Spark on Kubernetes - Best Practice and Performance
CNCF [Cloud Native Computing Foundation] via YouTube
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This talk explains how to offer Apache Spark as a service on Kubernetes and tune Spark and Kubernetes configurations for resource use and performance. It uses TPC-DS workloads to show the effects of configuration changes and discusses multi-tenancy and high availability.
Syllabus
Introduction
What is Spark
Why do we need Kubernetes
Architecture
Spark Application
Spark on accumulated status
Applications
Storage
Service
Structure
HDFS
Catalog
Highs
Environments
Benchmark Configuration
Benchmark Results
Data Locality
Our Experience
Summary
Taught by
CNCF [Cloud Native Computing Foundation]