In my opinion, declarative deployment models are key to the entire notion of Platform as a Service (PaaS). That is, users should concern themselves with what they want, but not necessarily how to get it. The PaaS system should be able to interpret imperatives from the user and automatically convert that to a running system. In this respect, I think the new virtual application pattern, and more specifically policies, in IBM Workload Deployer takes a giant leap toward a more declarative deployment model.
In IBM Workload Deployer, policies allow you to 'decorate' your virtual application pattern with functional and non-functional requirements. In other words, they provide a vehicle for you to tell the system what qualities of service you expect for your application environment. To put a little context around this discussion, let's examine the policies available in the virtual application pattern for web applications. Specifically, let's look at the four policy types you can attach to Enterprise Application, Web Application, and OSGI Application components in this pattern:
Scaling policy: When it comes to cloud, the first thing many folks think about is autonomic elasticity. Applications should scale up and down based on criteria defined by the user. Well, that is exactly what the scaling policy lets you do. You simply attach this policy to your application component, and then specify properties that define when to scale. First, you choose a scaling trigger from a list that includes application response time, CPU usage, JDBC connection wait time, and JDBC connection pool usage. After choosing your trigger, you decide the minimum and maximum number of application instances for your deployment, and then you choose the minimum number of seconds to wait for an add or remove action. At this point, you can deploy your application and IBM Workload Deployer will monitor the environment, automatically triggering scaling actions as needed.
JVM policy: I would be willing to bet that nearly all of you tune the JVM environment into which you deploy your applications. The JVM policy allows you to take two common tuning actions, setting the JVM heap sizes and passing in JVM arguments, as well as attach a debugger to the Java process (especially useful in development and test phases). You can also use the policy to enable verbose garbage collection (invaluable to understanding heap usage patterns for your application) and select the bit level (from 32 or 64) for your application. Again, all you have to do is attach the policy and specify the properties. IBM Workload Deployer will take care of the required configuration updates.
Routing policy: The routing policy provides a simple way to specify virtual hostnames and allowable protocols (HTTP or HTTPS) for your application. Attach the policy, provide the virtual hostname you want to use, select the desired protocols, and that's it! Remember, once you set the virtual hostname you will need to update your name server to map the hostname to the appropriate IP address.
Log policy: During the development and test phase, it is likely that you will want to enable certain trace strings in the application runtime. The log policy allows you to provide trace strings for your application, and it makes sure that the appropriate configuration updates occur in the deployed environment.
While this is not an exhaustive explanation of each of the policies above, I hope it gives you a basic idea of what they are and how to use them. To me, declarative deployment models are going to be a crucial part of making PaaS successful, so I am really excited about the notion of policies in IBM Workload Deployer. What do you think?
Cloud Computing is essentially a Systems Management innovation. I understand that, to some, that means simply managing hardware and capacity or computing power. However, it also involves deployment of enterprise level software. While some software is a kind of out-of-the-box asset that can be installed generically as if it were a hard asset, infrastructure software like WebSphere requires considerable skill and knowledge.
Tier1 cloud computing implementations must be able to expand the enterprise into provided capacity quickly and autonomically. If the scale-out requires tremendous effort and specialized skills then the cost savings that cloud offers is severely mitigated.
CloudBurst provides a mechanism to quickly deploy WebSphere environments to private clouds and allows the administrator to simply manage the assets on which WebSphere will run. The expertise of setting up and configuring WebSphere is, in effect, canned. This allows for much more rapid deployments and reduces the need for more expensive admins.
While many companies are still putting forward more technologically sophisticated offerings that still require even more technologically sophisticated staff, WebSphere has produced a product with a value which is more easily realized, understood and which can be seen on the balance sheet.
I hardly ever have a conversation about WebSphere CloudBurst, or generally cloud computing for application middleware, without the topic of databases coming up. Databases are such an important piece of nearly every application middleware environment, so users want to be sure that whatever they do for their application servers, they can also do for the databases on which their applications rely. That is why the capability to deploy DB2 from WebSphere CloudBurst has been around for as nearly as long as the capability to deploy WebSphere Application Server.
