Volcano Alternatives
Similar projects and alternatives to volcano
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spark-on-k8s-operator
Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.
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kube-batch
A batch scheduler of kubernetes for high performance workload, e.g. AI/ML, BigData, HPC
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InfluxDB
Build time-series-based applications quickly and at scale.. InfluxDB is the Time Series Platform where developers build real-time applications for analytics, IoT and cloud-native services. Easy to start, it is available in the cloud or on-premises.
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singularity-cri
The Singularity implementation of the Kubernetes Container Runtime Interface
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warewulf
Warewulf is a stateless and diskless container operating system provisioning system for large clusters of bare metal and/or virtual systems.
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helm
The Kubernetes Package Manager [Moved to: https://github.com/helm/helm] (by kubernetes)
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SonarLint
Clean code begins in your IDE with SonarLint. Up your coding game and discover issues early. SonarLint is a free plugin that helps you find & fix bugs and security issues from the moment you start writing code. Install from your favorite IDE marketplace today.
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kubernetes-operator-roiergasias
'Roiergasias' kubernetes operator is meant to address a fundamental requirement of any data science / machine learning project running their pipelines on Kubernetes - which is to quickly provision a declarative data pipeline (on demand) for their various project needs using simple kubectl commands. Basically, implementing the concept of No Ops. The fundamental principle is to utilise best of docker, kubernetes and programming language features to run a workflow with minimal workflow definition s
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k8s-scheduler-extender-example
An example of kubernetes scheduler extender
volcano reviews and mentions
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Can we specify nodeSelector inline for a kubectl command
Also, if you are creating bare pods, this sounds like batch scheduling and you should consider using Jobs instead, to have a pod controller. And then you could also consider the https://volcano.sh/ scheduler if it has a fitting scheduling plugin for your use case.
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My Journey With Spark On Kubernetes... In Python (1/3)
For our experiments, we will use Volcano which is a batch scheduler for Kubernetes, well-suited for scheduling Spark applications pods with a better efficiency than the default kube-scheduler. The main reason is that Volcano allows "group scheduling" or "gang scheduling": while the default scheduler of Kubernetes schedules containers one by one, Volcano ensures that a gang of related containers (here, the Spark driver and its executors) can be scheduled at the same time. If for any reason it is not possible to deploy all the containers in a gang, Volcano will not schedule that gang. This article explains in more detail the reasons for using Volcano.
Stats
volcano-sh/volcano is an open source project licensed under Apache License 2.0 which is an OSI approved license.
