Using Machine Learning Analytics to Help Meet SLAs

Jerry Melnick
SIOS Technology

The first post in this two-part series introduced machine learning analytics as a new way to find and fix the root cause of performance problems to help meet SLAs. This post explains three ways MLA can be used to better utilize resources for optimal performance.

The first way MLA helps make certain needed performance is delivered while optimally use resources is by providing the accurate information needed for IT to tune VM configurations settings. IT managers today have poor insight into the causes of poor application performance. To be extra careful, they often throw a lot of hardware at the problem in an attempt to avoid the possibility of starving the applications.


Recent News & Press

Step-by-Step: Configuring Amazon EC2 for Business-Critical...

How to prepare your EC2 infrastructure to span two different regions — the first step in ensuring your business-critical applications can endure the failure of […]

Read More

New SIOS LifeKeeper for Linux Version 9.6.2 Adds Support for the...

SAN MATEO, CA – September 26, 2022– SIOS Technology Corp., an industry leader in application high availability and disaster recovery, today announced the immediate availability […]

Read More

SIOS Technology Adds More Speakers to Its Lineup at the Second Annual...

SAN MATEO, Calif. – September 19, 2022 – SIOS Technology Corp., an industry leader in application high availability (HA) and disaster recovery (DR), today announced […]

Read More