The enterprise monitoring space offers a diverse portfolio of feature rich monitoring options, each providing a myriad of different metrics, graphs, and pieces of data. In this diverse environment one of the market leaders is IBM Tivoli Monitoring (ITM), a longtime mainstay in the monitoring space because of its stability, diverse feature set, wealth of integrations with IBM and 3rd party technologies, and overall platform maturity. One of the facets of ITM that makes it so desirable for a large enterprise is the diversity of the platforms that it has the ability to monitor and manage, via the many “agents” produced by IBM and it’s partners. With that in mind we are very excited to discuss with you some of the exciting new features contained in the latest version of the ITM for Virtual Environments XenApp Agent, version 7.2 – a solution that Blue Medora co-develops with IBM.In version 7.2 the ITM for VE XenApp Agent retains all of the functionality of the previous version, version 7.1, so administrators can still quickly see an overview of their individual XenApp servers , wrapped up in a single location. 7.2 introduces two new capabilities that dramatically expand the scope and depth of the XenApp agent.
YoichiroIshii 200000494W 4,009 Views
I would like to inform you that SmartCloud Monitoring v7.2 demo videos became available on YouTube (13 demo videos). The 13 demo videos are "Product Introduction" demos and cover most of the major or the key enhancements introduced by SmartCloud Monitoring v7.2. So, if you see these demo videos, you will be able to understand "What's New" in SmartCloud Monitoring v7.2.
The following link shows the SmartCloud Monitoring v7.2 Demo Playlist on YouTube, where you can see all the 13 demo videos.
We need your feedback on these demo videos and the way to deliver these; please send me (email@example.com) your feedback!
FYI. The following shows the list of SmartCloud Monitoring v7.2 demo videos in YouTube and the URL for each demo video.
SmartCloud Monitoring v7.2 Demo: Cisco UCS Agent and Citrix Xendesktop Agent Enhancements (http://youtu.be/t4jZZT72tKE)
SmartCloud Monitoring v7.2 Demo: VMware VI Agent Enhancements (http://youtu.be/64OvOWE56nk)
SmartCloud Monitoring v7.2 Demo: Capacity Planner for VMware Enhancements (http://youtu.be/eNN0f1vZSpo)
SmartCloud Monitoring v7.2 Demo: Tivoli Common Reporting Enhancements (http://youtu.be/8IuLwtwuEqg)
SmartCloud Monitoring v7.2 Demo: Dashboard for VMware Enhancements (http://youtu.be/PpAF8ZWYK5Q)
SmartCloud Monitoring v7.2 Demo: Capacity Planner for PowerVM - Load Configuration (http://youtu.be/UbtqRcG6-po)
SmartCloud Monitoring v7.2 Demo: Capacity Planner for PowerVM - Policy Based Sizing (http://youtu.be/POWPxuk3f6I)
SmartCloud Monitoring v7.2 Demo: Capacity Planner for PowerVM - Compute Usage (http://youtu.be/FVLNsDM2jiE)
SmartCloud Monitoring v7.2 Demo: Capacity Planner for PowerVM - Generating Sizing Recommendations (http://youtu.be/K0rpcwKW8Cc)
SmartCloud Monitoring v7.2 Demo: Capacity Planner for PowerVM - Utilization Reports (http://youtu.be/1yYWV2XiVEI)
SmartCloud Monitoring v7.2 Demo: Capacity Planner for PowerVM - Installation and Configuration (http://youtu.be/gOVsb6xKgZs)
SmartCloud Monitoring v7.2 Demo: Citrix XenApp Agent Enhancements (http://youtu.be/42GXr3w5FiY)
SmartCloud Monitoring v7.2 Demo: Citrix XenServer Agent Enhancements (http://youtu.be/RqfLJSmMdjk)
Manager, IBM Tivoli Monitoring Framework Development
cynthyap 110000GC4C Tags:  cloud-computing orchestration cloud virtualization openstack 6,299 Views
Even if you weren’t at IBM Pulse, trending right now on the web is chatter about IBM’s announcement to leverage open technologies pervasively in the development of its cloud offerings.
