Bharath Aleti

Product Manager, UCS Big Data Solutions

Bharath Aleti is a product manager in Cisco’s Data Center Group, responsible for UCS Big Data Solutions, Strategy and Partner Ecosystem. He has over 14 years of experience in product management and engineering roles in enterprise software and systems. Prior to Cisco, Bharath  worked at Oracle and was responsible for bringing leading enterprise solutions to market - Oracle’s Exadata, SecureFiles, Advanced  Compression & Deduplication and GoldenGate Replication. He also held various engineering roles at HP, Zambeel (NAS startup) and Hitachi working on OS, Storage and Networking products. Bharath holds an MBA from Haas School of Business, UC Berkeley and MS in Electrical Engineering from Louisiana State University, Baton Rouge


September 22, 2015


Enhancing the Splunk experience with Cisco UCS

According to scientists, the age of smartphones has left humans with such a short attention span that even a goldfish can hold a thought for longer. On an average, human attention span has fallen from 12 seconds in year 2000 to 8 seconds in today’s smart-world. What does this mean for Splunk Enterprise ?

December 17, 2014


Cisco UCS is now Hortonworks “Operations Ready”

Cisco has been working closely with Hortonworks in delivering turnkey Big Data solutions that expedites the time to market for our joint Big Data Hadoop customers. Cisco’s industry leading UCS Integrated Infrastructure for Big Data, is designed to deliver performance at scale for a wide variety of Big Data workloads. We are working with Hortonworks […]

September 25, 2014


Unlock Big Data with Breakthroughs in Management Automation

Following on an excellent introduction to this blog series from Scott Ciccone on how Cisco’s solutions can help customers unlock the power of Big Data, this blog focus on management innovation that Cisco UCS brings to Big Data ecosystem. Access to more and better data is creating new sources of competitive advantage and it has […]

September 4, 2014


Solving the last mile in Hadoop deployment

A recent Gartner report quotes “More than 30% of all support tickets (for hadoop) are related to mis-configuration”. Despite the immense opportunity with Big Data, Customers deploying Hadoop clusters are still riddled with the complexity of deployment and manageability of Hadoop clusters at scale.  To make it worse, latent issues with incorrect configuration can impact […]