The video tutorial introduces the ELK stack, comprising Elasticsearch, Logstash, and Kibana, along with the Beats framework. It highlights the simplicity and efficiency of this system compared to Hadoop and Kafka. The tutorial transitions from learning on a single virtual machine to managing an entire Elasticsearch cluster, setting the stage for further exploration of Elasticsearch operations.

Which components make up the ELK stack?

• Elasticsearch, Logstash, Kafka

• Elasticsearch, Logstash, Kibana

• Elasticsearch, Hadoop, Kibana

• Elasticsearch, Beats, Kibana

What is the role of the Beats framework in the ELK stack?

• It replaces Logstash

• It works with Logstash

• It is an alternative to Kibana

• It is a database system

How does the ELK stack compare to Hadoop and Kafka?

• It is simpler, faster, and easier to set up

• It requires more hardware

• It is more complex and slower

• It is more expensive

What has the course focused on so far before discussing cluster management?

• Managing multiple virtual machines

• Using cloud services

• Learning on a single virtual machine

• Setting up a data center

What is the next topic after learning on a single virtual machine?

• Data visualization with Kibana

• Operations with Elasticsearch clusters

• Advanced Logstash configurations

• Integrating with Hadoop