Appliance. Look for more information about this offering at ibm.com/cloudburst, and stay tuned to our blog, twitter account (@WebSphereClouds), and websiteas we continue to deliver insight into WebSphere CloudBurst.
IMPACT means new product announcements, and I'm particularly excited to point out the announcement for WebSphere CloudBurst 2.0. The new release features multi-image product support, support for Red Hat on VMware ESX, the new WebSphere Process Server Hypervisor Edition and much more.
You can get all the details in my blog post here, and you can watch an overview demo here. Don't hesitate to send me any comments or questions here or on Twitter @damrhein.
If you've attended one of our WebSphere CloudBurst sessions then you've undoubtedly heard us talk about the "special sauce" or "WebSphere intelligence" delivered by the WebSphere CloudBurst Appliance. If you haven't attended one of our sessions, trust me, we talk about it a lot, but there's good reason. This "special sauce" truly sets WebSphere CloudBurst apart from other virtualization management tools.
Essential to the uniqueness of the WebSphere CloudBurst solution is the WebSphere Application Server Hypervisor Edition virtual image that it dispenses. In one sense, the intelligence comes in the format of pre-installed, tuned, and configured software. The operating system and WebSphere components are all pre-installed, and the WebSphere Application Server configuration is tuned based on best performance practices. In addition, the image comes with a pre-configured instance of each WebSphere Application Server profile type that is available in the version that is bundled. This saves time during deployment since the unneeded profiles are simply removed.
The pre-installed, tuned, configured software only sets the foundation for what truly sets apart the WebSphere CloudBurst solution. The activation framework built inside of the WebSphere Application Server Hypervisor Edition allows WebSphere CloudBurst to deliver unique value. This activation framework allows the single virtual image to turn into many different flavors of WebSphere Application Server (Dmgrs, Standalone nodes, Custom nodes, Job Managers, etc), and it provides the facilities to change WebSphere cell and node names, IP addresses, host names, and more while a running virtual machine instance is being created.
On a mostly unrelated topic, the changing of WebSphere cell names, node names, host names, is done with documented, publicly available commands in either wsadmin or other WebSphere Application Server binaries. I know many customers want to do this exact same thing in their existing environments, so if you are wondering how it is done, drop me a line below.
Anyway, I won't get into anymore detail here because you can get a much better assessment of this special sauce elsewhere. Ruth Willenborg, one of the lead architects for the WebSphere CloudBurst Appliance, did a developerWorks Comment lines piece about this special sauce. Ruth provides a deeper look at the topics I hit on above, and it's a really good read. You can check it out for yourself here.
Over the last three posts I've been discussing a few of the most frequently asked questions regarding the WebSphere CloudBurst Appliance. I'd like to wrap up today with a fourth and final installment.
If you have read some of my entries before, or if you have read any of our WebSphere CloudBurst articles on IBM's developerWorks, then you know that the appliance brings extreme simplification and safety to applying fixes and service level upgrades to running WebSphere Application Server virtual systems. Users select a virtual system, choose a fix or service level upgrade, and then WebSphere CloudBurst drives the application of the fix or upgrade to the system. Before applying the fix or upgrade, the appliance takes a snapshot of the virtual system, and users can simply click a button to roll back to the previous state if the process produces undesired results.
This is a pretty strong value add to WebSphere Application Server management and one that our users typically immediately understand. Almost always though, after users see this they are curious about another aspect of rolling out fixes and upgrades in WebSphere CloudBurst. In particular, they want to know how they ensure that all subsequent deployments (after applying the fix to a specific virtual system) can be ensured of having the correct fixes and service levels.
The answer to this inquiry is that there are a couple of different ways to achieve this, and it depends on what you are try to accomplish and your preferences. For instance, if you want to make sure all of your subsequent deployments have a particular interim fix, you will likely go the route of image extension. First, you pick the WebSphere Application Server Hypervisor Edition image in your catalog to which the fix applies. Next, you extend that image, and once a virtual machine based off the image is accessible, you use existing WebSphere Application Server tools (Update Installer) to apply the fix. After the fix has been applied, you can capture the updated image and then use it as the basis for patterns created from that particular version of the WebSphere Application Server.
