In the presence of partial failure, even the most basic rules for reasoning about computations do not hold
-An Equational Theory for Transactions
The very essence of distributed systems
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Monday Morning Musings ☀️
Distributed systems and consensus enthusiasts know the rule: we need 2f 1 processes to tolerate up to f failures.
Can you explain why in a way that makes anybody say 'Of course, now I get it'
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Exploring the effects of concurrency and distribution in Python with a custom scheduler that simulates partial order and partial failure with retries
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Formal Methods and a Formal Methods-inspired way of Thinking are the Raptor 3 of software engineering: crystal-clear and razor-sharp
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The first day of NDC { Oslo } has kicked off. If you're attending the conference, don't miss my talk on Distributed Async Await
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New issue of The Weekend Read just dropped, we are building a minimal Distributed Async Await framework in 60 lines of js code
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Discussing Deterministic Simulation Testing inevitably leads to the topic of determinism
Question: When is a software system deterministic, and is determinism an absolute property
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Wednesday Wisdom
Exploring 𝗔𝘀𝘆𝗻𝗰 𝗘𝘅𝗲𝗰𝘂𝘁𝗶𝗼𝗻𝘀 and 𝗚𝗿𝗲𝗲𝗻 𝗧𝗵𝗿𝗲𝗮𝗱𝘀, are they fundamentally the same or are they different?!
What do you think?!
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Distributed Systems are inherently complex due to their departure from the principles that make sequential systems simple
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𝗪𝗲𝗲𝗸𝗲𝗻𝗱 𝗤𝘂𝗶𝘇
In the world of software systems, why is total failure more manageable than partial failure?!
Share your thoughts
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Trying something new (for me), recording short 3 to 5 min videos.
First up, an introduction to 𝗗𝗲𝘁𝗲𝗿𝗺𝗶𝗻𝗶𝘀𝘁𝗶𝗰 𝗦𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝗧𝗲𝘀𝘁𝗶𝗻𝗴
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Using Alloy Analyzer to explore the traditional async await programming model
In order to model Distributed Async Await, we need to add the notion of a process to reason about local and remote steps
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