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Spark-operator Alternatives
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ohmyzsh
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool that makes it easy to keep up with the latest updates from the community.
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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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cortex
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helm-operator
Discontinued Successor: https://github.com/fluxcd/helm-controller — The Flux Helm Operator, once upon a time a solution for declarative Helming.
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helm
Discontinued The Kubernetes Package Manager [Moved to: https://github.com/helm/helm] (by kubernetes)
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flink-on-k8s-operator
Kubernetes operator for managing the lifecycle of Apache Flink and Beam applications.
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SaaSHub
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spark-operator discussion
spark-operator reviews and mentions
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Data on Kubernetes: Part 4 - Argo Workflows: Simplify parallel jobs : Container-native workflow engine for Kubernetes 🔮
In this section, we'll dive into creating and deploying a data processing platform on Amazon Elastic Kubernetes Service Amazon EKS. The solution includes essential Kubernetes add-ons: Argo Workflows, Argo Events, Spark Operator for managing Spark jobs, Fluent Bit for logging, and Prometheus for metrics.
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Dependency issue with Pyspark running on Kubernetes using spark-on-k8s-operator
I have spent days now trying to figure out a dependency issue I'm experiencing with (Py)Spark running on Kubernetes. I'm using the spark-on-k8s-operator and Spark's Google Cloud connector.
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Experience setting up Spark and Hudi on Kubernetes
We're using https://github.com/bitnami/charts/tree/main/bitnami/spark, but I have heard good things about https://github.com/GoogleCloudPlatform/spark-on-k8s-operator as well. Hudi should not need any long running deployments as per the docs https://hudi.apache.org/docs/0.5.1/deployment/#deploying
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[Spark-k8s] — Getting started # Part 1
The SparkOperator must be installed before we can use Spark on Kubernetes. Google created this operator, which is available on Github. In a nutshell, the operator is in charge of monitoring the cluster for specific events related to the spark job, as known as kind: SparkApplication
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So many sparks on K8s... Could anyone give me a few explanations please ?
Spark-Operator (as I understand, Spark-Operator integrates well with K8s while vanilla Spark integration with K8s seems extremely complex to maintain)
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"Running Apache Spark on EKS Fargate"
Spark on K8s Operator is a project from Google that allows submitting spark applications on Kubernetes cluster using CustomResource Definition SparkApplication. It uses mutating admission webhook to modify the pod spec and add the features not officially supported by spark-submit.
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My Journey With Spark On Kubernetes... In Python (1/3)
In this section, you use Helm to deploy the Kubernetes Operator for Apache Spark from the incubator Chart repository. Helm is a package manager you can use to configure and deploy Kubernetes apps.
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My Journey With Spark On Kubernetes... In Python (2/3)
Additional details of how SparkApplications are run can be found in the design documentation.
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Gopher Gold #14 - Wed Oct 07 2020
GoogleCloudPlatform/spark-on-k8s-operator (Go): Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.
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A note from our sponsor - InfluxDB
www.influxdata.com | 15 May 2025
Stats
kubeflow/spark-operator is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of spark-operator is Go.
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