Centralized logging (ELK stack) in Microservices - Cheat Sheet & Quick Revision

Recall & Review

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What does ELK stand for in the ELK stack?

ELK stands for Elasticsearch, Logstash, and Kibana. These three tools work together to collect, store, and visualize logs.

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What is the role of Logstash in the ELK stack?

Logstash collects logs from different sources, processes them (like filtering or parsing), and sends them to Elasticsearch for storage.

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How does Elasticsearch help in centralized logging?

Elasticsearch stores and indexes logs so you can quickly search and analyze large amounts of log data.

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What is Kibana used for in the ELK stack?

Kibana provides a web interface to visualize and explore logs stored in Elasticsearch using charts, graphs, and dashboards.

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Why is centralized logging important in microservices?

Centralized logging helps collect logs from many microservices in one place, making it easier to monitor, troubleshoot, and understand system behavior.

Which ELK component is responsible for storing and indexing logs?

A Elasticsearch

B Logstash

C Kibana

D Beats

Elasticsearch stores and indexes logs for fast searching.

What does Logstash do in the ELK stack?

A Visualizes logs

B Stores logs

C Collects and processes logs

D Sends alerts

Logstash collects logs from sources and processes them before sending to Elasticsearch.

Which tool provides dashboards and charts to view logs?

A Kibana

B Logstash

C Fluentd

D Elasticsearch

Kibana is the visualization tool in the ELK stack.

Why is centralized logging useful in microservices?

A It stores logs locally on each service

B It collects logs in one place for easier analysis

C It replaces the need for monitoring

D It automatically fixes bugs

Centralized logging gathers logs from many services to simplify monitoring and troubleshooting.

Which ELK stack component is NOT part of the core ELK acronym but often used for lightweight log shipping?

A Logstash

B Kibana

C Elasticsearch

D Beats

Beats are lightweight agents that send logs to Logstash or Elasticsearch but are not part of the ELK acronym.

Explain the roles of Elasticsearch, Logstash, and Kibana in the ELK stack.

Think about collecting, storing, and viewing logs.

Why is centralized logging important when working with microservices?

Consider the challenge of many services writing logs separately.