What is CAP Theorem?

[@malchikovma]

Explanation is great. Also I like the background combined with this black t-shirt and the invisible whiteboard.

[@sndselecta]

Im still trying to understand the partition part of CAP, is that the distributed phase? If a DB is distributed, each version becomes a partition, and then the need for some sort of synchronization occurs to provide consistency so everyone sees the same data?

[@Locustfiretree]

Yeah, I think you got it. In the context of CAP, we're already talking about a system that is partition-tolerant; i.e. distributed. CAP is really: in a partition-tolerant system (distributed), you need to make a tradeoff between consistency (everyone sees the same data) and availability (everyone can use the system). But you can't have both. An example of partition-tolerant are two databases in physically different locations (even different countries) that need to have the same data (synchronised).

[@scuffed_content]

I want to commend you on your ability to draw sdrawkcab so well. Even if you dellepssim availability.

[@iamsenorespana]

very clever :-) Yes it happens sometimes the sgnillepssim when writing and mixing colors, etc.

[@JiwaChhetri]

best video on this topic, no cap

[@Superman_Kryptonite]

example DB of CA?

[@johnconnor9787]

Probably it is not possible... but I am not sure...

[@fireystella]

this guy is the best! thanks so much! learning so much from you

[@dpm_07]

This man is so cool ! I really want to meet him Damn man...

[@alfiedotwtf]

The content was great, but that's an 11/10 for writing backwards with such neat hand writing!

[@farismamnoon1652]

Mirrored Video?

[@andreyvalverde4780]

Superb video!

[@johnconnor9787]

CA is not possible at all right?

[@johnconnor9787]

What about CA?

[@thesuperfilms]

How does a master-slave architecture then imply that data is consistent? It depends on the specific consensus protocol. Obviously if you read from a slave before it has time to copy over the txn logs, the data will be stale.

[@arpitnama420]

I suspect, in master-slave cases, the client will only read/write from the master node. The slaves will replicate the data and be ready to replace the master in case of partition failure.

[@Van_Verder]

Great explanation, thx!

[@petchpaitoon]

What about the Confluent Kafka that work as data store ? What kind of CAP that it will archeive ?

[@iamsenorespana]

It certainly would @petchpaitoon . The guidelines for this Theorem that should be a consideration for all things distributed which especially applies for the cloud native world. For me, I would say that it accomplishes A-P, where the Consistency happens eventually as data is synchronized across partitions or replicated to individual instances. There is also a special config in Kafka to tell it to acknowledge receipt once replication has occurred between all the brokers ( a basic Kafka Cluster consists of 3 brokers ). Let me know if you have any further questions or have any thoughts on any new videos I could do to further go deeper in this topic.

[@zimopengppl5265]

mans looks like a floating head with arms

[@abhinav2554131]

Availability **

[@iamsenorespana]

Thanks Abhinav, yes looks like I missed that one in the heat of the moment :-)

[@syedzafar2511]

Still trying to understand how this guy writes in reverse

[@yasu9493]

Set a camera behind a glass wall and film it, and then flip the video horizontally

[@pavliv]

@@yasu9493 Oooh sneaky sneaky

[@karolstylok542]

nice

[@HemantKumar-zs2gz]

First person to learn

[@ManojMathai]

its availAbility

[@NicolasAlbamurillo]

Notice he is writing in the opposite direction xD, It would be hard for me.

[@IBMTechnology]

We flip it in post-production. Search on "lightboard videos" for more details

[@huntingvega3876]

Epic .

[@anshumansingh7315]

Not clear ....not a good video sorry