What is CAP Theorem?

[@omshreepal9174]

the level of example and explanation you gave ,🎩 off , sir....

[@Best-Regions]

Best and most visual explanation I've seen. Thank you

[@cyclingdude7018]

Thanks Kamran! Love how you explain everything building up to the point without leaving us confused in the end.

[@jasper5016]

Always had difficulty understanding this concept. Thanks so much.

[@cartrivia8379]

Most important points at the last, In distributed system we can't avoid partition (network failure) , so system should be always partition tolerance, so now choice is always between either consistency or availability.

[@mearn_ctaftsman]

Crystal clear sir 🙏

[@onlycodingjeet]

great explanation. Thank you

[@sparkestic1238]

Great explanation

[@RetroFrequency]

Great explanation!

[@surajitpradhan446]

Thank you so much

[@NguyenTuan-ek1pv]

Good video

[@JoyWithShorts]

When to choose Consistency and when to choose Availability?

[@kamakshijayaraman3747]

thank you

[@anshulnagpal1479]

In case of "Partition Tolerance" Cannot we achieve Both Consistency and Availability by having redundant connections in between System S1 and System S2. One setting could be having another System S3 that connects both S1 and S2. That way Both Systems are always connected either directly or indirectly. In fact in real world applications, we have Distributed Systems with more than 2 Nodes.

[@roadmapsh]

It doesn't really matter how you connect the nodes. Partition is not only specific to network issues but the failure of node S2 is also going to be considered as partition - what if S2 itself is dead and can't receive or process any messages; it doesn't really matter how the nodes are connected in that case. You might find this article interesting: codahale.com/you-cant-sacrifice-partition-tolerance

[@mherify]

So what is the solution to this problem?

[@anshulnagpal1479]

BTW, What Software do you use for making dynamic presentations ?

[@roadmapsh]

It's Keynote

[@nsandeep7574]

smooth!

[@sagarmehta3515]

Great explanation