Introducing New Adapter for Cisco UCS Manager, Lightweight Java Client, Multi-domain AD/LDAP Authentication & Runtime User Support for TES Workgroups
Managing and automating mission-critical business process is key to the success of your enterprise. By managing the delivery of the right data to the right application at the right time you can ensure that everyone in your organization has the information they need to be successful.
End-to-end Workload Management with Tidal Enterprise Scheduler (TES) 6.2
Adapter for Cisco UCS Manager The Enterprise Adapter for UCS Manager allows users to schedule UCS Manager component infrastructure jobs through Cisco TES so that users can leverage the scheduler’s capabilities to automate, simplify, and improve job scheduling and workload performance. The UCS Manager Adapter integrates with UCS Manager using the XML API and provides for the automation of UCS Manager activities for blade and rack-mount server management in the form of UCS Manager jobs. This allows you to control and manages server instances as part of an overall infrastructure and data processing workload management solution.
Job Definitions for Cisco UCS Manager
Lightweight Java Client For power users who are managing thousands of workloads and their associated objects in their database, the Java client syncs data directly from the Master, but it is many times faster than the client manager because all data is stored in-memory on the Java VM rather than to an external database. Many interactions through the Java client will see marked increases in performance including smooth scrolling with zero latency and faster search and filtering.
Lightweight Java Client for TES 6.2
Flexible Security Feature For large enterprises that segment globally or for any user who creates domains for their data center, Cisco TES now supports multi-domain coverage from a single client manager allowing greater flexibility and ease of use. And for greater runtime flexibility, Cisco TES allows users to associate runtime users to workgroups to be used while defining the workloads.
Data in data warehouses doubles every 2.5 years. For users, this means more data to analyze, leading to better business outcomes. That’s the good news. The bad news is that this extra storage capacity and computing power comes at a cost. A high cost it turns out.
So what is an enterprise to do?
Keep writing bigger and bigger checks to the data warehouse vendor? At least the business can take advantage of the extra data?
Or should they move some of the lesser-used data to tape? That will save money. But it will also limit business access to this now “off-line” data which may mean missed business opportunities.
What if there was a third option that would preserve the on-line access for the business analysts and control these escalating costs for IT?
Log in here to access the presentations at Cisco Live on Cisco’s new Big Data Warehouse Expansion.
Cisco Big Data Warehouse Expansion is a new offering that combines hardware, software and services to help customers control the costs of their ever-expanding data warehouses by offloading infrequently used data to low-cost big data stores. Analytics are enriched as more data is retained and all data remains accessible.
Big Data remains one of the hottest topics in the industry due to the actual dollar value that businesses are deriving from making sense from tons of structured and unstructured data. Virtually every field is leveraging a data-driven strategy as people, process, data and things are increasing being connected (Internet of Everything). New tools and techniques are being developed that can mine vast stores of data to inform decision making in ways that were previously unimagined. The fact that we can derive more knowledge by joining related information and recognizing correlations can inform and enrich numerous aspects of every day life. There’s a good reason why Big Data is so hot!
This year at Hadoop Summit, Cisco invites you to learn how to unlock the value of Big Data. Unprecedented data creation opens the door to responsive applications and emerging analytics techniques and businesses need a better way to analyze data. Cisco will be showcasing Infrastructure Innovations from both Cisco Unified Computing System (UCS) and Cisco Applications Centric Infrastructure (ACI). Cisco’s solution for deploying big data applications can help customers make informed decisions, act quickly, and achieve better business outcomes.
Cisco is partnering with leading software providers to offer a comprehensive infrastructure and management solution, based on Cisco UCS, to support our customers’ big data initiatives. Taking advantage of Cisco UCS’s Fabric based infrastructure, Cisco can apply significant advantage to big data workloads.
I’ve been in this industry for more than three decades, and so I’ve experienced every data center technology breakthrough and market transformation in that time. We drove a market disruption ourselves with the introduction of Cisco Unified Computing System (UCS) in 2009, and after just five years, we have more than 33,000 customer-proven results.
Now, we’re doing it again, but this time it’s different.
We are in the midst of the next major inflection point, driven by a new wave of applications. With the swipe of a finger, users can download an endless array of useful apps to their smart phones, tablets, and even wearable gadgets. We bring our personal devices with us to work, expecting the IT department to deliver the same access and ease of use on the business side.
This consumerization of IT puts end users in the driver’s seat. Scrambling to meet growing consumer and employee expectations, organizations in both the public and private sectors have demands of their own when it comes to next-generation data center capabilities and improved outcomes. Applications need holistic compute solutions, not just plain old servers. The explosive growth of mobility, social media, collaboration, the Internet of Everything (IoE), and big data means their applications need to scale up and out.
Now applications must be serviced by compute solutions that can integrate performance needs, handle large data sets, and scale as needed while reducing operational complexity and OpEx budgets. The requirements of these complex business applications are defining the infrastructure—not the other way around—because now more than ever, application performance translates into business results. This requires fresh innovation in designing an integrated infrastructure that is highly responsive to business and IT needs, while keeping data center budgets from spinning out of control.
At Cisco Live, I’ll show you how we’re driving a market disruption once again, this time with our breakthroughs in compute solutions that we didn’t think were possible just a few years ago. Technology leaders agree that Cisco UCS and Cisco Application Centric Infrastructure (ACI) deliver solutions that put IT managers back in the driver’s seat, able to meet user demands, where applications are no longer constrained by the data center infrastructure.
It has been a great year for Data Virtualization at Cisco Live! Milan, Melbourne, and Toronto were fantastic opportunities to introduce Data Virtualization to Cisco customer and partner audiences. And we have saved the best for last with multiple activities at Cisco Live! San Francisco.
We kick things off on Monday May 18 with a by-invitation program for Cisco Data Virtualization customers and prospects. We start the day at 3:00 with a special pass to John Chambers’ keynote address. This is followed by a reception, data virtualization demo and tour in the World of Solutions hall. And we close the evening with a dinner at one of San Francisco’s finest restaurants. Participants in this program return on Wednesday night for a special performance by Lenny Kravitz. If you would like to join us, please contact Paul Torrento at firstname.lastname@example.org.
For those of you attending the full event, Data Virtualization is also featured in two sessions both entitled, Driving Business Outcomes for Big Data Environment. I will lead a quick summary session on Thursday at 11:15am, with Jim Green providing a deeper-dive technical session from 11:30-12:30 that day. In these sessions we will address one of the major issues organizations are facing as a consequence of exponential data growth – that is the huge expenses required to upgrade capacity in their enterprise data warehouses. To avoid this spend, customers are looking for lower cost alternatives such as offloading infrequently used data to Hadoop. In these sessions you will find out about Cisco’s complete solution with Unified Computing System hardware and Data Virtualization software and Services methodology.
Please also stop by the Data Virtualization booth in the Cisco Services pavilion where we can chat about your business outcome objectives and how data virtualization can help.