Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - [Exercise] Generating Histogram Data

The video tutorial guides viewers through identifying server downtime on May 5th, 2017, by querying server logs for 500 status codes, which indicate server errors. The process involves using a date histogram on the timestamp field, initially breaking it down by hour and then by minute for more precision. The tutorial provides a step-by-step solution, including querying the Kafka logs index and analyzing the results to pinpoint when the server issues began. The video concludes with a discussion on further analysis using Kibana for visual data exploration.

What method is suggested to figure out when the site went down on May 5th, 2017?

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How can you narrow down the search for server errors to a specific time frame?

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What is the significance of the 500 status code in the context of server errors?

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What steps should be taken after identifying a surge in 500 response codes?

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What tools or methods will be used later in the course to analyze server log data visually?

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