Application performance monitoring in Elasticsearch - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is Application Performance Monitoring (APM)?

APM is a tool or process that helps track how well an application works by measuring its speed, errors, and user experience.

beginner

How does Elasticsearch help in Application Performance Monitoring?

Elasticsearch stores and searches large amounts of performance data quickly, making it easy to analyze application behavior and find problems.

beginner

What is an APM agent in the context of Elasticsearch APM?

An APM agent is a small program added to your application that collects performance data and sends it to Elasticsearch for analysis.

beginner

Name two key metrics monitored by APM tools.

Response time (how fast the app responds) and error rate (how often the app fails or has bugs).

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Why is monitoring user experience important in APM?

Because it shows how real users feel about the app’s speed and reliability, helping teams fix issues that affect users directly.

What role does an APM agent play in Elasticsearch APM?

A Visualizes data in dashboards

B Stores data in Elasticsearch

C Collects and sends performance data from the application

D Manages user access to Elasticsearch

The APM agent collects performance data from the application and sends it to Elasticsearch for storage and analysis.

Which metric tells you how often your application fails?

A Response time

B Error rate

C CPU usage

D Memory consumption

Error rate measures how often the application encounters failures or bugs.

Why is Elasticsearch suitable for APM data?

A It replaces the need for APM agents

B It is a programming language

C It only stores small amounts of data

D It can quickly search and analyze large volumes of data

Elasticsearch is designed to handle and search large datasets quickly, which is ideal for performance monitoring data.

What does response time measure in APM?

A How fast the app responds to requests

B How many users are online

C The size of the application

D The number of servers running

Response time measures the speed at which the application answers user requests.

Which of these is NOT a typical use of APM?

A Writing application code

B Tracking application errors

C Measuring user experience

D Analyzing performance bottlenecks

APM tools monitor and analyze applications but do not write application code.

Explain how Elasticsearch APM helps improve application performance.

Think about the flow from data collection to problem solving.

Describe the key metrics monitored by Application Performance Monitoring and why they matter.

Focus on what each metric tells you about the app.