Data Consistency | Strong Consistency vs. Eventual Consistency | System Design for Beginners
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- čas přidán 3. 07. 2024
- System Design Concepts for Beginners. This playlist should help you prepare for your system design interviews.
This video covers the topic of consistency. What is consistency in distributed systems design, What is strong consistency vs. eventual consistency and what are the tradeoffs between them.
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The only downside of your channel is that I cannot get new content every minute. The most clear explanations I've seen for technical interview topics.
Same hehe. I need good system design soon. This channel only way left and way she explain is legends.
Thanks! Made me laugh and blush 😂😂
This is the most beginner friendly channel that treats system design. Thanks for clarifying all the ambiguous concepts.
Amazing job done explaining the concept, I really liked the visualizations and the structure of the information
Very clear and consise explanations. Thank you!
Glad I discovered your channel. I'm brushing up on these concepts before an interview and these videos are very helpful.
I checked out Guarav Sen as recommended in another video as well and he's excellent.
Your advice has made this learning process much easier. Thanks!
Easy and clear explanation. Thank you
You are so good at explaining things, thanks.
So good, very easy to understand!
loved your explanation so much! wish me good luck for my system design interview
Awesomely explained. Please keep making more content :) . Cheers!!
This channel has a lot of useful information. Thank you for sharing
thanks for your video. It helped me a lot.
You deserve more subscribers Shiran!!!❤️
Best System Design channel I have come across so far with the illustrations! Thank you.
Thank you! 😊
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great explanation
Thank you!
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Mam I am following systems design primer GitHub one and your video along side to prepare my system design video
Nice explanation and very informative Thank you.
Waiting for videos on database partitioning and sharding.
Thanks! database videos are definitely coming :)
Nice video
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Loving Yaa. Need more awesome knowledge.. Soon. Take care
☺️ More is coming :)
@@ShiranAfergan eagerly waiting..........
Where are you now a days? No more video for many months. Please make some technical video and share with us. Liked your videos
Thanks! QQ: do systems actually block read requests, or is it more reasonable to block the write’s acknowledgement until a synchronous replication quorum is reached?
I’m not sure how you’d be able to block reads fast enough on geographically separate DCs (since you’d need to send a message which will still suffer from network latency)
Thanks Shiran. When using a cloud provider (as aws), what are the pros and cons of using the managed read replica?
Like any other managed service, it saves you the trouble of doing some things manually. You won’t have to burden yourself with setup, upgrades, backup, and more. The downside of managed deployments vs unmanaged is less control over configuration. There are also other limitations (storage, number of instances…) and it costs more.
Comment of substance. trust me bro.
In case of strong consistency, how are we going to block reads while replicating data?
5:21 - what if all 3 clients are updating the view_count value on each of these nodes? Will the view_count value become 21 instead of 23 or somehow magically it will become 23 on all 3 machines?
A question, what would happend if the time until the replication message is too long and we get a get views request in the middle
considering the comment section , seems ur videos are being recommended in India more ! Who knows if eventual consistency is to be blamed for this 🤣! I like those plants waving cause of the wind !
Haha yes maybe :)
את דוברת אנגלית מלידה? יש לך תוכן ברמה גבוהה שמועבר באופן פשוט וברור. ממש אהבתי!
לא, לא מלידה. הרבה טלוויזיה וסרטים מגיל קטן עזרו 😆 תודה על התגובה! שמחה שאהבת :)
Nice video but I have a question. Let's I have my db operator deployed on kubernetes as statefulset and I set replicas to two or more.. How does kubernetes managed the replication.. Is it strong consistency or eventual? Can I configure it to my requirements?
Thanks :) Kubernetes is not related to this. The consistency of a database depends on the database you choose. For example Postgres provides strong consistency while Cassandra is more eventually consistent (might be configurable)
@@ShiranAfergan thanks i know better now
Shiran, can you elaborate on how exactly requests to replicated servers can be blocked if clients are not aware of the replication process that happens asynchronously?
The way I understand it, it's actually the write that blocks until all the replicas have also performed the write
Your read request would need to be sent to multiple servers and at least "R" of them should agree on the value before it's returned to you. Similarly, your write request would need to be completed on "W" servers before it's returned as completed. If R+W>N where N is the total number of servers, your system is strongly consistent since then there is at least one server that must contain the latest value. This, of course, comes at the cost of performance as she mentioned in the video - since you now need to wait on R (or W) servers to return. The lower the values of R and/or W, the lower the consistency of your system but higher the availability (and performance). In the extreme case, R=1 and W=1 would imply the most available but least consistent system. (Source: System Design by Alex Xu)