kiosk
celery
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kiosk | celery | |
---|---|---|
8 | 43 | |
1,067 | 23,498 | |
1.0% | 1.6% | |
0.0 | 9.5 | |
7 months ago | 3 days ago | |
Go | Python | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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.
kiosk
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Multi-tenancy in Kubernetes
Kiosk
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Dedicated backend resources per client
Have a look at https://github.com/loft-sh/kiosk and maybe the paid version https://loft.sh/
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From Kubernetes to Plattform
As for the open source projects, maybe you would find Kiosk for allowing self-service namespace creation, namespace templates and cross-namespace resource limits and quotas.
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Space boxing user accounts with Kiosk
# Install kiosk with helm v3 ❯ kubectl create namespace kiosk helm install kiosk --repo https://charts.devspace.sh/ kiosk --namespace kiosk --atomic namespace/kiosk created NAME: kiosk ... Learn more about using kiosk here: https://github.com/loft-sh/kiosk#getting-started #verify ❯ kubectl get pod -n kiosk NAME READY STATUS RESTARTS AGE kiosk-66dbfcf6db-5rfx2 1/1 Running 0 2m18s
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Checklist for Platform Engineers
Kubernetes was designed as a single-tenant platform. Sharing clusters, though, offers greater flexibility, simplifies infrastructure, and improves cost-efficiency. Therefore, it makes sense to use a multi-tenant system. To keep tenants separate and prevent compromised tenants from affecting others, you can use role-based access control (RBAC) or namespaces. Tools that assist with multi-tenancy in Kubernetes include kiosk and loft.
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User management qustion
For simple environments I'm using klum, for bigger environments I'm using OIDC with Keycloak. Beside that kiosk also looks interesting.
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RBAC for developer self-service?
https://github.com/loft-sh/kiosk (from makers of loft)
- Meet Rich Burroughs - Loft Blog
celery
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Streaming responses to websockets with multiple LLMs, am I going about this wrong?
So this might be my understanding, but stuff like celery is more like an orchestrator that chunks up workloads (think Hadoop with multiple nodes).
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Examples of using task scheduler with Go?
In the Django world, you'd probably rely on Celery to do this for you. You're probably looking for something similar that works with Go. https://github.com/celery/celery
- SynchronousOnlyOperation from celery task using gevent execution pool on django orm
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FastAPI + Celery problem: Celery task is still getting exectued even though I'm raising an exception on task_prerun
I've been doing some research and there doesn't seem to be much information on this issue, aditionally there's this but without a fix yet or any workaround: https://github.com/celery/celery/issues/7792
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Taskiq: async celery alternative
RabbitMQ Classic mirror queues are very fragile to network partitioning. They are deprecated in favor of Quorum queues, but Celery doesn't support them yet : https://github.com/celery/celery/issues/6067
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Use Celery with any Django Storage as a Result Backend
The Celery package provides some number of (undocumented!) result backends to store task results in different local, network, and cloud storages. The django-celery-result package adds options to use Django-specific ORM-based result storage, as well as Django-specific cache subsystem.
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Django Styleguide
I spent 3 years building a high scale crawler on top of Celery.
I can't recommend it. We found many bugs in the more advanced features of Celery (like Canvas) we also ran into some really weird issues like tasks getting duplicated for no reason [1].
The most concerning problem is that the project was abandoned. The original creator is not working on it anymore and all issues that we raised were ignored. We had to fork the project and apply our own fixes to it. This was 4 years ago so maybe things improved since them.
Celery is also extremely complex.
I would recommend https://dramatiq.io/ instead.
[1]: https://github.com/celery/celery/issues/4426
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Processing input and letting user download the result
You can use celery to process the file for extraction, saving and creating rar/zip.
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RQ-Scheduler for tasks in far future?
Celery not usefull for long term future tasks (far future) · Issue #4522 · celery/celery (github.com)
What are some alternatives?
capsule - Multi-tenancy and policy-based framework for Kubernetes.
dramatiq - A fast and reliable background task processing library for Python 3.
vcluster - vCluster - Create fully functional virtual Kubernetes clusters - Each vcluster runs inside a namespace of the underlying k8s cluster. It's cheaper than creating separate full-blown clusters and it offers better multi-tenancy and isolation than regular namespaces.
Apache Kafka - Mirror of Apache Kafka
loft - Namespace & Virtual Cluster Manager for Kubernetes - Lightweight Virtual Clusters, Self-Service Provisioning for Engineers and 70% Cost Savings with Sleep Mode
huey - a little task queue for python
Openshift Origin - Conformance test suite for OpenShift
NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.
klum - Kubernetes Lazy User Manager
rq - Simple job queues for Python
sandbox-operator - A Kubernetes operator for creating isolated environments
kombu - Messaging library for Python.