kube-batch VS argo

Compare kube-batch vs argo and see what are their differences.

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kube-batch argo
3 43
1,057 14,182
- 1.4%
4.0 9.8
10 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.

kube-batch

Posts with mentions or reviews of kube-batch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-03.
  • Volcano vs Yunikorn vs Knative
    5 projects | /r/kubernetes | 3 May 2023
    tldr; Knative Batch Job provider should support the respective coscheduling and kube-batch support. We had developed an in-house one for KubeFlow, from scratch. We had added Apache Arrow support into knative-serving with the respective CloudEvents interop layer, natively (i.e. secure shmem via IPC namespace, instead of message passing on the same host). We use it as a direct replacement for Apache Arrow Ballista, and had planned researching further DataFusion compat layer. Almost any modern ETL is pretty dubious without Apache Arrow.
  • Kubernetes Was Never Designed for Batch Jobs
    5 projects | dev.to | 1 Sep 2022
    Another aspect of batch jobs is that we’ll often want to run distributed computations where we split our data into chunks and run a function on each chunk. One popular option is to run Spark, which is built for exactly this use case, on top of Kubernetes. And there are other options for additional software to make running distributed computations on Kubernetes easier.
  • Scaling Kubernetes to 7,500 Nodes
    3 projects | news.ycombinator.com | 25 Jan 2021
    > That said, strain on the kube-scheduler is spiky. A new job may consist of many hundreds of pods all being created at once, then return to a relatively low rate of churn.

    Last I checked, the default scheduler places Pods one at a time. It might be advantageous to use a gang/batch scheduler like kube-batch[0], Poseidon[1] or DCM[2].

    [0] https://github.com/kubernetes-sigs/kube-batch

    [1] https://github.com/kubernetes-sigs/poseidon

    [2] https://github.com/vmware/declarative-cluster-management

argo

Posts with mentions or reviews of argo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-11-05.

What are some alternatives?

When comparing kube-batch and argo you can also consider the following projects:

temporal - Temporal service

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

Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

volcano - A Cloud Native Batch System (Project under CNCF)

flyte - Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

StackStorm - StackStorm (aka "IFTTT for Ops") is event-driven automation for auto-remediation, incident responses, troubleshooting, deployments, and more for DevOps and SREs. Includes rules engine, workflow, 160 integration packs with 6000+ actions (see https://exchange.stackstorm.org) and ChatOps. Installer at https://docs.stackstorm.com/install/index.html

n8n - Free and source-available fair-code licensed workflow automation tool. Easily automate tasks across different services.

lens - Lens - The way the world runs Kubernetes

devtron - Tool integration platform for Kubernetes

ploomber - The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

argo-cd - Declarative Continuous Deployment for Kubernetes