On the other hand, if you are looking to ensure subsequent deployments are based on a new level of the WebSphere Application Server, your process will be a bit different. First you would load a new WebSphere Application Server Hypervisor Edition image (based on the new level of WebSphere Application Server) into your WebSphere CloudBurst catalog. Then you would select any of your customized patterns you wanted to upgrade to the new level, clone that pattern, and simply select the new image as the basis for the pattern. All of your other customizations are preserved. Really, it's that simple!
I hope that over the last month I have answered some of the more common questions about WebSphere CloudBurst. At any point if you have any questions feel free to email me or leave a comment right here on the blog.
As Joe mentioned in his last post, virtual application patterns are all the rage in IBM Workload Deployer. The high degree of abstraction provided by these patterns means users can remove tedious, time consuming tasks like middleware installation, configuration, and integration from their field of view. As a consequence, users can build and deploy application environments in unprecedented time, thus freeing up more time to focus on the actual application.
This is obviously important because building and deploying application environments are crucial, traditionally time consuming activities. However, what happens after you build and deploy the application? You manage it, that's what! Joe brought up the fact that IBM Workload Deployer makes this easier too by delivering an integrated management portal through which you can manage and monitor your application environments. Now, this probably already sounds valuable, but what really puts it over the top is the management portal exposes an interface that is workload aware. But, what does that mean?
To get an idea of what that means, consider the case that you use the shipped virtual application pattern to build a simple application environment with a web application and database. You deploy it with IBM Workload Deployer, and your application is up and ready. Now you want to start checking things out. You start by opening the management portal directly from the appliance, and you see both the application and database components listed in the view:
After you looked at basic machine statistics such as network activity and memory usage, you could move on to a more workload-centric view. For instance, you could examine statistics particular to a web application such as request counts and service response times:
You may also decide that you want to alter certain aspects of your deployed environment. As an example, you could update your deployed application or change certain configuration data in the deployed environment:
It is important to note that you have a management interface for each of the components in your environment. That means that from the same management interface, you can manage and monitor the database you deployed as part of your environment. For example, at different intervals, you may want to backup your database. You can do this directly from the management portal provided by IBM Workload Deployer:
Lest you think that you can only manage and monitor, this unique management interface is also a one stop shop for all of your troubleshooting needs. From the centralized portal, you can view log and trace data for each component:
Virtual application patterns are an attempt to encapsulate each phase of your application's lifecycle, from creation to deployment to management. In this regard, I hope the above provides a taste of some of the management capabilities provided by virtual application patterns. It truly is the tip of the iceberg!
A few weeks ago, I had a conversation with a current WebSphere customer about the potential value they could derive from the use of IBM Workload Deployer. Right away, this customer saw value in the consistency that a patterns-based approach could afford them. It was clear that patterns eliminate the uncertainty that can make its way into even the best-planned deployment processes. Initially though, the customer questioned the value of being able to do fast deployments because, in their words, "We don't deploy WebSphere environments that often." So, we continued our discussion, and then they asked an important question that I encourage all of our users to ask: "Why don't we deploy our WebSphere environments more frequently?"
It is interesting to talk with our WebSphere users that have a long history with our products. Often times, they have been taking a shared approach to WebSphere installations for many, many years. They develop innovative approaches and isolation schemes that allow them to carve up a single WebSphere installation (cell) amongst multiple different application teams. This allows them to avoid having to setup a cell for each application deployment and saves them the associated time. However, having talked to many different users taking this approach, it is not without its challenges.
As was the case in the customer I mention above, users typically made trade-offs when electing for larger, shared cells. As an example, if you have multiple different application teams with different types of applications using a single cell, applying fixes and upgrades to that cell can be a lot more complex. After all, you now have to coordinate plans across a number of different teams and find a window that fits all of their needs. For the same reason, trying incremental function via our feature packs is much more arduous in these types of cells. Additionally, administrative controls become more complex since teams with varying needs all require administrative access. Admittedly, this gets simpler with newer fine-grained security models in WebSphere Application Server v7 and v8, but it still requires organizational discipline and process.
