Kubernetes promises to run containerised workloads efficiently and at scale. It also provides auto-scaling features where the workloads can scale to meet the traffic demands. None of this is available by default. This demo will focus on architecting Kubernetes clusters for high-traffic websites or workloads. Attendees will see how Prometheus can be used to collect metrics from workloads. These metrics will then be fed to Kubernetes Pod Autoscaler using KEDA (Kubernetes Event-driven Autoscaling) to scale the pods to meet the demand automatically.
Appvia
MLOps Engineer
Salman works as an MLOps Engineer at Appvia and a Kuberenetes Instructor at Learnk8s. He has worked with a number of organisations in setting up Machine Learning platforms for teams to operate at scale. He is also a Certified Kubernetes Administrator and a strong advocate for Cloud Native technologies. He co-founded Cloud Native Wales, an initiative to bring together a community that shares ideas…
Cloud Native Computing Foundation
Organizer
CNCF
Organizer
Linux Foundation (CNCF)
Organizer
CNCF
Organizer
