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new a69bd750a ADD: New frameworks and executor to the community list.
a69bd750a is described below
commit a69bd750a0cfa82d7327ca42ac9a82df9255e12a
Author: Andreas Peters <a...@aventer.biz>
AuthorDate: Sun Aug 7 14:53:50 2022 +0200
ADD: New frameworks and executor to the community list.
---
docs/frameworks.md | 8 ++++++++
1 file changed, 8 insertions(+)
diff --git a/docs/frameworks.md b/docs/frameworks.md
index 368ecad9a..92d1f1c75 100644
--- a/docs/frameworks.md
+++ b/docs/frameworks.md
@@ -11,12 +11,15 @@ layout: documentation
## Long Running Services
* [Aurora](http://aurora.apache.org) is a service scheduler that runs on top
of Mesos, enabling you to run long-running services that take advantage of
Mesos' scalability, fault-tolerance, and resource isolation.
+* [Compose](https://github.com/AVENTER-UG/mesos-compose) is a scheduler (HTTP
API) for long running Mesos tasks. The syntax is compatible to docker-compose.
+* [M3s](https://github.com/AVENTER-UG/mesos-m3s) is a scheduler (HTTP API) to
run multiple K3s (Kubernetes) cluster on top of Mesos.
* [Marathon](https://github.com/mesosphere/marathon) is a private PaaS built
on Mesos. It automatically handles hardware or software failures and ensures
that an app is "always on".
* [Singularity](https://github.com/HubSpot/Singularity) is a scheduler (HTTP
API and web interface) for running Mesos tasks: long running processes, one-off
tasks, and scheduled jobs.
* [SSSP](https://github.com/mesosphere/sssp) is a simple web application that
provides a white-label "Megaupload" for storing and sharing files in S3.
## Big Data Processing
+* [Apache Airflow
provider](https://github.com/AVENTER-UG/airflow-provider-mesos) is a scheduler
to scale out Apache Airflow DAG's on Mesos.
* [Cray Chapel](https://github.com/nqn/mesos-chapel) is a productive parallel
programming language. The Chapel Mesos scheduler lets you run Chapel programs
on Mesos.
* [Dpark](https://github.com/douban/dpark) is a Python clone of Spark, a
MapReduce-like framework written in Python, running on Mesos.
* [Exelixi](https://github.com/mesosphere/exelixi) is a distributed framework
for running genetic algorithms at scale.
@@ -49,3 +52,8 @@ layout: documentation
## Machine Learning
* [TFMesos](https://github.com/douban/tfmesos) is a lightweight framework to
help running distributed [Tensorflow](https://www.tensorflow.org/) Machine
Learning tasks on Apache Mesos with GPU support.
+
+## Load Balancing
+
+* [Traefik Mesos provider](https://github.com/AVENTER-UG/traefik-mesos) is a
modern HTTP reverse proxy and load balancer with build-in TCP and UDP support.
+