At this point I should be clear that I am not denigrating the shared cell approach. It can work well, and we have many facilities built into the WebSphere Application Server product to support that model. However, if you are using this approach and you find yourself stumbling too much for your own liking, then I would strongly suggest that you explore the patterns-based approach of IBM Workload Deployer. By deploying patterns that represent your WebSphere cells using IBM Workload Deployer, you can quickly and consistently setup multiple WebSphere Application Server cells to support the varying needs of your application teams. You will still avoid spending an inordinate amount of time installing and configuring cells as that is an automated part of pattern deployment, and your application teams will still get the resources they need. Further, this can liberate your application teams in terms of how they apply maintenance, install upgrades, and absorb new function in the form of feature packs.
I am not suggesting a complete pendulum swing in your approach to how you manage multiple application environments. There is definitely a happy medium in terms of how many cells you end up with. After all, you do not want to trade in one set of problems for the problem of managing way too many different cells. However, I do think that decomposing monolithic, multi-purpose cells into smaller, more purposeful cells can be beneficial. In the course of thinking about this different approach, you may come to the same conclusion that the customer I mention above did. IBM Workload Deployer's rapid deployment capabilities are indeed valuable if you take a slightly different view of current processes.
It isn't often that the IT world looks at the federal government as technological pioneers, and the new CIO of the Office of Management & Budget, Vivek Kundra, thinks that is a problem. Kundra is striving the for the federal government to become key leaders in innovation, and in doing so, he's looking at cloud computing as a first step.
Due to the sensitivity and privacy of data the government is often handling, one may not think cloud computing the best fit. Kundra, however, does not see that as a show stopper. "We recognize that whether it's cloud computing or any area of technology there is sensitive and classified information and it cannot be treated the same way as public information, but they are not mutually exclusive." While only a few words, Kundra makes it clear that one of the biggest perceived fears of adopting cloud computing, security and privacy, will not stand in the way of the federal government's march to innovation.
It's still early in his tenure, but the First CIO seems to be serious about his push for cloud computing. He says that he is "killing projects that don't investigate software as a service first", and he is keen on looking to the cloud for storage and web development solutions. Kundra also believes that by leveraging cloud solutions across the multitude of federal agencies, we can ensure that resources are used only when needed by replacing the always-on data center with outsourced solutions where possible. He's also counting on the adoption of cloud computing to send a strong message that government agencies can lead technological innovation.
I doubt anyone would discount the benefits Kundra is seeking by attempting to move the federal government in the clouds. He hopes to reduce tax dollar spending by using only the necessary IT resources, improve end-user services for tax payers, and foster a culture of technological innovation among a myriad of federal agencies. There is no doubt that such a transition and culture change will not come easy, but Kundra sounds dedicated to an honest effort at change. If the federal government is able to effectively leverage cloud computing solutions, I believe it could be a trend-setter for many organizations. If an entity as unwieldy and complex as the federal government can adopt and derive benefits from cloud computing, I believe many organizations that once discounted the technology may take a fresh look at the capabilities at hand.[Read More]
Much of the focus on cloud computing to date revolves around the ways in which cloud computing delivers significant administrative and operational benefits. After all, the more dynamic, autonomic capabilities promised by cloud could go a long way in relieving some of the burden in managing large, complex IT infrastructure operations. Sometimes lost in the cloud computing benefits discussion is how cloud computing enhances development and test groups in an enterprise. I can think of five different ways in which cloud computing strengthens development and test groups:
1) Self-service capability: A defining characteristic of cloud computing solutions is a self-service capability that allows users to commission and decommission computing resources as appropriate. In development and test shops, this means users can directly procure the resources they need to complete their tasks without going through lengthy, manually-driven procurement chains. This results in a significantly shortened procurement period, and it means developers and testers can quickly get to the task at hand.
