<img src="pk1/static/logo-large.png" width = "50%" /> # Introduction PackOne is used to simplify big data cluster deployment on the clouds include **OpenStack**, H3CloudOS, EVCloud and CSTCloud etc. It can **bootstrap** a cluster from scratch in a few clicks, and **materialize** the cluster into cloud images to boost following cluster creating procedures. Besides, PackOne can **scale-out**/**in** clusters by only one click. This software is inspired by the "serverless" trend in cloud computing and big data processing, with the ambitions to bridge the IaaS to Apache Ambari seamlessly and coordinate Ambari Services into an elastic high-level workspace. Currently, It support to deploy and scale out Hadoop, Spark, Hive, Neo4j, MongoDB, Kylin, Redis and many other clustering software in several clicks or api callings. # Install 1. Choose a linux (Centos 7.5 is verified) host which network can reach the target cloud resource; 2. yum install python36-pip and python36-devel; 3. Create a postgresql db with its information (db_user, db_passwd, db_host, db_port, db_name) collected. Then run: pip3.6 install pk1 pip3.6 install -U pip setuptools pk1 setup --database db_user:db_passwd:db_host:db_port:db_name # Start Service pk1 start [--listening 127.0.0.1:11001] # Step 1: Add Cloud (OpenStack, for example) open http://127.0.0.1:11001/clouds/cloud/add/, and fill the form like: <img src="pk1/static/intro-cloud.png"/> # Step 2: Bootstrap an Ambari cluster open http://127.0.0.1:11001/engines/cluster/add/, and fill the form like: <img src="pk1/static/intro-bootstrap.png"/> # Step 3: Materialize/Scale clusters open http://127.0.0.1:11001/engines/cluster/, select the target clusters, and click the following materialize.../scale... link: <img src="pk1/static/intro-materialize.png"/> # Step 4: Boost cluster creation Similar to **Step 2**, open http://127.0.0.1:11001/clouds/cloud/add/, but choose a scale whose name without 'boostrap'. # Stop pk1 stop # Uninstall pk1 uninstall # Acknowledge National Key Research Program of China: Scientific Big Data Management System (No.2016YFB1000600)