Apache: Big Data North America 2017

Apache Ambari has become an indispensable tool for operating Hadoop clusters ranging from 20 to 2000 nodes. Ambari’s knowledge of the Hadoop stack allows it to deploy a cluster within minutes and manage the entire lifecycle: scaling, security, upgrades, and more. The speaker will discuss central features like deploying clusters with Blueprints, adding custom services, scaling the number of hosts, adding High Availability, securing with MIT kerberos, and upgrading the Hadoop stack with features like Rolling & Express Upgrade, and using the REST API to automate workflows. For users and data scientists, Ambari provides LDAP sync, Role-Based Access Control to handle user permissions, and a framework to host Ambari Views. Lastly, he will cover how to monitor the health of the cluster via Alerts and troubleshoot by using LogSearch and Ambari Metrics Systems integrated with Grafana UI.