2) Resource availability: Resource sprawl within IT shops, a very common occurrence, leads to resource deficiencies that are sometimes a problem for enterprise developers and testers. Tasks like testing massive configurations and performing intensive load tests become increasingly difficult as it is hard to harness enough resources to get the job done. Cloud computing, through intelligent virtualization, usage tracking, and more, enables this scattered resource pool to be viewed and utilized as a single logical entity. Resources can be doled out as needed, and intense tasks become achievable without extensive setup or procurement periods.
3) Environmental fidelity: From the time a software application or service leaves a developer’s hands to the time it reaches production, quite a few things about its environment may be changed, often times unbeknownst to the developer. The test and operation teams may have different conventions and configurations than development teams, and this can lead to unintended application behavior and delays in service delivery. Cloud computing offers a potential solution to this problem in the form of the increasingly popular templatized solution stack. These solution stacks are pre-built, ready to deploy configurations, which include the application and entire environment down to the operating system. This stack can be captured as some sort of image (i.e. OVF image, Amazon Machine Image, etc.), and passed off between each team along the delivery cycle. Teams downstream from development see the exact environment in which the application was designed and unit tested, and they can balance needed changes to that environment against a known, working solution.
4) Hosted tools: Though possibly not yet standard operating procedure, one can look at the wave of SaaS offerings and make a reasonable assumption that more and more development and test tools will be moving in that direction as well. Why not? Putting aside the technical challenges of hosting something like a code editor on a network, the benefits of centrally hosting these types of tools are clear. Developers and testers no longer have to worry with installing, configuring, running, or maintaining these enabling tools on their own machines. Instead, they can log into the tools from any machine with a network connection and get work done.
5) Increased focus: This benefit is a culmination of all of the above benefits. By easing the process to acquire resources, making more resources available, ensuring configuration integrity, and removing the burden of maintaining tools, developers and testers are left to focus on their core jobs. The operational and administrative portions of their job are significantly reduced through cloud computing solutions. As a result, organizations are in a position to benefit from more developer innovation, increased test quality and coverage, and more.
The above five ideas illustrate that cloud computing can indeed enhance development and test efforts just as they boost administrative and operational tasks. Development and test teams that understand the benefits they can derive from cloud computing are likely to be proactive in advocating its use. For the cloud computing industry, increasing adoption by development and test groups could lead to widespread grassroots movements that further spread the use of cloud computing throughout enterprises.
IBM trekked further into the cloud today by announcing new offerings that will help clients to leverage the cloud within their enterprise. These offerings include development environments, test environments, and desktop services running either in the IBM cloud or a private cloud, as well as something called IBM CloudBurst (not to be confused with the WebSphere CloudBurst Appliance).
In particular, the IBM CloudBurst offering jumps out to me as a truly innovative offering. This offering promises our clients a complete private cloud solution that includes hardware, software, and services all in a single package.
Essentially it sounds like the IBM CloudBurst offering is all about building out a cloud-enabled data center. The hardware provides the bulk computing power to host private clouds, and the software provides enhanced service management capabilities to give users full control and insight over the elements of their private cloud.
Couple these computing capabilities with included IBM service, and this means clients should be able to get up and going with their private clouds very quickly.
This new offering really seems to hit a sweet spot. While the number of cloud computing offerings continues to grow, few if any offerings take such a holistic approach to providing such a solution.
This type of comprehensive solution gives users what they need in terms of the hardware to host a private cloud and the software to manage that cloud. Just as importantly though, it helps users put the hardware and software to work via implementation services also offered in the solution.
I invite you to take a look at the new IBM CloudBurst offering, and don’t forget to sign up for the IBM CloudBurst webcast scheduled for June 25th.
In previous posts, I have discussed the integration capability between WebSphere CloudBurst and Tivoli Service Automation Manager. Most recently, I discussed this in the context of integrating WebSphere and IBM CloudBurst. Today, I am happy to announce the publication of an article I co-wrote with Marcin Malawski from TSAM development on the subject of this integration.
