Volcano Alternatives
Similar projects and alternatives to volcano
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spark-operator
Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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kube-batch
Discontinued A batch scheduler of kubernetes for high performance workload, e.g. AI/ML, BigData, HPC
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helm
Discontinued The Kubernetes Package Manager [Moved to: https://github.com/helm/helm] (by kubernetes)
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singularity-cri
Discontinued 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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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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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
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.
The primary programming language of volcano is Go.
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