SOURCE: Pepperdata


August 09, 2016 11:00 ET

Pepperdata Names Veteran Technology Executive and Former Yahoo CTO Ashfaq Munshi as CEO

Longtime Technologist Will Lead Company as It Moves Aggressively to Scale Business and Expand to New Distributed Computing Environments

CUPERTINO, CA--(Marketwired - Aug 9, 2016) - Pepperdata, the world experts in the performance of distributed systems at scale, today announced that Ashfaq Munshi has joined the company as chief executive officer. Munshi has held CEO roles at several successful startups, as well as numerous other technology executive positions, including CTO at Yahoo, and brings over 30 years of experience to his role at Pepperdata. Cofounder and former CEO Sean Suchter will assume the position of CTO, working directly with customers to shape the next frontier of distributed computing performance.

Big data is prompting a shift from traditional server-based computing to distributed computing in the data center, particularly in the enterprise. Hadoop represents the first wave of this shift. Yet as enterprises embrace Hadoop they face growing pains associated with scaling in production. These challenges include underutilization, lack of predictable performance, and increasingly difficult troubleshooting. Pepperdata solves this gap by measuring and controlling Hadoop clusters in real time, thereby reducing complexity, improving utilization, increasing predictability, and making it much easier to problem solve. This unique capability has led to the company's 100 percent year-over-year customer growth for two consecutive years. 

"Ten years ago Sean was one of the first people to understand the transformative power of Hadoop for businesses, while it was being invented at Yahoo," said Ash Munshi, CEO, Pepperdata. "Pepperdata was born out of this experience and in just a few years the company has become the leader in distributed computing performance."

Munshi's expertise in large-scale processing and systems architecture across a variety of industries will be key as Pepperdata tackles performance challenges for a broad range of distributed computing environments. Most recently, Munshi was executive chairman for Marianas Labs, a deep learning startup sold in December 2015. Prior to that he was CEO for Graphite Systems, a big data storage startup that was sold to EMC DSSD in August 2015. Munshi has also served as CTO of Yahoo, a CEO of both public and private companies, and is on the board of several technology startups.

"Ash's reputation in the industry for strong, hands-on leadership has helped a long list of technology market leaders successfully scale their businesses, and is exactly what Pepperdata needs as we move to the next stage of growth," said Sean Suchter, cofounder and CTO, Pepperdata. "We're thrilled he has chosen to join Pepperdata at a time when the demand for distributed computing performance is only expanding. Ash's proven experience will help us continue to accelerate our market and customer momentum."

About Pepperdata
Pepperdata develops software that governs and guarantees consistent, peak performance of Hadoop clusters from hundreds to thousands of nodes. Enterprises, from Fortune 500 companies to SMBs, trust Pepperdata to deliver transparency and control over distributed systems, and eliminate blind spots in Hadoop environments. Pepperdata provides the only solution that can anticipate and avert cluster performance issues at both the user and job level to create order out of the chaos inherent in distributed computing. Its Adaptive Performance Core™ has predictive learning capabilities that can anticipate a cluster's performance by looking 30 seconds into the future to anticipate changing conditions. Pepperdata then uses this information to reshape application usage of CPU, RAM, network and disk without user intervention, so that jobs can complete on time. Pepperdata software dynamically prevents bottlenecks in multi-tenant, multi-workload clusters so that numerous users and jobs can run reliably on a single cluster at maximum utilization, increasing throughput by 30 to 50 percent. Job performance is enforced on the fly based on priority and current cluster conditions, eliminating fatal contention for hardware resources and the need for workload isolation. The software also precisely pinpoints where problems are occurring so that IT teams can quickly identify and fix troublesome jobs. By capturing global knowledge of each cluster and controlling processes second by second to deliver Quality of Service, the software reclaims control over unpredictable cluster environments so that enterprises can realize untapped value from existing distributed infrastructures. The distributed systems supervisor installs in under an hour runs on existing clusters, and is compatible with all major Hadoop distributions. With Pepperdata, organizations can put their big data to use in production to meet business objectives today and satisfy future use cases.

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