If you are a WebSphere user interested in a holistic approach in building out a private cloud, I strongly recommend that you check the article out. If you are currently an IBM CloudBurst, IBM Service Delivery Manager, or Tivoli Service Automation Manager user and you provision a significant number of WebSphere environments, I strongly recommend that you check the article out. In fact, regardless of your current situation, do me a favor and check the article out!
As always, I look forward to feedback and comments. Good, bad, or indifferent. You can leave your comments here or on the article page. I look forward to hearing from you!
Yesterday, I had the opportunity to present WebSphere CloudBurst during the IBM Cloud computing for developers virtual event. I provided a brief overview of the appliance along with a demonstration, and then tackled some questions from the 150+ attendees in the audience.
All of the questions were good ones, and I wish I had time to address them all during the session (I will be answering all questions and posting them online soon). However, one of the questions stood out to me because of its relevance to how IBM uses WebSphere CloudBurst in their own labs. Paraphrasing, the question was "Can you share hardware resources (hypervisor hosts) between WebSphere CloudBurst and other components in your data center?"
Very good question. The answer is, of course, yes you can. I don't want to sugarcoat it because it does require thought and planning. Ideally, when WebSphere CloudBurst is using a hypervisor host, the appliance is the only thing acting on that host. However, when WebSphere CloudBurst is not using that host, then you can absolutely repurpose it for use by other components in your data center.
Our WebSphere Test Organization uses WebSphere CloudBurst to aid in their testing of our WebSphere middleware products. The capability to provision hypervisor hosts in and out of the WebSphere CloudBurst cloud is of critical importance to them. Like many organizations, they are resource constrained and must get the most out of their IT investment. They use the Tivoli Provisioning Manager to provision VMware ESX hosts for use by WebSphere CloudBurst, and then they use the WebSphere CloudBurst CLI to define those hypervisors to the appliance and do verification testing of the new resource. This allows them to easily expand and contract the amount of shared infrastructure utilized by WebSphere CloudBurst at any one time, and it means components do not have to statically lock down resources. I have a lot more information to come about our WebSphere Test Organization and their use of WebSphere CloudBurst, but I thought I would give everyone a peek at the kinds of things they do everyday with the appliance.
If you are interested in what I presented yesterday to the attendees of IBM's Cloud computing for developers event, you can check out their developerWorks Group page. In the Activities section, you will find the charts, demonstration, and a playback if you prefer to listen to the session. As always, I appreciate your feedback and questions.
I want to stay in the realm of the deployment process for our next frequently asked question regarding the WebSphere CloudBurst Appliance.
The ability to quickly deploy entire WebSphere Application Server cells (anything from single node cells, to multi-node clustered cells) is a hugely compelling feature of the appliance. Instead of spending days or hours deploying a WebSphere Application Server cell, users can deploy these in a matter of minutes (less than twenty minutes for clustered environments)!
For the most part, WebSphere CloudBurst patterns represent entire cells. This includes management parts (AdminAgent, DeploymentManager), managed parts (custom nodes), and proxy parts (IHS). When you deploy a pattern, the result is a complete and fully functional WebSphere Application Server cell running in your private cloud.
So, now that you have a complete cell out in your cloud, what happens if you need to add more nodes? If the the user-demand for the applications on your cell has exceeded the initial topology, can you use WebSphere CloudBurst to add more cells? Sure you can!
In short, this involves creating a pattern that contains only a custom node part, and then at deploy time, providing information about the existing cell. WebSphere CloudBurst then takes over the deployment of that custom node and federates the node into the existing cell based on the information supplied about that cell. I won't go into an entire explanation here, because I think the demo I put on our YouTube channel explains it pretty well.
In my experience with the WebSphere Application Server, this represents a much more seamless and automated process for deploying new nodes into an existing cell than what exists outside of WebSphere CloudBurst today. Of course, we value your comments and feedback above all else. So let us know what you think!
