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."