Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - [Exercise] Log Analysis with Kibana

The video tutorial guides viewers through analyzing 404 error codes on a web server using Kibana. It begins with setting a specific date range to filter data, followed by a geographical analysis of error sources. The tutorial then explores user agents responsible for these errors, identifying crawlers like Bingbot and Baidu Spider. The conclusion offers insights into the findings and encourages further exploration of Kibana's features.

What specific task is the teacher asking students to perform with the web server logs?

• Analyze 404 errors between 9:30 and 10:00 AM Zulu time.

• Determine the server's uptime.

• Identify the source of 500 errors.

• Find the number of successful requests.

What is the first step in analyzing the 404 errors using Kibana?

• Zoom into the geographical data.

• Set the date range filter to the specific time frame.

• Highlight the 500 errors.

• Check the server's CPU usage.

Which city was NOT mentioned as a source of 404 errors?

• Moscow

• Virginia

• New York

• San Francisco

What is the significance of identifying the user agents causing 404 errors?

• To find out which browsers are most popular.

• To identify potential malicious activity.

• To determine the server's response time.

• To check the server's bandwidth usage.

Which user agent was identified as causing a significant number of 404 errors?

• Googlebot

• Bingbot

• Firefox

• Opera

What was the likely reason for the 404 errors caused by CF Network?

• Server downtime

• Malicious attacks

• Missing Apple touch icons

• Incorrect URL typing by users

What conclusion did the teacher reach about the nature of the 404 errors?

• They were due to a server hack.

• They were caused by missing icons for Apple devices.

• They indicated a major server malfunction.

• They were due to a network outage.