IOPS, Throughput & Latency Explained

preview_player
Показать описание
A look at IOPS, throughput and latency and what they are and when we may care.

This week's bag of Microsoft Azure updates and new features.

🔎 Looking for content on a particular topic? Search the channel. If I have something it will be there!

▬▬▬▬▬▬ C H A P T E R S ⏰ ▬▬▬▬▬▬
0:00 - Introduction
0:47 - Capacity
1:54 - IOPS
3:32 - Throughput
6:45 - Latency
11:20 - Summary and close

▬▬▬▬▬▬ Want to learn more? 🚀 ▬▬▬▬▬▬
📖 Recommended Learning Path for Azure
🥇 Certification Content Repository
📅 Weekly Azure Update
☁ Azure Master Class
⚙ DevOps Master Class
💻 PowerShell Master Class
🎓 Certification Cram Videos
🧠 Mentoring Content
❔ Question about my setup?
👕 Cure Childhood Cancer Charity T-Shirt Channel Store

#microsoft #azure #johnsavillstechnicaltraining #doyouevenazure #onboardtoazure #cloud
Рекомендации по теме
Комментарии
Автор

Hey everyone, welcome to another video! Please make sure to read the description for the chapters and key information about this video and others.

⚠ P L E A S E N O T E ⚠

🤔 I am no longer able to answer questions due to the sheer amount of comments on this channel and will stay in moderation queue. Sorry.
🔎 If you are looking for content on a particular topic search the channel. If I have something it will be there!
🕰 I don't discuss future content nor take requests for future content so please don't ask 😇

Thanks for watching!
🤙

NTFAQGuy
Автор

excellent analogy and that formula is more valuable than gold! Thank you..IRON MAN!

alexandrupascu
Автор

What a simple and clear analogy! Thank you.

cmabr
Автор

Had to watch the first few minutes twice because I was laughing too hard at that t-shirt lmao. Excellent video John!

flattenedamh
Автор

John has mastered that art of explaining complex topics with simple examples...thats his strength...those biceps are just a facade 😉

prasadhonrao
Автор

Paul Nielsen used to think of IOPS as how many birds can co currently peck on or drink from the fountain (random I/o) as opposed to throughput which is most likely realized from large data warehouse sequential is how many big concurrent gulps can be taken from the fountain .

NeumsFor
Автор

A great analogy and very clear explanation of the concepts.

It's probably worth mentioning that devices usually have different IOPS depending on the block size (size operation).
The lower the size operation, the higher the IOPS, but it's not linear.
The throughput is still better for high block/operation sizes, despite IOPS dropping.
Keep in mind that throughput is not always the limiting factor, though.

DmitryTsarev
Автор

I just realized this was published less than 24 hours ago. How timely!
Thank you! It was easy to understand. Very insightful!

jeanorozco
Автор

Thanks John, love the t shirt!! Bless you for all all your efforts!

lj
Автор

Very much needed explanation, John! Thanks as always.

ivanbravomunoz
Автор

You are rocking as always..!!
What an analogy and way of explanation..!!

soumyarahul
Автор

Awesome explanation.. loved content presentation

vijaymunavalli
Автор

Another beautifully simple explanation. Thanks once again John and well done.

ashuggtube
Автор

Best explanation on YouTube. Huge Congrats!

UlissesOliva
Автор

hi John, I really liked your videos and this one is awesome, kudos to you.

Crore
Автор

listening to this, i literally felt my brain unlocking

chvrleshd
Автор

Awesome content! Very much needed! BTW, no the most cumbersome whiteboard ever ... 😀😊

jec
Автор

Great analogy! - Wish this sort of example was given in the the Official Azure Docs!

Dalamain
Автор

Excellent tutorial! Incredibly clear and to the point.

alexmook
Автор

Awesome explanation. Thanks for sharing.. Really loved all your content😀

arjunanselvam