Configuring Clusters: Optimizing PKS for Your Use Case

September 29, 2018

Pivotal Container Service (PKS) allows operators and application developers an easy, automated way to manage and use Kubernetes while maintaining flexibility. Operators are able to define cluster plans, which ensures a consistent `pks create-cluster` for application developers. Since these plans are shared, it is of vital importance for their configuration to be optimized for stability, performance, reliability, and resilience. In this talk, Angela and Nikita will highlight how operators can configure PKS to best fit their use case. We will highlight several new features in the latest PKS release, including multi-master, disaster recovery for the control plane, and workers spanning multiple AZs. Operators will learn how to best take advantage of these new features, as well as hear what's on the road map for improving configurability and stability in future releases! Speakers: Angela Chin Senior Software Engineer, Pivotal Nikita Rathi Nikita Rathi Software Engineer, Pivotal Filmed at SpringOne Platform 2018 Slides: https://content.pivotal.io/slides/configuring-clusters-optimizing-pks-for-your-use-case-2

Previous
Cloud-Native Streaming Platform: Running Apache Kafka on PKS (Pivotal Container Service)
Cloud-Native Streaming Platform: Running Apache Kafka on PKS (Pivotal Container Service)

SpringOne Platform 2018 Cloud-Native Streaming Platform: Running Apache Kafka on PKS (Pivotal Container Ser...

Next Video
Reducing Microservices Architecture Complexity with Istio and Kubernetes
Reducing Microservices Architecture Complexity with Istio and Kubernetes

Microservices are here to stay. When applied properly, microservices techniques and culture ultimately help...