I just wanted to point out a great opportunity for anybody considering leveraging IBM Workload Deployer v3 to deploy Database workloads. On June 29th Rav Ahuja, a Senior Product Manager for Data Management at IBM, will be hosting a webcast entitled "Easily Deploying Private Clouds for Database Workloads". He will be joined by Chris Gruber (Product Manager, Database as a Service), Leon Katsnelson (Program Director, IM Cloud Computing Center of Competence), and Sal Vella (Vice President, Database Development and Warehousing) in this panel discussion.
As many of you already know, IBM Workload Deployer v3 comes pre-loaded with DB2 images and patterns that are configured to rapidly provision standardized database servers for any number of purposes. The servers can be deployed in standalone configurations or as part of a complete virtual system including web components with the database components. These servers can also be configured for high availability scenarios. This panel discussion will cover all of these scenarios and more.
You can read more about the webcast in this blog post by Rav Ahuja.
If you want further details about how to build and rapidly deploy databases in a private cloud, be sure to attend this free webinar on June 29th.
WebSphere CloudBurst delivers out-of-the-box capabilities in the form of pre-built WebSphere Application Server configurations, or patterns, which are ready to be deployed to a private cloud. These pre-built patterns range from a single server topology to more complex, clustered topologies. In addition, these patterns have been tuned to produce hardened, best-practice environments. For users, this means once they have the appliance setup, they can immediately begin building a private WebSphere cloud.
The out-of-the-box capability of WebSphere CloudBurst is extremely useful, but what about the situations where those patterns don't align with a user’s needs? What if a user needs to create a highly customized WebSphere environment? Not to worry, WebSphere CloudBurst was built with a focus on bringing customization capabilities to the user. These customization capabilities cover the full WebSphere middleware environment, from the operating system to user applications.
To start with, WebSphere CloudBurst allows users to modify the virtual images that are shipped with the appliance. These virtual images contain the operating system and WebSphere components that are used to build the WebSphere patterns. A perfect use-case for this is if a user needs to install custom software to be used in all of their WebSphere environments.
For instance, if a user wanted to install a JDBC driver that was to be used by each of their WebSphere deployments, they would simply extend one of the shipped virtual images, install the JDBC driver, and then recapture the image. Once the image was recaptured, it could be utilized to build the WebSphere patterns that represent the complete WebSphere middleware environment. By using this virtual image to build patterns, users are assured the JDBC driver will be present in each and every WebSphere deployment to their private cloud.
Another common customization is a change to the WebSphere topology in a pattern. If a user has a particular cluster environment that is different from the shipped WebSphere cluster patterns, they could simply clone the shipped cluster pattern, make any needed topology changes, and then save their new pattern.
The best thing about this process is that the topology changes are done via a slick GUI interface. Users can construct WebSphere topologies by simply dragging and dropping WebSphere components (i.e. stand-alone servers, deployment managers, web servers, etc.) onto a canvas! Once the pattern is constructed and saved, it can be reused as many times as necessary.
Patterns can also be customized to include user applications or other WebSphere configuration tuning. Script packages are compressed files (ZIP or TAR) that are constructed by users to alter the WebSphere environment. These packages might contain an application and scripts to install the application, or it could contain a script to tune or enhance the environment created by WebSphere CloudBurst.
The beauty of script packages is that they can do just about anything. Users tell WebSphere CloudBurst how to execute the script package (i.e. “Call the installApp.sh script in my script package”), and that execution takes place at the end of the pattern deployment. The result is a dispensed WebSphere environment that has been customized according to the script package contents.
There’s more to WebSphere CloudBurst customization capabilities than what I talked about above, including the ability to customize each and every deployment of a pattern, and the ability to align these customization activities with organizational responsibilities. To find out more about these capabilities, check out the demos on our YouTube channel or send us an email at email@example.com. Stay tuned to the blog for more information about the WebSphere CloudBurst Appliance.
