Add PACELC theorem
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README.md
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README.md
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@ -104,6 +104,7 @@ Review the [Contributing Guidelines](CONTRIBUTING.md).
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* [Performance vs scalability](#performance-vs-scalability)
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* [Performance vs scalability](#performance-vs-scalability)
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* [Latency vs throughput](#latency-vs-throughput)
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* [Latency vs throughput](#latency-vs-throughput)
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* [Availability vs consistency](#availability-vs-consistency)
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* [Availability vs consistency](#availability-vs-consistency)
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* [PACELC theorem](#PACELC-theorem)
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* [CAP theorem](#cap-theorem)
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* [CAP theorem](#cap-theorem)
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* [CP - consistency and partition tolerance](#cp---consistency-and-partition-tolerance)
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* [CP - consistency and partition tolerance](#cp---consistency-and-partition-tolerance)
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* [AP - availability and partition tolerance](#ap---availability-and-partition-tolerance)
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* [AP - availability and partition tolerance](#ap---availability-and-partition-tolerance)
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@ -437,6 +438,22 @@ Generally, you should aim for **maximal throughput** with **acceptable latency**
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## Availability vs consistency
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## Availability vs consistency
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### PACELC theorem
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<p align="center">
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<img src="images/PACELC.png" width="600" height="300">
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<br/>
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<i><a href=https://github.com/Ahmad-alsanie/system-design-examples/blob/main/images/PACELC.png>Source: PACELC theorem </a></i>
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</p>
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If there's a partition; a system can trade of between A(availability) and C(Consistency).
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Else the trade of is in between C(consistency) and L(latency)
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<p align="center">
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<img src="images/pacelcDBs.png">
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<br/>
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<i><a href=https://en.wikipedia.org/wiki/PACELC_theorem>Source: PACELC theorem </a></i>
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</p>
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### CAP theorem
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### CAP theorem
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<p align="center">
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<p align="center">
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