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 4th webinar in the capacity management series, which delves into how you can characterize your workloads to identify the best type of VMs different pods should run onto. Identifying whether your containers/pods are CPU, memory or I/O oriented is key to proper capacity planning. Working with Kubernetes Node Pools and planning them according to your application’s profile and performance needs is critical for efficient cluster-level scalability.
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.