It’s close to 11 p.m. on the last day of the quarter in a large corporation. IT gets an urgent request to postpone a closing of the books process because there’s a large order stuck in the CRM system.
This means that the order won’t hit the books and be recorded as a booking. The customer won’t get her order, the salesperson won’t get paid, and finance will show a missing number.
This generates an urgent call to the team that manages the workload automation platform: Hold the closing workflow! Stop the presses!
The admins have to get to their console to find the job and pause it. Not a huge deal, except there are thousands of jobs to be run and hundreds of business people calling on a regular basis, at all kind of hours.
Some customers have created help desks for their workload automation teams or they may even off-shore the call center to serve these kinds of requests.
No more. Introducing self-service for workload automation.
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Tags: data center, intelligent automation, job scheduling, orchestration, Tidal Enterprise Scheduler, unified management, workload automation
Last night we uploaded version 6.1 of Cisco’s Tidal Enterprise Scheduler. I’m pretty excited to introduce the new functionality of this tool and there’s a lot. Particularly with Hadoop support and Amazon EC and S3 support as well. If you are unfamiliar with TES, the datasheet is here.
But when talking about big data, I thought, I’d start small. Like iPhone small. Existing Scheduler customers and the curious, can download the free Apple iPhone app to control jobs. Here’s the AppStore description and link
Cisco Enterprise Scheduler is the premiere job scheduling and process automation software that provides a single point of control and monitoring for business operations. Enterprise Scheduler for iOS now allows Scheduler administrators and users to monitor and control their operations directly on their mobile devices. Enterprise Scheduler for iOS was designed for the mobile user experience, but retains core features of the Enterprise Scheduler web client that users are familiar with including:
* Monitor and view jobs, connections, events, schedules, queues, logs and alerts.
* Control all aspects of jobs, including holding, rerunning, canceling, and overriding jobs.
* Powerful search and filtering for all Scheduler objects.
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Tags: cisco enterprise scheduler, Hadoop, intelligent automation, iphone, Tidal Enterprise Scheduler, unified management, workload automation
In my last installment on Cisco Tidal Enterprise Scheduler, I talked about how our customers have increased their usage of this end-to-end solution by 2-3x.
Based on the upswing of Big Data usage and adoption in the market, this trend is likely to continue for quite some time. And Cisco finds itself with the right solution at the right time.
I’m live here from Strata Conn/Hadoop World 2012 in New York City where “Strata Conference explores the changes brought to technology and business by big data, data science, and pervasive computing. This year, Strata has joined forces with Hadoop World to create the largest gathering of the Apache Hadoop community in the world.” It’s THE place to be for the Big Data and Hadoop geek out.
At this sold out event Cisco is introducing our new 6.1 release of Cisco Tidal Enterprise Scheduler. This new release is packed with new features such as a very cool iPhone app, integration into Amazon EC2 and S3 and a self service portal (stay tuned for more blogs on this later). It also includes a new Hadoop adapter with API integration into Sqoop, Hive, HDFS Data Mover and MapReduce.
What’s that you say? Enterprise workload automation for Hadoop clusters? Why would I need that?
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Tags: Big Data, intelligent automation, workload automation
Steve Watkins, Guest Blogger
Steve Watkins is a Consulting Systems Engineer for Cisco Intelligent Automation for Cloud. He came to Cisco as part of the newScale acquisition in 2011. He has been helping customers manage the migration to IT as a Service (ITaaS) since 2004.
Showback and Chargeback have become increasingly hot topics for IT, especially infrastructure teams. This is fuelled at least in part by the general acceptance of cloud computing, including private clouds and SaaS applications. Chargeback (and even Showback) are great ways of affecting behavior of the consumers of IT. It keeps consumers from demanding an unreasonable amount of services, and encourages them to use of what has already been invested in. There is also a growing mandate from Finance to make IT accountable for its spend, or at the very least to justify any requests for further investment. So infrastructure teams find themselves in the unexpected position of defining prices for the services traditionally offered. Most have no idea where to start.
Several vendors have produced offerings to help manage the showback/chargeback business case. This post will not discuss any vendor in detail. Instead, I want to talk about philosophy.
Broadly speaking, there are two major approaches to creating a price model for IT. There is the Utility-based model, in which pricing derived from actual consumption of CPU cycles, RAM, bandwidth, storage, etc. In this model, if you stood up a virtual machine for one week you would only pay for the actual amount CPU cycles and storage you consumed.
Alternately, there is Service-based pricing, which advocates a fixed price based on either the service itself or some other unit of measure such as hours, etc. In this model, if you stood up a virtual machine for one week you would pay for how many hours the VM was active, whether you used it or not.
I always council my customers to adopt service-based pricing. I think utility-based pricing is the wrong approach for IT departments, especially infrastructure teams. Here are my reasons:
1.INFLEXIBLE – Utility pricing is asset based, and therefore assumes that the assets will remain more-or-less the same. The model breaks down when you introduce changes, like renting infrastructure from public providers or changing service levels. What about if I offer VDI next year? That may mean two different types of pricing models, which gets even more complex. A service-based pricing scheme works with all services.
2.POOR CAPACITY MANAGEMENT – by only charging for the CPU cycles you actually consume, it encourages users to stand up systems and leave them in place.. which is exactly what we don’t want. Think of renting a car: you rent a car for 4 days but only drive it for a total of 3 hours, you still have to pay for all for days. If I just paid when I actually drove it, I would keep it all the time. We want to encourage users to return unused assets. Which leads to..
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Tags: chargeback, Cisco Cloud Portal, cloud, Cloud Management, cloud_computing, data center, intelligent automation, private cloud, service based pricing, unified management, utility based pricing
In case you are still in denial, we entered the 3rd week of our 6 weeks long Unified Data Center IQ Challenge . Since Sunday midnight PST , you can find on www.Facebook.com/ciscodc , a new set of questions , focused this week on Cisco Intelligent Automation and OpenStack .
Don’t tell me that you can’t answer at least one question ! Remember that only one correct answer makes you eligible to participate to the raffle for the iPAD.
So now , let me help you a little bit more to thank you for being on this blog -- Why don’t you check the last blog of Rodrigo Flores about the announcement
Cisco Intelligent Automation for Cloud -- OpenStack support (And AWS, vCloud, vCenter) -- I bet it can’t hurt .
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Tags: Cisco, cloud, data center, intelligent automation, OpenStack, Unified Data Center IQ