ZeroStack Launches AI Suite for Self-Driving CloudsFebruary 6, 2017
ZeroStack, the leader in making self-driving private cloud affordable for all companies, today announced its roadmap and first suite of artificial intelligence (AI) capabilities derived from machine learning. These capabilities build the foundation for self-driving clouds, making deploying, running, and managing on-premises cloud as ‘hands off’ as using a public cloud. Aimed at empowering application developers, other on-premises clouds require major investments in IT infrastructure and internal skills. ZeroStack’s intelligent cloud platform leverages self-healing software and algorithms developed from over one million datagrams. This economic disruption unleashes businesses to choose clouds for application development based on data locality, governance, performance and costs without technology adoption restricting their choices.
"With ZeroStack’s vision for automated cloud, and this first release of real capabilities, I believe they are the only credible cloud vendor to employ artificial intelligence in the service of enterprise customers," said Torsten Volk, senior analyst at Enterprise Management Associates. "Given the increasing complexity of IT operations, deploying AI is an optimal way of managing costs."
"The future of the datacenter is AI because fewer and fewer companies want to manage any infrastructure. As a result, the responsibility to manage increasing complexity is shifting from the customer to the vendor," said Dr. Jim Metzler, principal analyst at Ashton, Metzler and Associates. "By incorporating AI technology into their software, ZeroStack is at the forefront of these tidal changes in IT."
ZeroStack’s AI Suite
Designed by senior engineers from VMware and Google, ZeroStack’s intelligent cloud platform collects operational data and leverages machine learning to help customers make decisions about capacity planning, troubleshooting and optimized placement of applications. ZeroStack’s vision is to extend existing functionality in three phases:
- First, a suite of capabilities that deliver the self-driving capability in three levels of ‘cognitive’ capacity planning, a state machine to perform ‘hands-free’ upgrades, and ‘intelligent’ optimization, to manage virtual machine (VM) sizing. These capabilities guide the user to optimized use of infrastructure.
- Next, ZeroStack will release a cloud optimization suite, including a broker that will assist with workload placement for best cost / performance outcomes.
- The third component is automated performance troubleshooting. The capability will assist in identifying the root cause of application performance issues, such as correlating application performance with CPU, memory and IO metrics and identifying anomalies that may have caused poor performance. These capabilities can also be used to detect potential security issues.
"ZeroStack has continually worked to reduce IT’s I&O burden for enterprise customers, and our AI software strategy points the way to the future of IT operations," said Kamesh Pemmaraju, vice president of product management at ZeroStack. "As placement and management of customer workloads increase datacenter complexity, AI will be a key requirement for cost-effective management, and we are at the forefront of using this technology."