Remove apache-spark-on-kubernetes-how-apache-yunikorn-incubating-helps
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Spark on Kubernetes – Gang Scheduling with YuniKorn

Cloudera

Apache YuniKorn (Incubating) has just released 0.10.0 ( release announcement ). By leveraging the Gang Scheduling feature, Spark jobs scheduling on Kubernetes becomes more efficient. What is Apache YuniKorn (Incubating)? Gang Scheduling in YuniKorn. What is Gang Scheduling?

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Optimizing Cloudera Data Engineering Autoscaling Performance

Cloudera

Normally on-premises, one of the key challenges was how to allocate resources within a finite set of resources (i.e., When building CDE, we integrated with Apache YuniKorn which offers rich scheduling capabilities on Kubernetes. . fixed sized clusters). The traditional scaling pattern can be observed on the graph below.

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Apache Spark on Kubernetes: How Apache YuniKorn (Incubating) helps

Cloudera

Why choose K8s for Apache Spark. Apache Spark unifies batch processing, real-time processing, stream analytics, machine learning, and interactive query in one-platform. Kubernetes as a de-facto standard for service deployment offers finer control on all of the above aspects compared to other resource orchestrators.