Displaying 1 to 6 from 6 results

genie - Distributed Big Data Orchestration Service

Genie is a federated job orchestration engine developed by Netflix. Genie provides REST-ful APIs to run a variety of big data jobs like Hadoop, Pig, Hive, Spark, Presto, Sqoop and more. It also provides APIs for managing the metadata of many distributed processing clusters and the commands and applications which run on them.See the official website to find documentation about Genie and specific documentation for various releases.

Moby Project - An open framework to assemble specialized container systems

Moby is an open-source project created by Docker to advance the software containerization movement. It provides a “Lego set” of dozens of components, the framework for assembling them into custom container-based systems, and a place for all container enthusiasts to experiment and exchange ideas.

Apache ODE - WS-BPEL implementation that supports web services orchestration using flexible process

Apache ODE is a WS-BPEL implementation that supports web services orchestration using flexible process definitions.


A simple workflow engine written in .NET that will allow non-coders to create and run workflows (like automatic parsing of emails, call center scripts etc)

smith - Smith is a Kubernetes workflow engine / resource manager prototype

Smith is a Kubernetes workflow engine / resource manager prototype. It's not complete yet, it's still under active development. It may or may not fulfil the requirements of https://github.com/kubernetes/kubernetes/issues/1704.What if we build a service that allows us to manage Kubernetes' built-in resources and other Custom Resources (CRs) in a generic way? Similar to how AWS CloudFormation (or Google Deployment Manager) allows us to manage any AWS/GCE and custom resource. Then we could expose all the resources we need to integrate as Third Party Resources and manage them declaratively. This is an open architecture with Kubernetes as its core. Other microservices can create/update/watch CRs to co-ordinate their work/lifecycle.

sequoia - Scalable testing with containers

Refer to Test Syntax for more information about how to build out your test and scopes.Sequoia works by running containers that apply load to couchbase servers. These containers are running on docker specified by the client in your config file. Depending on your docker install you will need to use http(s) and specify port. It's recommended to run over a tcp port.