ZeroStack Touts AI Suite for Self-Driving Clouds
February 6, 2017
has detailed its road map 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
data grams. This economic disruption
unleashes businesses to choose clouds for
application development based on data
locality, governance, performance and costs
without technology adoption restricting
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.