Many companies are using Elasticsearch for various purposes. This video provides a breakdown the most common—and even some surprising—use cases for the platform.
- [Instructor] The Elastic stack can be used…for innumerable different use cases.…However, I thought it would make sense…to just talk about some of the most common ones…that people are using it for.…A big one is security and log analytics.…It's incredibly common to have Logstash…pulling in your web server logs…or security logs from your firewall, for example,…throw them into an index where you have dashboards…and alerting, and all kinds of things…that you may be wanting to look at…to see what's going on with your traffic,…whether it's somebody trying to login to your website…where they shouldn't be,…or somebody issuing a type of attack on your network.…
In any event, it's a great tool to analyze these things,…because it does it in near real-time…and can provide alerting and anomaly protection.…Another use case which may not be totally obvious…is marketing.…Following along with the idea…that we have web logs in Elasticsearch…that we can run queries against,…we can use this data to find things,…like drill paths and how people found our website…
In this course, join Ben Sullins as he dives into the inner workings of Elasticsearch combined with Kibana. Ben provides an overview of the architecture, and then goes over the different deployment methods, and how to best structure your data. From there, he demonstrates how to query data, and how to work with Kibana to present your insights.
- Reviewing key Elasticsearch concepts
- Running Elasticsearch in the cloud and locally
- Bulk loading data
- Setting up mappings of data types
- Querying data
- Running basic aggregations
- Creating visualizations and dashboards in Kibana