Aeron
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JCTools | Aeron | |
---|---|---|
2 | 20 | |
3,471 | 7,054 | |
1.0% | 1.1% | |
4.6 | 9.8 | |
6 days ago | 5 days ago | |
Java | Java | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
JCTools
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if you had to restart at 0 knowledge what would you do?
Install some tool that would help you see the performance of your system, like a graph of the CPU usage, the top processes being used, disk activity/read/write, etc. Every time you run your program, glance at those numbers, eventually you'll develop an intuition. Basically write code and profile. A good exercise would be practicing with data structures, this site has an exhaustive list of them, find some stuff that's interesting then google the implementation, then build it yourself, test it, debug, profile, optimize, and understand the performance constraints. Eventually you'll develop better understanding and can compare between other people's works, optimizing them. If you want to go beyond, read some papers on lock-free algorithms https://github.com/JCTools/JCTools/tree/master/resources then read Brendan Gregg's blog and books. Read about how profiling tools work https://github.com/andikleen/pmu-tools/wiki/toplev-manual
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What do implementations that use Unsafe do to be able to compile?
If I fork this implementation's repo and then publish a release (of the forked version) with my own commits via jitpack.io (committing with Android Studio IDE).
Aeron
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LMAX Disruptor – High Performance Inter-Thread Messaging Library
Semi-related is the Aeron project: https://github.com/real-logic/aeron
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Nálatok mi a helyzet?
- ez itt most egy izgalmasabb product (trading/matching engine, low latency code, aeron alapokon)
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How do you do UDP Flow control?
Look into Aeron for examples of high performance UDP message sending. We use it for high performance audio messaging, and I previously used it in high frequency trading https://github.com/real-logic/aeron. It is written in Java/C, but the general concepts of back pressure and reliable delivery over UDP are well documented.
- Aeron: Efficient reliable UDP unicast, UDP multicast, and IPC message transport
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Experience taking the training offer from real-logic Aeron framework creators?
They mention their training offer on the Aeron GitHub page here: https://github.com/real-logic/aeron
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Low Latency C++ programs for High Frequency Trading (HFT)
Yup the Disruptor paper actually shocked the industry a bit, b/c it was so out of place. BTW, Martin Thompson went on improving the Disruptor, and the result is the Aeron Protocol: https://github.com/real-logic/aeron
- What network messaging library do you recommend?
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Possibly stupid question, is java the right language for low latency and high throughput web servers?
I was about to suggest Chronicle, but it looks like they have gone closed-source. The older version is still interesting to look through though. Aeron / Disruptor / SBE are good projects for inspiration as well.
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Looking similar framework with Aeron ( Java) to do benchmark test
We are using this Java Aeron (https://github.com/real-logic/aeron) to build our production distributed messaging cluster. As a Rust lover, Is there any similar lib or framework in our ecosystem to test benchmark with it?
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if you had to restart at 0 knowledge what would you do?
Java: In the past years C++ in finance has been rapidly supplanted by Java thanks to breakthrough technologies in the past decade like LMAX Disruptor, Chronicle Queue, Azul JVM, and Aeron (not the ergonomic chair, but this one, the transport protocol that breaks kafka performance records out of the park - not really a full kafka replacement, as Kafka enforces subscriber GD and aeron is more of an OSI layer 4 better than TCP; google "Best-effort delivery vs reliable delivery"). There's plenty more but thanks to these technologies, they allowed a Java based stack to perform the latency and throughput requirements needed for high frequency trading/HFT. From top trading firms like Two Sigma to the New York Stock Exchange, they're in Java. For banks, large modern western banks worth their salt and have modernized their systems are dominated by Java, especially thanks to Azul. To list a few banks, ING, Wells Fargo, Credit Suisse, and Barclays are all in Azul. Even at work Java still dominates.
What are some alternatives?
Disruptor - High Performance Inter-Thread Messaging Library
Apache Kafka - Mirror of Apache Kafka
Agrona - High Performance data structures and utility methods for Java
Embedded RabbitMQ - A JVM library to use RabbitMQ as an embedded service
fastutil - fastutil extends the Java™ Collections Framework by providing type-specific maps, sets, lists and queues.
Apache Pulsar - Apache Pulsar - distributed pub-sub messaging system
Koloboke - Java Collections till the last breadcrumb of memory and performance
Apache ActiveMQ - Mirror of Apache ActiveMQ
Eclipse Collections - Eclipse Collections is a collections framework for Java with optimized data structures and a rich, functional and fluent API.
JeroMQ - Pure Java ZeroMQ
GS Collections - GS Collections has been migrated to the Eclipse Foundation, re-branded as Eclipse Collections. https://www.eclipse.org/collections/
Apache Camel - Apache Camel is an open source integration framework that empowers you to quickly and easily integrate various systems consuming or producing data.