With IBM SmartCloud Orchestrator—an integrated platform to standardize and manage heterogeneous hybrid environments—IBM is launching its first commercial offering based on OpenStack. And with SmartCloud Orchestrator, IBM is also redefining the scope of orchestration to encompass the streamlining and integration of all resources, workloads and services.
The need for this kind of capability is addressed in the latest IDC report which discusses why it will become a priority as organizations look to improve operational efficiency and reduce the mess and complexity of growing data centers.
The ability to standardize and automate cloud services includes integrating performance and capacity management, usage and accounting, and rich image lifecycle management. In addition, services and tasks such as compute and storage provisioning, configuration of network devices, integration with service request and change management systems and processes can all be streamlined. Out-of-the-box robust workload patterns also enable fast development of cloud services.
With SmartCloud Orchestrator, it’s all brought together to seamlessly manage heterogeneous environments, allowing organizations to build on existing investments and open source technologies.
If you haven’t had time to catch up on what’s trending, here’s the short version on how IBM is helping to advance the cloud to drive innovation.
Here at Pulse the best part, for me, are the client conversations. The efforts of clients to understand our IBM categories and for me to understand the customers’ scenario have led to interesting exchanges and raised some strange questions. Talking to a business partner, I found myself asking "What is the shape of your computation?" Does it look like a banana or a dolphin? A whale tail or a multi-drop jet? A rhizome or a Pacific atoll map?
Does it matter? It is certainly a useful insight to visualise the general shape of how the business flows unfold. When using a workload automation tool, each action becomes a unit of work. These units of works are linked together by the conditions and dependencies that sequence their execution in the right order. When large graphs of such units of works are built and executed, the layout of thousands of small units of work can take the most diverse shapes, and that shape tells something about what is being accomplished. The case of this Business Partner and his project with Big Data and massively parallel micro-ETLs, makes no exception to that rule.
Big data projects have shown their capability to extract insight from data through powerful operators and clever data transformation, but often the result needs data cleaning, preparation, and looks experimental unless an important polishing effort is applied. In fact, multiple analysts have recognized the need for Big Data to become more automated and repeatable in order to serve as key input into decision making, especially if the kind of decision making is disruptive to mainstream practice.
That is where the origin of the data sources, the sequence of the processing steps and the conditions that link the local "islands of processing" become of importance to stabilise the global calculation map, share a common understanding about how insight is constructed and lead to agreement about the right way to proceed. This interesting article warns that the quantity of applications and systems involved in information management is the first obstacle to address, and can easily be worsened by the use of Big Data powerful systems.
So the shape of your computation indeed provides a visual cue to resolve the next challenge of fruitful usage of Big Data, and it is probable that by using such graphical representation we collectively build better pattern recognition and discussion capabilities, like "Oh yes, your streams are too thin, you might have forgotten some data correlation."
Someone might think a rocket scientist is needed to display that "computation shape," but solutions for Workload Automation provide such images automatically, among other benefits, when business processes are described into it. As business processes are described once to be repeatedly executed, they will be triggered automatically with a lot of fringe benefits including:
In short, Workload Automation provides governance over even the most complex systems and a set of tools designed to take the conversation to the next level -- above daily operations and experimental setups -- whether the system handles Big Data, SAP jobs or a robotic tape arm. Providing Visibility, Control and Automation over numerous business flows is called Unattended Automation, and the new pressures created by Cloud and Big Data have raised attention on it to a high level.
cynthyap 110000GC4C Tags:  cloud-computing virtualization orchestration openstack cloud 5,137 Views
Determine the right cloud orchestration strategy to address the unique needs and pain points of your organization while increasing productivity and spurring innovation. And learn more about the recently announced orchestration capabilities from IBM that leverage OpenStack to manage heterogeneous hybrid environments. Sign up today!
My team and I have been heads down working to get Smart Cloud Orchestrator, our newest cloud offering, to market. Last week we had our annual Pulse conference in Vegas. I'm just recovering from its aftermath now and wanted to write a short blog about the experience. It should be no surprise that folks like James Governer of Redmonk offered some interesting perspectives along with Infoworld, and Wired. While I am very pleased to hear the overwhelmingly positive press coverage, I am truly stoked about the direct customer feedback I got during the event.
