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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.

See how to set up the Sumo Logic AWS Observability with AWS CloudFormation. Walk through how to initiate setup from the Sumo Logic docs, to entering credentials in the CloudFormation template, and verifying successful collection setup in SumoLogic.

Learn how to use the Sumo Logic AWS Observability solution to troubleshoot an issue. Identify the problem by identifying an alerting metric, apply filters to isolate the issue, and pivot to related logs to verify the root cause.

The root cause explorer helps teams decrease their mean-time-to-resolution by 2 to 5 times. Get a tour of Sumo Logic Root Cause Explorer and learn how to correlate alerts across different AWS services making it easy to trace and isolate the root cause.