Remove spark-on-kubernetes-gang-scheduling-with-yunikorn
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Spark on Kubernetes – Gang Scheduling with YuniKorn

Cloudera

Apache YuniKorn (Incubating) has just released 0.10.0 ( release announcement ). As part of this release, a new feature called Gang Scheduling has become available. By leveraging the Gang Scheduling feature, Spark jobs scheduling on Kubernetes becomes more efficient. What is Gang Scheduling?

Resources 135
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Optimizing Cloudera Data Engineering Autoscaling Performance

Cloudera

That’s why turning to traditional resource scheduling is not sufficient. That’s why turning to traditional resource scheduling is not sufficient. When building CDE, we integrated with Apache YuniKorn which offers rich scheduling capabilities on Kubernetes. . fixed sized clusters).

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Cloudera Data Engineering 2021 Year End Review

Cloudera

Since the release of Cloudera Data Engineering (CDE) more than a year ago , our number one goal was operationalizing Spark pipelines at scale with first class tooling designed to streamline automation and observability. We also introduced Apache Airflow on Kubernetes as the next generation orchestration service.

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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. Support for multiple Spark versions, Python versions, and version-controlled containers on the shared K8s clusters for both faster iteration and stable production.

Policies 112