Magalix’s 5-steps capacity management framework provides a clear and easy process to manage the capacity of Kubernetes clusters and cloud-native applications. This is our 3rd webinar in the capacity management series, which digs into the different considerations that software engineers, DevOps, and infrastructure engineers should have in mind while planning memory and CPU for their pods. There are 6 different gaps that teams must consider before they can move on to the VMs planning step
He accumulated 20 years of experience in distributed systems design and performance engineering. He has a Ph.D. in high-performance computing from UCONN. Mohamed worked at Amazon Web Services and shipped two EC2 products in addition to his work on fleet autonomy. He Also shipped two products at Microsoft AZURE focused on highly scalable cloud-based queuing systems and IoT backend. Mohamed has 13 publications in operating systems architecture and high-performance computing.