In a landscape where things change constantly, be it the hardware, software, or workload and performance profiles, how do we maximize resources and minimize the cost to serve?
Change is the only constant in the software industry. Chip technology introduces better and faster servers every year. Customer demands lead to code changes on a daily basis. Software usage changes with new features being added with every new release. This is a nightmare scenario for a performance engineer who has to ensure that the end system is high-performing, stable, and set up such that resources are being utilized at a maximum while cost to serve is low.
This session will talk about the challenges and solutions to accomplish this ultimate goal.
Tuli Nivas, Principal Performance Engineer, Salesforce
San Francisco, CA
For existing members sign in here.
Using “z” data for Mainframe analytics & The loss to your business if you...Find out more
Neil Gunther, M.Sc., Ph.D., is a world-renowned expert, the author of several books, and the...Find out more