terraform_softlayer. Provision various clusters on Softlayer using Terraform, i.e.,Mesosphere DC/OS(GPU), Kubernetes, Slurm (GPU), LSF, Yarn (Spark, XGBoost, GPU), Ingestion(Spark, ZK, Kafka), Spark (XGBoost)... . And a generic Jupyter Notebook for Terraform Apply .
8CloudInnovation. Open Technology in the space of Cloud Computing, Big Data Analytics ...
5Distributed_TensorFlow_Exercise. Distribute TensorFlow on DC/OS, TensorFlow leveraging GPU on DC/OS
5acmeair-nodejs. A Node.js implementation of the Acme Air. Supporting DataStores of MongoDB, Cloudant, Cassandra. Supporting runtimes of Bluemix/CloudFoundry, Docker (Mesos and kubernetes). Supporting Micro-Services integration into Netflix OSS, ZipKin,Swagger.
4Mesos_Auto_Scale. Auto Scale Mesos Cluster and Tasks based on workload by integrating with Fenzo, Softlayer Auto Scale Group, and Mesos monitor statistics.
3kubernetes_ibmcloud. Run Kafka, Zookeeper, Spark,ScyllaDB and explore Kubernetes Federation etc. on IBM Cloud Container Service.
2Notebook_Exercise. Jupyter Notebook
2terraform_ibmcloud. Use Terraform IBM Cloud Provider to provision clusters such as ICP, DCOS; services such as Compose DBaaS, Container Service; workload such as YCSB, DBT2....
2YCSB_Mesos. Run YCSB workload across various datastore on Mesos through Marathon (Docker)
1SparkSQL_Workload. Use SparkSQL to measure datastore performance.
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