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
Today, Big Data and Hadoop are arguably the hottest (and most mysterious) subjects in computing for most technology workers. Ask any person in IT about Big Data/ Hadoop and you’ll probably get a look of utter confusion. Here at Cisco, I’ve recently taken on the role of Product Manager for Cisco Tidal Enterprise Scheduler (TES) and part of my job is to help you face your fears and put your arms around the Big Data boogeyman.
Big Data’s growth in the market has exploded and it’s clear why: data-driven decision-making results in optimal business outcomes. With Big Data/ Hadoop, analyzing massive datasets has become easier and we glean new business insights, which can be a massive competitive advantage.
I just arrived in NYC for Strata Conference + Hadoop World 2012, where I’m part of the Cisco team here to show off the new 6.1 release of Cisco Tidal Enterprise Scheduler announced yesterday. With 6.1, Cisco TES includes Hadoop integration – to help our customers address the Big Data challenge and gain even more value from your infrastructure. The workload automation features provided by TES are an integral part of getting the most out of your Hadoop deployments.
At the Strata event, we’re featuring Cisco UCS servers and Cisco Nexus switches for Big Data as well as our Cisco TES support for Hadoop. To see Cisco TES and Hadoop in action, check out this online demo here. This demo runs on UCS and schedules a Hadoop MapReduce job every 15 minutes to track tweets at the conference – revealing the biggest Twitter topics and the most active tweeps in Big Data this week.
In addition to our support for Hadoop and Big Data, with TES 6.1 we’ve announced a self-service portal, support for Amazon Web Services’ (AWS) EC2 & S3 features, and an iPhone app. AWS support adds the advantages of cloud-based Hadoop by providing the scalability and agility to expand capacity as needed coupled with Hadoop’s analytical strength. Throwing TES 6.1 into the AWS mix provides automated, efficient provisioning of cloud resources.
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Tags: Big Data, data center, Hadoop Summit, Tidal Enterprise Scheduler, unified management
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
As a quick reminder , to participate to this 6 weeks challenge and have a chance to win every week a new iPAD , you want to visit our Facebook page. The questions are submitted on Sunday midnight PST, and answers have to be provided not later than Friday 12:00PM PST. Participation is easy and fun and allow you to collect points to compete for the highest IQ score. This best Unified Data Center “brain” will be the winner of the Grand Prize (valued US $2000). Every week-end (Friday noon to Sunday) you can answer bonus questions, which give you additional points to catch up for the Grand Prize.
The winner of week 2 (questions about Cisco Open Networking Environment
) was Mohamed Fawzy Saleh
who won a new iPAD. Mohamed is a student, very passionate by network technologies . Congratulations Mohamed!
From my point of view , one of the best quality of the high tech population is the thirst to keep learning in a fast changing and demanding environment . One of the intention of this challenge (game?) is to suggest every week questions to stimulate your curiosity.
My ask this week for you as we are moving to the next bonus questions for this weekend (Security -- See below) and week 4 (Virtualization) of the challenge is to tell us what you think about the set of questions. Did you learn? Did you find the questions interesting ? Just as a reminder, and for the new participants, here are the topics we covered so far.
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Tags: Cisco, data center, security, Unified Data Center, Unified iQ, unified management, virtualization
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