Tags:AIOps, Analysis, Artificial Intelligence, Performance, Site Reliability Engineer and SRE
Abstract:
Learning Objective : SRE enablement for Artificial Intelligence(AI) Operations (AIOPS), catalyzing complex environment orchestrations, bridging organizational silos, fine tuning AI solutions, and intertwining the associated technology for continuous, full scope integration and seamless delivery.
Collection of data and analyzing manually is a humongous task considering the amount of data collected through logs, tickets and root cause analysis and other sources. We at AppOps come up with a AI way of assessing the infrastructure dependencies, ticket trends and heated problem areas.
This solution provides a graphical view through AI on the current, trend and future problems that the application, server and other components in the architecture which will not only help the operations team to predict but also allow them to take actions much before the problem that may occur. This is a crucial part of site reliability engineering to make the system available most of the times.
About Presenter: Atul Kumar is an Offering architect for Monitoring and automation with overall IT experience of 12+ years. He has extensive experience in designing and successful implementation of complete ISM chain for various internal IBM and commercial clients having application spread across multiple clouds.
Nagaraj is a Certified Senior IT Architect with over 20 years of experience. He is a member of the Technical Experts Council India and has experience in various technologies in the areas of Cloud Platform (IBM, Red Hat, AWS), JEE, C++ and many more. He is a practicing SRE contributed to many client engagements and setup the SRE practice in GBS CIC.
About Co presenter: Akansha is a Lead Business Analyst with over 8 years of experience. She is ASQ(American Society of Quality) Certified Six Sigma Black Belt and has worked on various six sigma projects.
SRE enablement for Artificial Intelligence(AI) Operations (AIOPS)