We've been talking a lot about IBM Workload Deployer V3 and we will continue to highlight different aspects of the capabilities it provides in the coming weeks. As we've already mentioned - IBM® Workload Deployer V3 is not just another release of the IBM WebSphere CloudBurst Appliance. While it builds on WebSphere CloudBurst's success, and supports and improves upon all of its original capabilities, Workload Deployer provides new application-centric computing capabilities for your private cloud, and brings you higher utilization, improved ease of use, and more rapid application deployment.
More and more, I am getting a question about how to bring existing WebSphere environments into IBM Workload Deployer. While "bringing in an environment" can mean any number of things, let's take it to mean that a user wants to import their existing WebSphere cells, applications, and configuration into IBM Workload Deployer as a pattern they can subsequently deploy. While there may not be a big red easy button in the appliance that lets you point to an existing environment and import it, there are a couple of techniques that one can employ. I have covered both techniques before, but since I'm getting the question with increasing frequency, I felt like it was time for recap.
The first option is to use a combination of IBM Workload Deployer and Rational Automation Framework for WebSphere. This is a use case I have spoken about numerous times at conferences and in blog posts and articles. In fact, you can read a little about it here. In this sense, RAFW provides excellent capabilities to point at an existing cell, and import everything about it. This includes WebSphere configuration, applications, shared libraries, and more. Once imported as a RAFW project, you can use the IBM Workload Deployer integration script package provided by RAFW to replay that configuration on top of deployments created by the appliance.
The second option is something I talk about a little less frequently. This option revolves around the use of a sample script (provided for free in our samples gallery) that you can run against existing WebSphere cells. The invocation of this script produces IBM Workload Deployer script packages that you can use in patterns to apply the configuration of the target cell to your new cloud-based deployments. Under the covers the utility script and resultant script packages use backupConfig and restoreConfig respectively. They do ensure the update of the cell, node, and host names during the restoreConfig execution (which happens automatically during pattern deployment). Beyond that, the use of the script is subject to the same limitations and rules in place for the use of the backupConfig and restoreConfig commands. You can read more about this capability, watch it in action, and download it for free.
I hope this is all useful information for those of you looking for ways to import existing environments into IBM Workload Deployer as patterns. If you have any questions, please let me know!
In a post not long ago, I mentioned new enhancements to virtual system patterns in IBM Workload Deployer. A prominent part of those enhancements were updates to pattern construction that allow you to order virtual machine startup, order script package invocation, and include add-ons that provide system level configuration options. Recently I uploaded a demonstration to YouTube that highlights some of these new capabilities. Specifically, this provides a brief look at ordering and add-on enhancements.
I hope you take a look, and even more importantly, I hope to see some feedback. If you have something you would like to see captured in a demo, let me know and I'll work it to the top of a long and continually growing list!
In my prior job at IBM, I was, on more than one occasion, reminded of the pains of dealing with software development tools. It seemed to be a constant battle to keep up with licenses, install critical fixes, and update to the latest version of whatever tool I happened to be using. Since I often worked on projects across multiple machines, I had to ensure that versions of the tool on different machines were reasonably close and that any code formatting settings were consistent across the different tool instances. On top of this, the tools were sometimes so CPU intensive that multitasking on the same machine running the tool was impossible.
All of the above pains were a direct function of the tools being installed on my local machine, so you can imagine my interest in a recent announcement by IBM signaling the launch of a pilot program offering Tools as a Service. The program, initially offered to students and faculty of selected universities, delivers hosted software development tools to developers. Users of the development tools do not install, maintain, or run the products on their local machine, instead they access them through a cloud maintained by IBM. The tools can be accessed from any machine with an internet connection, and a developer's sandbox is persisted across multiple sessions. The developer simply logs in, does work, and at some point saves his/her changes and logs out. The saved changes can be accessed at some point in the future from the same machine or an entirely different one.
This is exactly what I needed! Like many developers, I wanted to focus on writing code not maintaining a suite of tools. I for one hope this eventually extends beyond a pilot program and becomes a mainstream practice. You can read more about IBM's Tools as a Service initiative here.