Vegeta
Disruptor
Vegeta | Disruptor | |
---|---|---|
41 | 30 | |
22,730 | 17,020 | |
- | 0.4% | |
6.6 | 5.4 | |
13 days ago | 4 months ago | |
Go | Java | |
MIT License | Apache License 2.0 |
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Vegeta
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Netlify just sent me a $104K bill for a simple static site
Vegeta worth a look if you want something a bit more sophisticated: https://github.com/tsenart/vegeta
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Under Pressure: Benchmarking Node.js on a Single-Core EC2
There are tons of tools to do this, I'll use Vegeta
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Deep-dive into Vegeta - HTTP load testing tool and library
To install vegeta, grab the right download url from https://github.com/tsenart/vegeta/releases/tag/v12.11.1 and download using the below command.
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Set Up Tracing for a Node.js Application on AppSignal
One of the easiest ways to send lots of fabricated requests at the same time is to use the Vegeta load testing tool. Being a load testing tool, it can send lots of requests consistently, every second, to the given target URL. You can read more about Vegeta on GitHub. The binary can be downloaded and used without installation.
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What tools you use for http load testing?
Good morning what tool do you use to test your infra in terms of http load ? A tool that works, I tested : - https://github.com/tsenart/vegeta but it returns 0 errors or a http_net error from Golang - LOIC (Low Orbit Ion Canon) https://github.com/NewEraCracker/LOIC but the requests do not appear in my nginx logs and I feel no slowdown - Apache Jmeter https://jmeter.apache.org/ but I can't drop my infra and I have Java socket closed errors - K6 https://k6.io/ but I can't bring down my infra with - wrk https://github.com/wg/wrk no matter what parameter I put it doesn't make enough requests per second, I put the same parameters as on a tutorial and I don't get the same result...
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How does one answer performance related questions such as these for a web API?
I use tools like vegeta and wrk2 to answer those questions.
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Why use internal package and main package in the same module?
A module can be an executable and a library at the same time. For example, https://github.com/tsenart/vegeta
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Where to learn more as I scale up?
Some tools to investigate: * https://prometheus.io/ * https://github.com/tsenart/vegeta
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How to learn system performance as a beginner?
No, not at all. You just need a tool like Vegeta.
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How to Deploy and Scale Strapi on a Kubernetes Cluster 1/2
vegeta v12.8.4
Disruptor
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Gnet is the fastest networking framework in Go
https://lmax-exchange.github.io/disruptor/#_what_is_the_disr.... Unfortunately IIUC writing this in Go still prevents the spin-locked acceptor thread from achieving the kind of performance you could get in a non-GC language, unless you chose to disable GC, so I'd guess Envoy is still faster.
https://gnet.host/docs/quickstart/ it's nice that you can use this simply though. Envoy is kind of tricky to setup with custom filters, so most of the time it's just a standalone binary.
[0] https://blog.envoyproxy.io/envoy-threading-model-a8d44b92231...
[1] https://lmax-exchange.github.io/disruptor/#_what_is_the_disr...
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A lock-free ring-buffer with contiguous reservations (2019)
See also the Java LMAX Disruptor https://github.com/LMAX-Exchange/disruptor
I've built a similar lock-free ring buffer in C++11 https://github.com/posterior/loom/blob/master/doc/adapting.m...
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JEP Draft: Deprecate Memory-Access Methods in Sun.misc.Unsafe for Removal
"Why we chose Java for our High-Frequency Trading application"
https://medium.com/@jadsarmo/why-we-chose-java-for-our-high-...
LMAX Disruptor customers
https://lmax-exchange.github.io/disruptor/
Among many other examples.
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LMAX Disruptor – High Performance Inter-Thread Messaging Library
Current documentation
https://lmax-exchange.github.io/disruptor/
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Progress on No-GIL CPython
LMAX Disruptor has on their wiki that average latency to send a message from one thread to another at 53 nanoseconds. For comparison a mutex is like 25 nanoseconds and more if Contended but a mutex is point to point synchronization.
The great thing about it is that multiple threads can receive the same message without much more effort.
https://github.com/LMAX-Exchange/disruptor/wiki/Performance-...
https://gist.github.com/rmacy/2879257
I am dreaming of language that is similar to Smalltalk that stays single threaded until it makes sense to parallise.
I am looking for problems to parallelism that are not big data. Parallelism is like adding more cars to the road rather than increasing the speed of the car. But what does a desktop or mobile user need to do locally that could take advantage of the mathematical power of a computer? I'm still searching.
- Disruptor 4.0.0 Released
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Anything can be a message queue if you use it wrongly enough
Database config should be two connection strings, 1 for the admin user that creates the tables and anther for the queue user. Everything else should be stored in the database itself. Each queue should be in its own set of tables. Large blobs may or may not be referenced to an external file.
Shouldn't a message send be worst case a CAS. It really seems like all the work around garbage collection would have some use for in-memory high speed queues.
Are you familiar with the LMAX Disruptor? Is is a Java based cross thread messaging library used for day trading applications.
https://lmax-exchange.github.io/disruptor/
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Any library you would like to recommend to others as it helps you a lot? For me, mapstruct is one of them. Hopefully I would hear some other nice libraries I never try.
Disruptor for inter-thread messaging
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Measuring how much Rust's bounds checking actually costs
I have never worked in any industries where a perf margin was that small. It is funny, in HFT there are folks using Lmax (Java) and then you have folks writing their own TCP/IP stacks on FPGAs to do trading.
What are some alternatives?
k6 - A modern load testing tool, using Go and JavaScript - https://k6.io
JCTools
Hey - HTTP load generator, ApacheBench (ab) replacement
Agrona - High Performance data structures and utility methods for Java
Gatling - Modern Load Testing as Code
fastutil - fastutil extends the Java™ Collections Framework by providing type-specific maps, sets, lists and queues.
kubernetes - Production-Grade Container Scheduling and Management
MPMCQueue.h - A bounded multi-producer multi-consumer concurrent queue written in C++11
bombardier - Fast cross-platform HTTP benchmarking tool written in Go
Eclipse Collections - Eclipse Collections is a collections framework for Java with optimized data structures and a rich, functional and fluent API.
Apache JMeter - Apache JMeter open-source load testing tool for analyzing and measuring the performance of a variety of services
Javolution