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Logging, security, and analytics on Azure with the Elastic Stack

Christoph Wurm, Principal Solutions Architect at Elastic, speaks at the 2nd edition of Azure OpenDev, a live community-focused series of technical demonstrations centered around building open source solutions on Azure. This episode features DevOps, which increases business agility by delivering business value to customers faster.

Every server instance, application, and process continuously create streams of events about their operation and status. Gathering this information is at the heart of the Elastic Stack. Comprised of Elasticsearch, Kibana, Logstash, and Beats, Elastic Stack is supplemented by X-Pack for security, alerting, machine learning, anomaly detection, and more. It's the most commonly deployed open-source stack for centralized log management, metrics monitoring, and analytics.

Many Elastic Stack users and customers are happily running on Azure. An official Elastic Stack solution template in the marketplace helps get you started and provides separate resources for ongoing support.

In this session, you'll learn about the components of the Elastic Stack and how they come together in one pipeline. You'll see the typical use cases, architectures, data sources, and end users. Lastly, you'll see how Elastic Stack is deployed on Azure. Anshul Kumar, Director of Big Data at McKesson, will demonstrate how to deploy Elasticstack in an enterprise private network on Azure as well as provide speeding data insights using Kibana.

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