Latest Videos

Getting Started with Elastic Maps Server (Beta)

Elastic Maps Server gives you the ability to use Elastic Maps without needing to have a connection to Elastic Maps Service for the underlying basemaps and vector maps. This is ideal for air-gapped or low-connectivity environments that require locally managed assets. In this video, we walk through how to get started with Elastic Maps Server for your own self-managed Elastic Stack deployment.

Elastic Security 101

Elastic Security empowers analysts to collect data from multiple data source integrations, perform traditional SIEM functions, and take advantage of machine learning-based malware protection on the endpoint. Analysts can filter, group, and visualize data in real-time while performing automated threat detection across various security events and information. In this video, you’ll learn about the components that make up Elastic Security and what those components do to help you protect your data.

How to configure your Endpoint Integration policy in Elastic Security

Elastic Security offers the ability to open and track security issues using cases. Cases created directly in Elastic Security can be sent to external systems like Atlassian’s Jira, including Jira Service Desk, Jira Core, and Jira Software. In this video, you’ll learn how to connect Elastic Security to the Jira Service Desk.

Creating a Day of Week Runtime Field and Using It in Kibana

The video contains a demonstration of the creation of a runtime field in which the day of the week is calculated from a timestamp field that contains the date. A visualization is then created in Kibana Lens using an indexed field and the newly created runtime field. Runtime field is the name given to the implementation of schema on read in Elasticsearch.

Shadow an Indexed Field With a Runtime Field to Fix Errors

The video contains a demonstration of using a runtime field to fix errors in the indexed data. We intentionally index documents with some errors, and then use a runtime field to shadow the indexed field. The demonstration shows how a user querying the data or creating a visualization in Kibana Lens will see the correct information, which is calculated in the runtime field. This scenario allows for immediate fixing of errors in the indexed data by shadowing them with runtime fields (instead of reindexing). Runtime field is the name given to the implementation of schema on read in Elasticsearch.

Dynamically Created Runtime Fields

The video contains a demonstration of the creation of an index template that defines that unknown fields will be created as runtime fields. Documents are then indexed into an index that inherits from that template, and because these documents contain fields that are not defined in the template, the fields are automatically created as runtime fields (i.e. these fields are usable for search and aggregation, but are not indexed). Runtime field is the name given to the implementation of schema on read in Elasticsearch.