📝State/Status Segregation (S3) Pattern Making Systems More Predictable by Separating Lifecycle from Context
🔍 In complex systems, mixing up state and status often leads to bloated models, fragile logic, and unpredictable behavior.
This paper, written by Masoud Bahrami, introduces the State/Status Segregation (S3) pattern, a modeling principle that cleanly separates lifecycle control (state) from contextual signals and side conditions (status).
❇️By applying S3, you can design systems with clearer APIs, more predictable behavior, and codebases that are easier to test, evolve, and reason about.
📝State/Status Segregation (S3) Pattern Making Systems More Predictable by Separating Lifecycle from Context
🔍 In complex systems, mixing up state and status often leads to bloated models, fragile logic, and unpredictable behavior.
This paper, written by Masoud Bahrami, introduces the State/Status Segregation (S3) pattern, a modeling principle that cleanly separates lifecycle control (state) from contextual signals and side conditions (status).
❇️By applying S3, you can design systems with clearer APIs, more predictable behavior, and codebases that are easier to test, evolve, and reason about.
BY Agile Software Architecture-Microservices
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To pay the bills, Mr. Durov is issuing investors $1 billion to $1.5 billion of company debt, with the promise of discounted equity if the company eventually goes public, the people briefed on the plans said. He has also announced plans to start selling ads in public Telegram channels as soon as later this year, as well as offering other premium services for businesses and users.
Dump Scam in Leaked Telegram Chat
A leaked Telegram discussion by 50 so-called crypto influencers has exposed the extraordinary steps they take in order to profit on the back off unsuspecting defi investors. According to a leaked screenshot of the chat, an elaborate plan to defraud defi investors using the worthless “$Few” tokens had been hatched. $Few tokens would be airdropped to some of the influencers who in turn promoted these to unsuspecting followers on Twitter.