Even though DB2 deployment capability has been around for a while, there are still some common misconceptions regarding the offering. First, I have talked to a fair number of users who are under the impression that we only offer a trial version of DB2 for deployment via WebSphere CloudBurst. While that was true for the first few months of the offering, that is no longer the case. For several months now, a fully supported, 64 bit, production-ready DB2 image has been ready for use in WebSphere CloudBurst. If you were waiting for a DB2 image that you could go live with, wait no longer!
The other misconception, or rather, point of confusion, arises from the fact that the DB2 image for WebSphere CloudBurst is not, by name, a Hypervisor Edition image. I can assure you that is in name only. The DB2 image looks like and behaves like any other IBM Hypervisor Edition image once you load it into the appliance. You can use it to build and deploy patterns in the same way you use other images in WebSphere CloudBurst. You may just have trouble finding it if you search for 'DB2 Hypervisor Edition' as opposed to 'DB2 Server for WebSphere CloudBurst Appliance.'
Instead of going into further detail, I want to refer you to a blog entry from a fellow IBMer, Leon Katsnelson. Leon is a program director for DB2 and is responsible for the team that develops and delivers the DB2 image for WebSphere CloudBurst. In his most recent post, he provides a nice overview of the image and gives good information for those looking to use DB2 and WebSphere CloudBurst (there is also a bit on cloud computing at the beginning that I think is spot on). Check out Leon's post, and let us know what you think!
If you frequently find yourself setting up and tearing down application environments that run on offerings from the WebSphere portfolio (like WebSphere Application Server or WebSphere Process Server), I have little doubt that you see the benefit of WebSphere CloudBurst. The appliance allows you to setup these environments with unprecedented speed and extreme simplicity. In fact, WebSphere CloudBurst makes it so simple and fast to setup these environments, it would be surprising if you did not spin up more WebSphere application environments with WebSphere CloudBurst than you did before your adoption of the appliance. Soon, you will find yourself faced with another challenge: that of managing and governing an increasingly growing ecosystem of your application environments.
From the beginning, WebSphere CloudBurst focused on the complete lifecycle for WebSphere application environments in an on-premise cloud. Therefore, in addition to easily creating and deploying these environments, the appliance delivers many features that help you manage and govern the dispensed virtual systems. This includes capabilities such as usage monitoring, fix and upgrade application, and virtual system state management. In the recently announced WebSphere CloudBurst 2.0, management capabilities go a step further, and now you can manage software license usage for your on-premise cloud.
What does it mean to be able to manage your software licenses? Well, in the new version of the appliance (firmware released planned for June 18th), as you dispense environments, WebSphere CloudBurst will keep track of the PVUs you are consuming for the particular IBM software you are instantiating. In doing this, it accounts for the physical machine architecture on which the supporting hypervisor sits, and it takes into account the IBM subcapacity/virtualization licensing policy. This means you can get an accurate view of your PVU usage at any point, and the appliance can produce a highwater mark report for any product over a date period you specify. This is license counting made easy!
In addition to simply tracking your PVU usage, you can optionally configure enforcement behavior. Enforcement behavior tells the appliance what to do when you exceed your PVU threshold for a particular product. You have three basic options: Ignore, Warn, Enforce. In Ignore mode, nothing happens when you exceed your PVU entitlement for a given product. Deployments that use those products continue to deploy as usual. In Warn mode, deployments for products for which you have exceeded your PVU entitlement continue as usual, but appliance administrators receive an email warning them of the situation. Lastly, in Enforce mode deployments that will put you over your PVU threshold for a given product simply fail. This prevents you or deployers using your appliance from overstepping your entitlement.
The software license management features in WebSphere CloudBurst 2.0 really add to the overall management capabilities of the appliance. I want to be sure to reiterate that the configuration of enforcement behavior, specifically the Warn and Enforce modes, is optional. It is not required from IBM. The software license management capabilities delivered in WebSphere CloudBurst 2.0 are purely meant to enhance your capability to manage and govern environments in your on-premise cloud. If you are interested in seeing this in action, check out this short video.
