artillery
RabbitMQ
artillery | RabbitMQ | |
---|---|---|
29 | 92 | |
7,486 | 11,608 | |
1.1% | 1.0% | |
9.7 | 10.0 | |
3 days ago | 6 days ago | |
JavaScript | Starlark | |
Mozilla Public License 2.0 | GNU General Public License v3.0 or later |
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.
artillery
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Ask HN: What are you using for load testing?
Usually, I would let organic users be my load test. However, I am working on a project that has an anticipated load on a new-to-my-team stack, so I'm looking into ways to load test.
I've seen tools like k6 (https://k6.io/), Artillery (https://www.artillery.io), and JMeter (https://jmeter.apache.org/).
I've been using Artillery, but it's hard to visualize the results.
What do you use?
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Tracetest + Artillery Launch Week Recap 💥
This week was Tracetest’s first-ever Launch Week. We’ve been working on a major integration with Artillery for the last month and our team is beyond excited to share it with you all!
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Building Llama as a Service (LaaS)
I found a tool for load testing called Artillery. Following this guide I installed Artillery and began research for the test configuration.
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Ruby on Rails load testing habits
This is a great blog post! just taking the opportunity here to comment on this:
> Finally for full scale high fidelity load tests there are relatively few tools out there for browser based load testing.
It exists as of a few months ago and it's fully open source: https://github.com/artilleryio/artillery (I'm the lead dev). You write a Playwright script, then run it in your own AWS account on serverless Fargate and scale it out horizontally as you see fit. Artillery takes care of spinning up and down all of the infra. It will also automatically grab and report Core Web Vitals for you from all those browser sessions, and we just released support for tracing so you can dig into the details of each session if you want to (OpenTelemetry based so works with most vendors- Datadago APM, New Relic etc)
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Rust and Lambda Performance
So not to stress test Momento or AWS' Lambda, I wanted to build a small but stable 10-minute workload that hits the Momento Topic API and then let Momento trigger the FunctionURL to run the Lambda code. I wrote a small Artillery config file that ramps up to 20 users and then sustains that for the duration. Again, the script is simple to trigger the work.
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API Benchmarking with Artillery and Gitpod: Emulating Production for Enterprises
Tool Spotlight: Featuring insights on how Artillery and Gitpod can enhance and streamline the benchmarking process.
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Timing with Curl (2010)
curl is fantastic. There's also HTTPStat which provides a waterfall visualization on top of curl timings: https://github.com/reorx/httpstat
There's also Skytrace (made by yours truly), which provides timing info as a waterfall visualization inspired by HTTPStat + lots more (syntax highlighting for responses, built-in JMESPath support, command-line assertions and checks etc) - https://github.com/artilleryio/artillery/tree/main/packages/...
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Ask HN: What do you use to stress test your web application?
https://www.artillery.io/
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Is there a way to auto-scale when using the cluster module?
I know it's an annoying answer, but it depends on your application. The only true way to know is to test it using a load tester like artillery. Measuring performance is a fundamental part of any optimisation (otherwise how do you know?), so it's a great idea to be using tools like this anyway.
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Comparison between ARM64 and X86_X64 on ECS Fargate (Node.js)
For this test I have used artillery.io with the following configuration:
RabbitMQ
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Building Llama as a Service (LaaS)
Although they did not make it into production, I experimented with the RabbitMQ message broker, Python (Django, Flask), Kubernetes + minikube, JWT, and NGINX. This was a hobby project, but I intended to learn about microservices along the way.
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A Developer's Journal: Simplifying the Twelve-Factor App
Messaging/Queueing Systems (Amazon SQS, RabbitMQ, Beanstalkd)
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FastStream: Python's framework for Efficient Message Queue Handling
Later, we discovered Propan, a library created by Nikita Pastukhov, which solved similar problems but for RabbitMQ. Recognizing the potential for collaboration, we joined forces with Nikita to build a unified library that could work seamlessly with both Kafka and RabbitMQ. And that's how FastStream came to be—a solution born out of the need for simplicity and efficiency in microservices development.
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The Complete Microservices Guide
Inter-Service Communication: Middleware provides communication channels and protocols that enable microservices to communicate with each other. This can include message brokers like RabbitMQ, Apache Kafka, RPC frameworks like gRPC, or RESTful APIs.
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Project Structure Review [.Net] [Console]
This is an implementation of pub/sub. The publisher is on a separate project. The message broker is Azure Service Bus. We use NServiceBus for code implementation. I use rabbitMQ broker for local tests. Nothing I can do about the tech stack. This is more of a high level single project structure review 😅
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The Role of Queues in Building Efficient Distributed Applications
RabbitMQ is a robust and highly configurable open-source message broker that implements the Advanced Message Queuing Protocol (AMQP).
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Should I chain calls in backend?
When using third-party services, especially within a "transaction", it's often a good idea to use a persistent Message Queue (MQ) system like RabbitMQ. Go through all their tutorials to get a really good understanding of how message queues work and how they can be used to solve your problem.
- Node still seems better than python after all this time for web server speed but..
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Delayed events pattern, no more crons
The best technical solution to provide the event queues is to use a message-broker technology like RabbitMQ.
- RabbitMQ 3.12.0 Released
What are some alternatives?
k6-examples - Project using K6 and Javascript to create scenarios of Load and Stress Test
NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.
k6 - A modern load testing tool, using Go and JavaScript - https://k6.io
mosquitto - Eclipse Mosquitto - An open source MQTT broker
Apache JMeter - Apache JMeter open-source load testing tool for analyzing and measuring the performance of a variety of services
MediatR - Simple, unambitious mediator implementation in .NET
locust - Write scalable load tests in plain Python 🚗💨
nsq - A realtime distributed messaging platform
wrk2 - A constant throughput, correct latency recording variant of wrk
BeanstalkD - Beanstalk is a simple, fast work queue.
siege - Siege is an http load tester and benchmarking utility
rq - Simple job queues for Python