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ferd.ca
| | martin.kleppmann.com


3.9 parsecs

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| | davquar.it

In this introductory post on distributed systems we'll see some basic concepts such as: local and global states, consistent and inconsistent cuts, vector clocks, Chandy-Lamport's snapshot protocol.
3.4 parsecs

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| | preethikasireddy.com

Distributed systems can be difficult to understand, mainly because the knowledge surrounding them is distributed. But don't worry, I'm well aware of the irony. While teaching myself distributed computing, I fell flat on my face many times. Now, after many trials and tribulations...
3.3 parsecs

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| | johnjr.dev

When we study transactions in relational databases, one of the first things we learn are the guarantees that a transaction must provide. ACID(Atomicity, Consistency, Isolation, Durability) are the properties that we desire. Here, I will discuss the Isolation level in more detail and show that atomicity alone is not enough when handling concurrency. One classic example of the importance of atomicity is moving money between accounts. So, imagine that we have two accounts and we would like to transfer the total amount from one account to another one. In a relational database, what we need to do is three steps:
23.4 parsecs

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