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YotaScale Announces Industry-First Autonomous Cloud Operations Platform
YotaScale announced the general availability of its customer-proven, AI-powered cloud operations platform. YotaScale delivers Autonomous Cloud Operations with a platform that provides intelligent, actionable insights to cloud operations, allowing teams to take ever-changing application needs into account and optimize the infrastructure to meet business needs.

The YotaScale platform has already been selected and deployed by several enterprise customers, including AdRoll, Expedia, ProtectWise and Reltio. In addition, the company announced an $8 million Series A financing round led by Crosslink Capital, bringing the company's funding total to $11.6 million.

"Today's enterprises are struggling as cloud operations get more complex by the day," said Asim Razzaq, CEO and co-founder of YotaScale. "The average enterprise has more than 25 tools for managing cost, performance and availability for cloud workloads. Plus, companies spend 30 percent of their cloud operations time on manual tasks that should be automated. * Our objective with Autonomous Cloud Operations is to bring intelligence to cloud operations, giving enterprises increased visibility and actionable insights that minimize time-to-resolution and save cost."

Autonomous Cloud Operations in Action: The YotaScale Platform

The YotaScale platform makes Autonomous Cloud Operations and self-managing cloud infrastructure a reality, boosting enterprise cloud computing efficiency in the process. YotaScale automates performance management, allowing enterprises to optimize their cloud infrastructure to gain the most value from their public cloud investment. YotaScale's AI-powered capabilities, such as anomaly detection, continuous optimization, contextual analytics and predictive capacity planning, allow enterprise customers to optimize cloud workloads for cost, performance and availability.

Customer-Proven Platform

Several leading enterprise customers, including AdRoll, Expedia, ProtectWise and Reltio, have deployed YotaScale in production to manage their public cloud. Unlike cost reporting and other legacy tools, the YotaScale Platform applies AI and machine learning for next-generation, real-time cloud infrastructure optimization. The platform guides customers through various stages of cloud maturity, ensuring that every cloud deployment adheres to a company's cloud operations policies, thereby helping achieve and maintain governance with those policies." The YotaScale Platform detects anomalous trends, diagnoses the root cause, suggests fixes and can even make predictions about future usage patterns.

"Unlike other tools in the market, YotaScale demonstrated that their AI models can provide proactive cost control by catching unusual spikes in real time," said Valentino Volonghi, CTO at AdRoll. "Its anomaly detection capabilities catch runaway cloud spend immediately, alert appropriate teams and provide deep root-cause analysis so that problems can be remediated quickly."

The YotaScale Platform uses models that have been tuned using cloud data from hundreds of enterprises. YotaScale's "secret sauce" is a multi-step, machine learning pipeline tuned over three years on 500+ PB of data across hundreds of enterprises. The YotaScale Platform also streamlines cloud operations; workflows are integrated with existing Cloud Ops tools including Slack, JIRA, PagerDuty and more.

New Funding Underscores Company Vision

YotaScale recently closed an $8 million Series A round of funding, bringing total funding to $11.6 million. Investors include Crosslink Capital (Matt Bigge), Pelion Venture Partners (Chad Packard) and Engineering Capital (Ashmeet Sidana). YotaScale also secured a $3.6 million venture round in 2017 from Engineering Capital, Pelion Ventures and angels Jocelyn Goldfein, Timothy Chou and Robert Dykes.

"Limited visibility into cost and performance can cost companies millions of dollars and waste thousands of hours," said Matt Bigge, Partner, Crosslink Capital and new YotaScale board member. "YotaScale is addressing this cloud infrastructure pain point with Autonomous Cloud Operations, which provides needed insight into cloud computing environments. The company has deep infrastructure knowledge in enterprise infrastructure, cloud computing and machine learning and is well-positioned to lead the future of cloud operations."

Published Wednesday, November 07, 2018 9:03 AM by David Marshall
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