Originally posted by: StacyPedersen
The IBM Bluemix DevOps Services web page will be deprecated in July 2017. They have created a new site called IBM Bluemix DevOps Continuous Delivery and all of our projects have moved to the new site.
From the ibmcws page on Bluemix DevOps, you can view and download our projects that you can readily integrate with IBM Spectrum Conductor with Spark. If you join IBM Bluemix DevOps, you can contribute projects and samples (including third-party notebooks). Note that you don’t need to have an account to view and download our projects.
What can you contribute?
Create notebooks or Spark applications for Spark workload:
Within IBM® Spectrum Conductor with Spark, a Spark instance group is an installation of Apache Spark that can run Spark core services (Master, Shuffle, and History) and notebooks as configured. You can create and run multiple Spark instance groups, associating each instance group with different Spark version packages as required. A Spark instance group compares to the Spark notion of a tenant and provides multitenancy in IBM Spectrum Conductor with Spark. You submit or schedule Spark applications to the Spark instance group.
Project examples:
Create samples for application instance workload:
Spark applications increasingly require integration with other application frameworks, such as Kafka, MongoDB, and Cassandra. IBM Spectrum Conductor with Spark provides generalized service controller capabilities for concurrent management of multiple instances and versions of application frameworks through application instances. With IBM Spectrum Conductor with Spark, you can create application instances for long-running services that support your Spark applications by using an application template. Through application instances, you can enable these long-running services to share resources and coexist on the same infrastructure. You can also configure the application instance to include Dockerized services that run in Docker containers.
Project examples:
For steps on how to contribute, see our wiki page.
If you have any questions, let us know using our Slack channel!
#SpectrumComputingGroup