Virtual Application Patterns are one of the major new features in IBM Workload Deployer v3. You've heard this concept discussed on this blog before and it is really a revolutionary way to manage your applications in a private cloud environment. With Virtual Application Patterns you provide declarative information about your application including functional and non-functional requirements of that application. You get to focus on the application rather than the middleware configuration and IBM Workload Deployer takes care of all the details necessary to launch your application with the criteria you specify. This application-centric approach radically simplifies the deployment of applications in a private cloud. And it is not just the deployment that is simplified; it is also the monitoring, metering, logging, security, caching, etc ... that is consolidated and simplified as well. Everything is custom tailored for the particular application type to provide a significant level of integration and optimization for elastic, efficient, multi-tenant, automated management and execution of that application workload.
In IBM Workload Deployer v3 there are two different types of virtual application patterns provided out of the box; a pattern for web applications and a pattern for database applications. It's no accident that these are also the two most heavily utilized types of applications in most enterprises. Of course more patterns will be appearing in the future and you have the opportunity to create your own custom patterns ... but these first two patterns can cover a substantial number of current application workloads.
So why am I introducing all of this again? Well, I want to make you aware of a new article that was just published which covers virtual application patterns in a very consumable way with enough detail and screen shots to get you started down this path. It is appropriately named: Easy virtual app automation using Workload Deployer . It really does a great job of covering not only the web application pattern - but it also introduces the database pattern (DBaaS) and shared services. If you are about to embark on virtual applications this is a great place to start.
Maybe you remember, but not long ago I wrote a post about scenarios when WebSphere CloudBurst and Rational Automation Framework for WebSphere (RAFW) combine to form quite the pair. You can read that post for details, but the basic scenarios were configuring and capturing, importing existing environments into WebSphere CloudBurst, and migrating from virtual to physical installations. Well, after talking with customers and colleagues lately, you can add another scenario to the list: version-to-version WebSphere Application Server migrations.
I want to be clear here about one thing before I go further. I am in no way advocating against the use of the migration tooling that ships with WebSphere Application Server. It is an excellent tool that can make migrations simple and fast. I am merely pointing out that when it comes to version-to-version migrations you have options, and you should survey them all before making a decision.
With that understanding, let's take a look at WebSphere CloudBurst and RAFW in the context of a version-to-version migration. This integrated approach to migration is ideal if you are amenable to moving up to a newer version of WebSphere Application Server in a cloud-based environment. Using both products makes migrations fast and easy, and you can be very confident that the configuration of the migrated environment is faithful to the original. The figure below shows the basic flow of the migration and breaks it down into a set of discrete steps.
Now, for a quick break down of each step:
Extract config & apps from old environment: The first step involves pointing RAFW at your existing configuration, the one you want to migrate from, and using an out-of-the-box action to import all of the configuration into a RAFW environment. You can also import your application binaries in this step.
Store config & apps from old environment: In step two, you will store the extracted configuration and application binaries in a source control repository or some backup location separate from your RAFW server. This is an optional, but recommended step.
Analyze and update apps: Before migrating your applications to the newer version of WebSphere Application Server, you can use the completely free Application Migration Toolkit to analyze the source code of your applications. This toolkit will recommend any required updates to ensure your application continues to behave as expected when moving to the new version. Again, this is an optional step, but the toolkit is free and very handy. So, why not?
Deploy new version of the environment: Step four starts by building a new WebSphere CloudBurst pattern. This new pattern matches the topology of the environment you are migrating from, and you build it from an image containing the version of WebSphere Application Server to which you want to migrate. Once built, you deploy it to your private cloud and you have a running environment in minutes.
Apply stored config and deploy updated apps: Now that you have your new environment up and running, use RAFW to apply the configuration you extracted from your old environment. RAFW inherently understands any configuration translation that needs to occur to apply the old configuration to your new environment, and it can also deploy your updated applications for you.
That's the basic overview for version-to-version migrations when you are moving to a cloud-based environment. In time, I will be posting more information about this process to shed a little more light about what is going on under the covers. In the meantime, you know how to reach me if you have questions!
