Elasticsearch 7 and Elastic Stack - In Depth and Hands On! - Uptime Monitoring with Heartbeat

The video tutorial covers the importance of monitoring service availability and response times using the heartbeat tool from the Elastic Beat family. It explains the different types of monitors—ICMP, TCP, and HTTP—and their roles in network monitoring. The tutorial provides a step-by-step guide on installing and configuring heartbeat, creating TCP and HTTP monitors, and visualizing data using Kibana. It emphasizes the need for consistent monitoring to ensure service functionality and offers practical examples of setting up monitors and analyzing data.

What is the primary purpose of using Heartbeat from the Elastic Beat family?

• To enhance data storage capabilities

• To monitor service availability

• To improve network security

• To optimize database queries

Which protocol is NOT one of the main monitor types discussed in the video?

• ICMP

• FTP

• TCP

• HTTP

What is the first step in installing Heartbeat?

• Defining monitors

• Adding the public signing key

• Configuring the YAML file

• Setting up the dashboard

How can you ensure Heartbeat starts with the system boot?

• By using 'sudo system control enable'

• By adding it to the startup folder

• By enabling it in the configuration file

• By using the 'start' command

What is the purpose of defining monitors in separate YAML files?

• To reduce file size

• To avoid messy configurations

• To increase processing speed

• To enhance security

Which command is used to check the list of indices in Elasticsearch?

• curl localhost:9200/_cluster/health

• curl localhost:9200/_status

• curl localhost:9200/_search

• curl localhost:9200/_cat/indices

What is a key feature of the HTTP monitor in Heartbeat?

• It inspects DNS queries

• It monitors TCP ports

• It validates HTTP connections

• It checks for ICMP packets

What condition is checked in the HTTP monitor for the Elasticsearch cluster health?

• Status is blue

• Status is green

• Status is yellow

• Status is red

What tool is used to visualize the collected data from Heartbeat?

• Kibana

• Splunk

• Grafana

• Tableau

What is the final step after visualizing data in Kibana?

• Restarting the system

• Deleting the configuration files

• Exporting the dashboard

• Stopping the Heartbeat instance