helm
The Kubernetes Package Manager [Moved to: https://github.com/helm/helm] (by kubernetes)
DISCONTINUED
volcano
A Cloud Native Batch System (Project under CNCF) (by volcano-sh)
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| helm | volcano | |
|---|---|---|
| 2 | 1 | |
| 19,316 | 2,063 | |
| - | 4.2% | |
| 9.2 | 9.4 | |
| 8 months ago | 1 day ago | |
| Go | Go | |
| Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
helm
Posts with mentions or reviews of helm.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-07-15.
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go startpack
Helm (label: good first issue) The Kubernetes Package Manager
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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.
volcano
Posts with mentions or reviews of volcano.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-12.
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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.
What are some alternatives?
When comparing helm and volcano you can also consider the following projects:
spark-on-k8s-operator - Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.
kube-batch - A batch scheduler of kubernetes for high performance workload, e.g. AI/ML, BigData, HPC
warewulf - Warewulf is a stateless and diskless container operating system provisioning system for large clusters of bare metal and/or virtual systems.
snowflake - Snowflake is a network service for generating unique ID numbers at high scale with some simple guarantees.
charts - ⚠️(OBSOLETE) Curated applications for Kubernetes
cockroach - CockroachDB - the open source, cloud-native distributed SQL database.