Performance Metrics of components in a software | System Design Tutorials | Lecture 15 | 2020

This is the fifteenth video in the series of System Design Primer Course. We talk about one more important component of System Design: Performance Metrics of components in a software. We want software engineers and aspiring software engineers to develop basics and get ready for the world of interviews as well as excelling as a Software Engineer.

In this video we have discussed various metrics that are fundamental to know about how systems are going to perform. Throughout, bandwidth and response time are explained here with various examples. Hope you like the video.

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Recommendations
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Our full courses on youtube:
✒ System Design Primer Course: https://youtube.com/playlist?list=PLTCrU9sGyburBw9wNOHebv9SjlE4Elv5a
✒ REST APIs made easy:https://youtube.com/playlist?list=PLTCrU9sGybupzS5-3iYTsYUI1emBDKdHu

Some paid courses that we recommend:
✒Educative.io: https://bit.ly/3qnW5ku
✒Interviewready.io: https://get.interviewready.io/ (Use coupon code SUDOCODE for extra discount)

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About Us
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Created and Instructed by:
Yogita Sharma
✒ LinkedIn – https://www.linkedin.com/in/yogita-sharma-83400b55/
✒ Instagram – https://www.instagram.com/sudo.code1
✒ Facebook – https://www.facebook.com/sudo.code
✒ Medium – https://medium.com/@yogita088

Post-production(editing, thumbnail etc) managed by:
CiKi
✒ Website: www.ciki.co.in
✒ LinkedIn: https://www.linkedin.com/company/74735937

Colors and design by:
Naini Todi
✒ LinkedIn – https://www.linkedin.com/in/nainitodi/

Both Arpit and Yogita are software engineers and want to help other software engineers become better by providing high quality and well researched content by adding their creativity and teaching twist.

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Join Us
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Hangout with sudoCode:
✒Discord Server: https://discord.gg/rwD2PkeAxw

For business:
✒Email: sudocode.yogita@gmail.com

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Timestamps:
0:00 – Intro to the lecture
0:45 – Performance of Applications
3:46 – Performance of Databases
5:36 – Performance of Cache
7:32 – Performance of Message Queues
9:20 – Performance of Workers
10:18 – Performance of Server instances
14:52 – Performance metric tools
17:40 – Summary