Cisco Blogs


Cisco Blog > Data Center and Cloud

Workload Automation, Job Scheduling, Applications and the Move to Cloud

In an earlier part of my career I learned the extreme importance of Workload Automation, aka Job Scheduling.  Workload automation is the oldest IT technology on the planet coming from the need to schedule jobs on an IBM Mainframe.   Job Scheduling has evolved from driving JCL (Job Control Language) to Workload Automation where the Scheduler stitches together batch and real time activities across mainframes, proprietary OS systems, x86 systems, applications (both packages and commercial off the shelf such as SAP or Oracle or Informatica) and now web service enabled applications whether they be onsite or in the cloud.  Walk into the operations center of any data driven company and you will see multiple screens where operations are monitoring the state of these jobs.  Why are they so critical?  Over 50% of all transactions that occur on this planet are batch in nature.  They are scheduled based upon specific times or based upon dependencies being met.  These workloads can be a complex  and interrelated set of activities.  Effectively these job streams are the business processes that drive modern enterprises.

Without these jobs companies don’t get information (and large amounts of it) in the right place at the right time.  Most companies today could not close out their financial quarters without enterprise schedulers to move data from their disparate systems into a consolidate place for either the general ledger to close out or for a critical Business Intelligence report to run to drive placement of the correct product into the specific physical location to serve the global economy.  Workload automation tools open and close stock exchanges and process all the transaction data from trades.  They also drive compliance checks.  This is important stuff for the global economy!  This was my realization in touring key operations centers and realizing that half of the big monitors were covering the movement of batch data in the enterprise.

Read More »

Tags: , , , , , ,

Openstack, Big Data and Cisco Cloud Software at Cloud Connect Next Week

Next week is Cloud Connect in Santa Clara and Cisco’s Cloud Software group will have a big presence.

While we have plenty to talk about on how Cisco is helping customers build their cloud, we also want to listen to our customers plans and needs. We are bringing some of our engineers and architects so you can engage directly with them.  There are three things you can see next week.

CITEIS -- Cisco’s, in production, private cloud.

See how it was built, the results in agility and cost, and best of all see a demo. Not a fake demo but the real thing.

Of course, we will also be showcasing our award winning cloud automation software, Cisco Intelligent Automation for Cloud (CIAC) (formerly newScale and Tidal), which provides the self-service catalog and orchestration to our private cloud

Read More »

Tags: , , , , , , , , , ,

Informatica Data Integration and Cisco Tidal Enterprise Scheduler: Delivering Timely, Trusted, and Relevant Data for Business Intelligence Reporting

No doubt data is one of an organization’s most important assets. The trick is to turn it into timely and trusted information—information that can be used to rapidly uncover new markets, attract and retain customers, reduce operating costs, shrink time to market, and make smarter strategic decisions. In short, leveraging data can sharpen a company’s ability to navigate markets.

So when we combine Informatica’s world-class data integration platform with Cisco® Tidal Enterprise Scheduler, we are enabling organizations to gain a competitive advantage in today’s global information economy by empowering them with relevant and trustworthy information to support all their business decisions.

Read More »

Tags: , , , , ,

Mad Scientist Alert

Looking back, the market was probably caught off guard a bit by an acquisition of an automation software company by the worldwide leader in networking. Looking around, the market may still be wondering:  why was the acquisition made?    Did all that cash the financial analysts keep talking about finally burn a hole in Cisco’s proverbial head as well as pockets?

Infrastructure Alchemy

Neither conjecture is true, of course. As usual, Cisco mined the market for the next catalyst (pun fully intended) to transform its infrastructure, starting with the data center. The result was a formula for data center transformation that solves some of the most pressing problems in data center management both today and well into the future. Here’s the formula: take one compute platform highly tuned for on-demand cloud environments, add third-party application deliver, then perform a little fusion with support solutions that support the Day 2 operations requirements for automating manual tasks. The result is an automation of the many repetitive tasks that are now being done manually, allowing data center administrators to invest the majority of their resources in aligning IT operations with business goals and creating new ways to generate revenue rather than in just maintaining the infrastructure. Read More »

Tags: , , , ,

Understanding the Truth Behind Batch Processing in the Modern World

There is a myth that all data processing occurs in real time.  But the reality is that batch and event based processing are still very much alive and the majority of data processing is still done through batch processing.  Our average customer uses Cisco Tidal Enterprise Scheduler to execute ~50K jobs on a daily basis, but we also have large financial services companies automating the execution of over 100K jobs daily, not bad right?

So, with over 50 percent of all business processes leveraging batch operations, it is essential to keep your batch production running smoothly in order to keep your business running smoothly.  You cannot afford to have failed jobs.  Failure is not acceptable as it directly impacts the business and can impact revenue – such as the inability to process orders or to generate invoices.  What are we getting at here?

Read More »

Tags: , , , ,