Distributed systems
Wikipedia defines a distributed system as a “software system in which components located on networked computers communicate and coordinate their actions by passing messages.”
In modern world, more and more systems become distributed. Yet, surprisingly few authors write about practical architecture of distributed systems. As our Hare have architected all kinds of distributed systems, from a stock exchange to a billion-messages-a-day game, we’re in a very good position to fill this gap.
MECHLOVE Blueprint - 1/7. General: Pretty Much Classical RDBMS at Heart, with Each and Every Component Rewritten
September 30, 2026 by • “No Bugs” Bunny
Filed under: On.System ArchitectureDistributed systems
Read moreScaling Stateful Objects
June 27, 2017 by • “No Bugs” Bunny
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it is DB which is usually The Bottleneck™ – it means that we’re saving this enormous amount of load, exactly where it really matters.
Another Quote:
as discussed above, the real-world task is always about scaling the whole system, including database; and in this regard Stateless-App-based systems exhibit significant problems.
Filed under: Book: D&D of MOGs1st beta of Vol. VII-IXOn.System ArchitectureDistributed systems
Read moreGradual OLTP DB Development - from Zero to 10 Billion Transactions per Year and Beyond
December 13, 2016 by • “No Bugs” Bunny
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to make an efficient representation usable for OLAP – we need to modify our data on its way to OLAP replicas
Another Quote:
Each of the DB Server Apps is a replica master, but all replica targets are within the same Replica DB
Filed under: Book: D&D of MOGs1st beta of Vol. IV-VIOn.System ArchitectureDesign decisionsDistributed systems(Re)Actors
Read moreDeterministic Components for Distributed Systems
August 22, 2016 by • “No Bugs” Bunny
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Then you can recover from any single server failure in a perfectly transparent manner
Another Quote:
after the program fails in production, we can get the input log and run it in the comfort of a developer’s machine, under a debugger, as many times as we want, and get exactly the same variables at exactly the same points as happened in production
Filed under: On.System ArchitectureDistributed systems(Re)ActorsOn.ProgrammingDebugging
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