GitHub - eventsourcing/es4j: Event capture and querying framework for Java
Instead of mutating data in a database, Eventsourcing stores all changes (events) and what caused them (commands). To make this data useful, Eventsourcing builds indices over it. This helps developing applications faster because there is no need to worry about designing the right domain models upfront (or as close to right as possible). By keeping all the commands and events, we can enrich or chan
Log4j 2: Performance close to insane
Recently a respected member of the Apache community tried Log4j 2 and wrote on Twitter: @TheASF #log4j2 rocks big times! Performance is close to insane ^^ http://t.co/04K6F4Xkaa — Mark Struberg (@struberg) May 7, 2013 (Quote from Mark Struberg: @TheASF #log4j2 rocks big times! Performance is close to insane ^^ http://logging.apache.org/log4j/2.x/ ) It happened shortly after Remko Popma contributed
Java Core | Understanding the Disruptor: a Beginner's Guide to Hardcore Concurrency | Trisha Gee & Mike Barker
Java Core | Understanding the Disruptor: a Beginner's Guide to Hardcore Concurrency | Trisha Gee & Mike BarkerAI-enhanced description The document discusses the complexities of concurrency in programming, particularly how performance can be affected by different methods of managing shared data. It emphasizes the importance of understanding program order, contention costs, and various implementatio
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Comparision of different concurrency models: Actors, CSP, Disruptor and Threads
MentaQueue - A super-fast two-thread messaging queue!
Asynchronous loggers :: Apache Log4j
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