Ever wondered how easy or difficult it is to implement the two main features which bridge the gap between a self-managed cluster and an externally managed one - such as GKE / AKS i.e. Monitoring and Autoscaling ? What if we could achieve both of these with our self-installed clusters , and get the best of both worlds ? Get these decision making questions answered during the session where the speakers will be explaining the implementation and optimisation of Kubernetes monitoring using InfluxDb & Grafana and CPU/GPU autoscaling in a multi cloud environment using Kubernetes cluster Autoscaler.
Note- Basic knowledge of kubernetes and cloud is expected
This session will enable the community to get the hold of implementing kubernetes cluster monitoring using the open source version of Influx and Grafana . Also the session enables the audience to tackle multiple autoscaling challenges in a self managed large scale kubernetes cluster with high usage of GPU's in a multi cloud environment.
Understanding these major concepts of Kubernetes under the Devops Ecosystem will help the open source community to use open source tools in production more effectively and understand different tips, tricks and pitfalls.