Between sessions, Vegas dinners, and the occasional shut eye, I had a lot of customer meetings. Since we first announced our involvement with OpenStack, Chris Ferris, Todd Moore and I have been meeting with customers all over the world. Most of these discussions were with customers already working with OpenStack on their own. Last week, we had the band together again meeting with customers together and independently. What was interesting for me was that it's no longer just the bleading edge early adopters! Many customers are realizing that OpenStack is the future of the datacenter and they don't want to get left behind. Similarly, more and more of our enterprise customers have seen the benefits of DevOps and its relationship to cloud technologies. Things really have changed a lot during this past year!
While standardizing on the IaaS is a critical first step, I was thrilled to hear how many customers are using Chef and/or Puppet These arguably represent the second step towards the fruits of DevOps. It really feels like we're finally ready for the next step in this journey. Ironically, less than two weeks before Pulse, OpenStack Heat was voted in as a core OpenStack project after a year of incubation. Heat was started by RedHat as an open source implementation of Amazon's Cloud Formations which enables users to easily combine multiple cloud resources together to form more meaningful solutions, applications, or services. Just as OpenStack compute moved past its original Amazon compatible APIs onto its own truly open APIs, I expect we'll see the same evolution in Heat. In fact, there is already an Oasis standards technical committee working on this very problem called TOSCA. I really think these two efforts need to converge so that TOSCA is the open standard specification and Heat is the open source reference implementation. The Heat team has been talking about this since its inception.
I really liked the way Jesse Andrews, one of the OpenStack founders, put it. Jesse has long been using the analogy of the linux kernel to describe OpenStack and does not want it to stray from this for its own good. When we talked about heat last week he again used an analogy from linux. This time he chose the debian package manager tool APT to describe heat as the package manager for the cloud operating system. I think this is a brilliant analogy, because the success of any operating system hinges upon the applications that run on it. Similarly, the value of cloud is in the applications or services that run on it.
I'm excited about heat and I'm looking forward to the next OpenStack summit to discuss its evolution. Our Smart Cloud Orchestrator is all about open reusable automation content. Be it native packages, chef recipes/cookbooks, virtual images, TOSCA templates, or BPMN standards based runbooks we want our customers, partners, and open source communities to be able to share and reuse cloud automation. I hope heat and TOSCA become the enabler for distributing and operating cloud applications and services. Anyone interested to help on this, please contact me and join me next month at the Havana summit!
p.s. Another great quote from Jesse was that he said SCO was "like Visual Basic for the cloud"! Not that I'm a fan of VB, but I do like the analogy.
Reposted from the Blue Medora blog entry: Introducing the ITM for Virtual Environments XenApp 7.2 Agent
In the Citrix environment the license server is a critical component that meters the distribution of license throughout the environment, so the first feature we would like to highlight is XenApp License Server Monitoring. The License Server monitoring feature is displayed with-in it’s own sub-node and displays detailed metrics on configuration, CLS Events, and most importantly license availability and usage . XenApp License server monitoring allows an administrator to easily, and quickly gain insight into their licensing without ever having to navigate away from a Tivoli Enterprise Portal Console. Conversely the XenApp 7.2 agent also gathers an extensive amount of warehouse data, which can be aggregated by reporting tools such as Tivoli Common Reporting.
The second feature we would like to highlight is the newly-added remote farm monitoring functionality. With this new functionality, an administrator is now able to install the XenApp agent on a Windows System anywhere in the Domain and monitor a XenApp Farm remotely along with high-level dashboard views of the XenApp Zones, WorkerGroups, and shared XenApp Applications, with no additional software footprint on the XenApp Server. The new XenApp remote farm node provides additional workspaces for applications, farm, worker group, and zone information. In addition to standalone remote monitoring, version 7.2 can also provide remote farm monitoring, license server monitoring, and local monitoring all from a single agent instance.
The ability to seamlessly gain insight into an entire XenApp deployment through a single pain of glass and with only a few clicks is an exciting proposition for both administrators and managers alike. In the subsequent posts in this blog series on the XeApp v72 Agent, we will explore in more detail some of the features that we have briefly discussed above. We will go in depth, and provide examples of how the 7.2 Version of the ITM for Virtual Environments XenApp Agent will help to streamline your infrastructure monitoring and increase productivity and efficiency, all through the IBM Tivoli Platform that IT professionals and managers alike can depend on.