For the next installment of this series of FAQs, let's move from product positioning and integration, square into the land of operational procedure. For this post, we will consider you are getting ready to deploy a pattern based on the WebSphere Application Server Hypervisor Edition. During the deployment process, you provide configuration information, which includes a password for a user named virtuser.
You read the documentation, and you understand that virtuser is both an operating system user and the user that WebSphere CloudBurst configures as the primary administrative user for WebSphere Application Server. Naturally, this user owns the WebSphere Application Server processes that run in the virtual machine. While it is convenient that this is all pre-configured for you, you want to know one thing: "Can I define a user besides virtuser?"
It certainly would not be the first time this question came up. The short answer to this is yes, but there are of course caveats. You can define another user and have that user own the WebSphere Application Server processes, but you cannot completely remove the virtuser user, nor should you remove virtuser as the primary administrative user. The reason for this is that WebSphere CloudBurst relies on virtuser when it carries out certain actions such as applying maintenance, applying fixes, or otherwise interacting with the WebSphere Application Server environment.
All that being said, I recently put together a script package that allows you to utilize a user other than virtuser. I hope to put the script package in our samples gallery soon, but here's a basic overview of using the script package and what it does:
Attach the script package to all parts in a pattern that contain a WebSphere Application Server process.
Deploy the pattern and provide the necessary parameter values. These include the name of the new user, a password, a common name, and a surname. The last two bits are necessary when creating a new administrative user in WebSphere Application Server.
During deployment, the script package first creates a new OS user with the specified password.
The script adds the new user to the existing OS users group.
The script creates a new WebSphere Application Server user with the same username and password and grants administrative privileges to the user.
The script shuts down the WebSphere Application Server processes.
The script changes the runAsUser value for all servers to the empty string and sets the runAsGroup value for those servers to users. This allows members of the OS users group to start the WebSphere Application Server process.
The script starts the WebSphere Application Server processes.
There are a few other activities in the script, but that should give you a basic overview. Again, note that the script does not remove the virtuser user or change that user's OS or WebSphere Application Server permissions in anyway. I would also point out that if you use WebSphere CloudBurst to apply maintenance to the WebSphere Application Server environment, it will do so as virtuser and it will restart processes as virtuser, so plan accordingly.
I hope this sheds some light on a very common question. I hope to get the sample up soon, and as always let me know if you have any questions.
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 we talk about clouds, we tend to think of the usual enterprise with servers centralized in data centers or in server rooms. At least, I do. But why does
it have to be so? Any IT shop will have many more computers than what is in the server farm. With hardware technology accelerating, as always, even desktop machines are capable of multiprocessor computing and doubling as servers.
Cloud offers the ability to do more than web commerce. The concept of cloud can have broad implications for all kinds of parallel processing needs. Right now, there are a number of organizations from SETI to large medical research firms that use volunteers on the internet to help compute through massive computational workloads. The ability to do that on a wider scale is limited by the need to deliver more sophisticated or even proprietary software on the member systems.
What if workstations could be conscribed to be part of a cloud? When the workstation owner is not using it, the entire machine could be repurposed for another need. Then during work hours, the owner's image could be restored. Private owners could even lease their processing time and make some extra money or earn credit of some kind.
Right now I am surrounded by several multicore processor based systems. Any one of them could power a web presence for a small business. All of them could power the website for a medium business. If I maintained a small cloud using the computers of my neighbors, I could possibly lease powerful computing cycles to render the next animated movie or to compute fractal geometry calculations for climate models. If I operated between 9PM and 6AM I could deliver more than a day's worth of computing gain. What would that be worth?
If you are going to install and use WebSphere CloudBurst in your own environment, it is very likely that you would want at least two appliances. Perhaps you want to have a standby appliance in case of a failure on the main appliance, or maybe you have different teams that are looking to utilize the appliance in different data centers. In any case, once you install multiple appliances there's another requirement that will pop up pretty quickly. Naturally you are going to want to share custom artifacts among the various WebSphere CloudBurst boxes.
