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Hortonworks Data Cloud for AWS
1.
1 © Hortonworks
Inc. 2011 – 2016. All Rights Reserved Hortonworks Data Cloud for AWS Field Awareness Session November 4, 2016
2.
2 © Hortonworks
Inc. 2011 – 2016. All Rights Reserved Introducing Hortonworks Data Cloud for AWS Delivered and sold via AWS Marketplace Focuses on business agility, rather than infinite configurability and cluster management Addresses prescriptive, ephemeral use cases around Spark and Hive Offers Pay-As-You-Go (PAYG) pricing “Optional Free Community Support”** ** Enterprise Support option coming soon
3.
3 © Hortonworks
Inc. 2011 – 2016. All Rights Reserved Choose from Set of Prescriptive Cluster Types
4.
4 © Hortonworks
Inc. 2011 – 2016. All Rights Reserved Product Architecture cloud controller (powered by Cloudbreak) Master Node Worker Node Worker Node Worker Node Master Node Worker Node Worker Node Worker Node Master Node Worker Node Worker Node Worker Node Hortonworks Cloud - Product Architecture HDP Cluster A HDP Cluster B HDP Cluster C AMI-1 AMI-2 AMI-2 AMI-2 AMI-2 AMI-2 AMI-2 AMI-2 AMI-2 AMI-2 AMI-2 AMI-2 AMI-2 Docker
5.
5 © Hortonworks
Inc. 2011 – 2016. All Rights Reserved Cluster Node Types Master Node Worker Node - Ambari Server - Ambari Metrics Collector - HDP Master components (NameNode, ResourceManager, HiveServer, etc) - Network Gateway - Ambari Agent - Ambari Metrics Monitor - HDP Slave components (NodeManager, DataNode, etc) 2
6.
6 © Hortonworks
Inc. 2011 – 2016. All Rights Reserved Hortonworks Data Cloud: Two AWS Marketplace Products Name Description Components Hortonworks Data Cloud – Controller Service Initial Version: 1.8 Users run a single instance of this AMI in their AWS environment. It is the “cloud controller” for creating and managing HDP clusters. - Operating System (Amazon Linux) - Cloudbreak - JDK (OpenJDK) - Database (PostgreSQL) - SmartSense Hortonworks Data Cloud – HDP Services Initial Version: 2.5 This AMI contains the Ambari + HDP software that becomes a cluster launched from the “cloud controller”. - Operating System (Amazon Linux) - Ambari - HDP - JDK (OpenJDK) - Database (PostgreSQL) - SmartSense • User must accept both product subscriptions in AWS Marketplace in order to create clusters
7.
7 © Hortonworks
Inc. 2011 – 2016. All Rights Reserved Getting Started Launch Cloud Controller 1 Create Cluster(s) 2 Resize Clone Terminate 3 Subscribe to Products 0
8.
8 © Hortonworks
Inc. 2011 – 2016. All Rights Reserved Launch Cloud Controller: Basic vs. Advanced Basic Advanced Cloud Controller Database Embedded PostgreSQL External Amazon RDS PostgreSQL Cloud Controller VPC Creates New VPC + Subnet Uses Existing VPC + Subnet Cluster VPC Options - Same VPC + New Subnet, or - Existing VPC + Subnet - Same VPC + New Subnet, or - Existing VPC + Subnet • Basic: Easiest approach, great for getting started but… • If you lose your controller instance, you lose your setup information. • No method to upgrade (to future releases). • Advanced: For real deployments, stores controller setup information in external DB but… • Required more AWS knowledge to get started. 1
9.
9 © Hortonworks
Inc. 2011 – 2016. All Rights Reserved Common Issues: First Time Access and SSL This is not actually an issue…this is just the first time experience…. – But user might be startled so this question might come up. User needs to accept the SSL certificate when first accessing the cloud controller. 1
10.
10 © Hortonworks
Inc. 2011 – 2016. All Rights Reserved Create Cluster: Hardware & Storage Choose instance type for Master and Worker nodes Choose number of Worker node instances Advanced Option to customize storage per instance 2
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