charts VS volcano

Compare charts vs volcano and see what are their differences.

charts

⚠️(OBSOLETE) Curated applications for Kubernetes (by helm)
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charts volcano
28 2
15,373 3,948
- 3.1%
2.1 9.3
over 2 years 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.

charts

Posts with mentions or reviews of charts. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-05.

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 2022-08-19.
  • Can we specify nodeSelector inline for a kubectl command
    2 projects | /r/kubernetes | 19 Aug 2022
    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.
  • My Journey With Spark On Kubernetes... In Python (1/3)
    4 projects | dev.to | 12 Apr 2021
    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 charts and volcano you can also consider the following projects:

kubernetes-mixin - A set of Grafana dashboards and Prometheus alerts for Kubernetes.

kube-batch - A batch scheduler of kubernetes for high performance workload, e.g. AI/ML, BigData, HPC

external-dns - Configure external DNS servers (AWS Route53, Google CloudDNS and others) for Kubernetes Ingresses and Services

spark-operator - Kubernetes operator for managing the lifecycle of Apache Spark applications on Kubernetes.

cdk8s - Define Kubernetes native apps and abstractions using object-oriented programming [Moved to: https://github.com/cdk8s-team/cdk8s]

argo - Workflow Engine for Kubernetes

keda - KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes

singularity-cri - The Singularity implementation of the Kubernetes Container Runtime Interface

kube-state-metrics - Add-on agent to generate and expose cluster-level metrics.

warewulf - Warewulf is a stateless and diskless container operating system provisioning system for large clusters of bare metal and/or virtual systems.

prometheus-operator - Prometheus Operator creates/configures/manages Prometheus clusters atop Kubernetes

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 syntax. It is a Go based workflow running on command line or Kubernetes with the help of a custom operator for a quick and automated data pipeline for your machine learning projects (a flavor of MLOps).

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.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
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