When I say custom artifacts, namely I mean virtual images, patterns, and script packages. Script packages have been easy enough to share since WebSphere CloudBurst 1.0 because you can simply download the ZIP file from one appliance and upload it to another. However, there are some enhancements in WebSphere CloudBurst 1.1 that make it easy to share both patterns and images among your different appliances.
As far as patterns go, there is a new script included in the samples directory of the WebSphere CloudBurst command line interface package called patternToPython.py. This script will transform a pattern you specify into a python script. The resulting python script can then be run against a different WebSphere CloudBurst (using the CLI), and the result is the pattern is created on the target appliance. You need to be sure that the artifacts that pattern references (script packages and virtual images) exist on the target appliance and have the exact same name as they do on the appliance from which the pattern was taken. There are no other caveats, and this new sample script makes it really simple to move patterns between appliances.
For virtual images, a new feature was added that allows you to export a virtual image from the WebSphere CloudBurst console. Simply select a virtual image, specify a remote machine (any machine with SCP enabled), and click a button to export the image as an OVA file. This OVA file can then be added to another WebSphere CloudBurst catalog using the normal process for adding virtual images. You can see this feature in action here.
Stay tuned for more information about some of the handy new features in WebSphere CloudBurst 1.1. We also should have a comprehensive look at the new release coming soon in a developerWorks article.
I'm out at the RSA conference in San Francisco this week, and I'm expecting a lot of good conversations about WebSphere CloudBurst and security. This topic always comes up when I'm out and talking to customers, and I approach it from a few different angles.
First of all, WebSphere CloudBurst enables the creation of on-premise clouds (clouds in your data center). This means that you retain control over the resources that make up and support your cloud, and you have the ability to very tightly secure said resources. Notice that I say "you have the ability". I'm careful to point out that on-premise clouds do not inherently make your environment secure. If you don't already have a robust security strategy in place within your enterprise, then simply moving to a cloud model will not solve much. That being said, if you do have a comprehensive security strategy in place, one built around customized processes and access rights, then on-premise clouds are likely to make much more sense for you.
Moving beyond the opportunity for customized security controls provided by on-premise clouds, WebSphere CloudBurst delivers additional, unique security features. It starts on the outside with the tamper-resistant physical casing. If a malicious user attempts to remove the casing to get to the inner contents, the appliance is put into a dormant state, and it must be sent to IBM to be reset. "So what!" you say. If the user removes the casing and gets to the contents, couldn't they simply read the contents off the flash memory or hard disks directly, or insert them into another WebSphere CloudBurst Appliance and read them from there? Nope. All of the contents stored on the appliance's flash memory and hard disks are encrypted with a private key that cannot be changed and is unique to each and every appliance.
If you are at all familiar with WebSphere CloudBurst, you know that the appliance dispenses and monitors virtual systems running on a collection of hypervisors. Obviously then, the appliance must remotely communicate with the hypervisors. In order to secure this communication, all information between WebSphere CloudBurst and the hypervisors (and vice versa) is encrypted. This encryption is achieved by using an SSL certificate that is exchanged when a hypervisor is defined in WebSphere CloudBurst. This certificate must be accepted by a user, thus preventing rogue hypervisors from being defined in WebSphere CloudBurst.
Finally, WebSphere CloudBurst provides for the definition of users and user groups with varying permissions and resource access rights in the appliance. You don't have to turn over the keys to your cloud kingdom when you add a user to the appliance. You have the capability to define varying permissions (from simply deploying patterns, to creating them, all the way up to administering the cloud and appliance), and you have the ability to control access to resources (patterns, virtual images, script packages, cloud groups, etc.) at a fine-grained level. These two capabilities combine to allow you to control not only what actions a user can take, but also on which resources they can take those actions.
WebSphere CloudBurst was designed with focus on delivering a secure cloud experience, and I think it hit the mark. I'm sure I didn't address all your WebSphere CloudBurst and security related questions. If you have something specific in mind, leave a comment on the blog or reach out to me on Twitter. I'll do my best to address your question.
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.
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.
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.
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.