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Enable Automated Big Data Workloads with Cisco Tidal Enterprise Scheduler

In our previous big data blogs, a number of my Cisco associates have talked about the right infrastructure, the right sizing, the right integrated infrastructure management and the right provisioning and orchestration for your clusters. But, to gain the benefits of pervasive use of big data,  you’ll need to accelerate your big data deployments and make a seamless pivot of your “back of the data center” science experiment into the standard data center operational processes to speed delivery of the value of these new analytics workloads.

If you are using a “free” (hint: nothing’s free), or open source workload scheduler, or even a solution that can manage day-to-day batch jobs, you may run into problems right off the bat. Limitations may come in the form of dependency management, calendaring, error recovery, role-based access control and SLA management.

And really, this is just the start of your needs for full-scale, enterprise-grade workload automation for Big Data environments! As the number of your mission-critical big data workloads increases, predictable execution and performance will become essential.

Lucky for you Cisco has exactly what you need! Read More »

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How Is Cisco IT Benefiting from Application Centric Infrastructure?

Cisco IT has already started reaping the benefits of Application Centric Infrastructure (ACI) from our early internal deployments. Cost savings rank high, in decreased operating expenditures through automation enabled by ACI and the sharp reduction of manual processes that introduce human errors and operational risk.   Read More »

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Cisco ACI Fabric Simplifies and Flattens Data Center Network

On July 18th, Cisco IT turned on the first deployment of Application Centric Infrastructure (ACI) fabric at its engineering data center in San Jose. By using ACI fabric to simplify and flatten the data center network, we can reduce network operating costs as much as 55 percent and incident management roughly 20 percent. Take a peek at the ACI fabric inside our engineering data center:  Read More »

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Announcing Cisco Tidal Enterprise Scheduler (TES) 6.2


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.

UntitledEnd-to-end Workload Management with Tidal Enterprise Scheduler (TES) 6.2

With the release of TES 6.2, Cisco continues its leadership in workload automation (WLA) and job scheduling. With hundreds of in-production customers, running complex workloads for global trading exchanges, manufactures, health care providers and technology companies, Cisco TES has proven itself in some of the most demanding data centers in the world.

Already known and cited by analysts and customers for its ease-of-use, ease-of-installation, scalability and enterprise-wide visibility, Cisco TES 6.2 ships with major performance enhancements, added user management flexibility and greater infrastructure management reach. Enhancements in this release include:

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.

Untitled1Job 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.

Untitled2Lightweight 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.

Cisco TES and Big Data
TES supports end-to-end workloads that include Big Data business processes. This release strengthens our support for Apache Hadoop, Cloudera as well as MapR. If you are traveling to San Jose for the Hadoop Summit next week stop by our booth (Cisco is a Platinum Sponsor) to see the latest Cisco solution designed specifically for the Hadoop platform. See Scott Ciccone‘s blog post for more details.

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June 3-5, 2014 --San Jose, California

 

Questions? ask-tes@cisco.com

For more on the TES 6.2 release visit http://www.cisco.com/go/workloadautomation

Data Center blogs I follow:
Raghunath Nambiar
Scott Ciccone

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Cisco IT’s Road to Application Centric Infrastructure: Organizational Readiness and the Program Team

Cisco IT is early in the journey to deploying an application centric infrastructure (ACI). This journey requires us to look at the IT organization differently. When we started evaluating what it would take to align applications to the network, we quickly realized that our organizational structure wasn’t favorable to extracting the most value from ACI. We needed an architecture team that represents all seven layers of the OSI stack, and works in sync to create tenets and policies and classify applications that conform with how we ultimately want to build out the fabric. ACI requires a completely different view of the relationship (along with a common syntax and language) between IT infrastructure and applications.

Read More »

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