Welcome back to this series of blogs on Cisco Validated Designs (CVD) for Cloud -- In my first blog, I talked with Tom Nallen on the concept and benefits of CVD for Cloud -- The second interview was with Laszlo Bojtos on a new CVD for Cloud : Cloud Service Assurance - Today we will explore one specific but critical aspect of this work, which is the integration of Cisco Intelligent Automation for Cloud and Zenoss Cloud Service assurance.
So obviously orchestration systems can make better decisions with performance KPIs, and can also be used to provide precise and immediate monitoring for newly created or changed tenant services. For advanced workflow integration, all Zenoss Cloud Service Assurance (CSA) function and data is available using the documented JSON interface.
As mentioned , this CVD also features the integration of Cisco Intelligent Automation for Cloud and Zenoss CSA as an example of how Zenoss’ API can be used with Cisco’s cloud management software. It shows IA for Cloud provisioning VMs while sending information about the tenant and VM to Zenoss to enable the creation of a dependency map.
Zenoss CSA is designed to make it easy to integrate Cisco Cloud infrastructure and cloud management software, Cisco Intelligent Automation for Cloud, into an existing data center. Zenoss CSA will be integrated with client’s MoM system and configured for automated event forwarding.
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Tags: Cisco, Cisco Validated Designs, cloud, CVD, data center, intelligent automation
My users are happy: Having clearly identified and targeted my end users (did I focus on business application owners, trusted business IT folks, IT solutions team, or my administrators?), I can see that the adoption of the cloud automation is growing. This does not mean they are able to do everything they want in my first cloud deployment, but it means they are getting value out of it and I can see the anticipated number of physical and virtual servers provisioned. I also see deprovisioning occurring. After a few months I might still see three times to the provisioning going on as deprovisioning. I also have other teams beyond the first deployment angling for their turn.
IT Operations / the Cloud Command Center are cautiously monitoring the people, processes and technology: Let’s face it, getting into production was intense and we had to make tradeoffs. We did not get everything we wanted in the first deployment. We cut the tape and users jumped in the cloud pool. We got lots of feedback. We tweaked one or two things; we got even more feedback. We breathed a sigh of relief. We looked forward to chapter two and built long lists of what we wanted. We adjusted our roadmap. We reviewed the success, learnings and failures with our management. We identified and quantified the ROI. We realized that we had lots of work to do. Our Data Center operational processes were so spread out among our staff. We had to think very clearly about managing the change from routine to strategic and how our workforce needed to transition to new roles.
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Tags: intelligent automation, orchestration, private cloud
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