Hey
bombardier

Hey | bombardier | |
---|---|---|
42 | 10 | |
18,504 | 6,173 | |
0.8% | 1.2% | |
0.0 | 2.1 | |
6 months ago | 7 months ago | |
Go | Go | |
Apache License 2.0 | MIT License |
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Hey
- [Bahasa] Tracer: Open Telemetry, Golang, and Jagger Simple Implementation
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Amazon DevOps Guru for the Serverless applications - Part 12 Anomaly detection on Lambda consuming from DynamoDB Streams
We can reproduce the failure with curl or hey tool, so that we have many failed UpdateProduct Lambda functions.
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Amazon DevOps Guru for the Serverless applications - Part 11 Anomaly detection on SNS (kind of)
Then I sent several hundreds create product requests via the hey tool like :
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Amazon DevOps Guru for the Serverless applications - Part 10 Anomaly detection on Aurora Serverless v2
As in the previous article we use hey tool to perform the load test like this
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AWS SnapStart - Part 19 Measuring cold starts and deployment time with Java 17 using different Lambda memory settings
The results of the experiment below were based on reproducing approximately 100 cold starts for the duration of our experiment which ran for approximately 1 hour. For it (and all experiments from my previous articles) I used the load test tool hey, but you can use whatever tool you want, like Serverless-artillery or Postman
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Data API for Amazon Aurora Serverless v2 with AWS SDK for Java - Part 5 Basic cold and warm starts measurements
The results of the experiment to retrieve the existing product from the database by its id see GetProductByIdViaAuroraServerlessV2DataApiHandler with Lambda function with 1024 MB memory setting were based on reproducing more than 100 cold and approximately 10.000 warm starts with experiment which ran for approximately 1 hour. For it (and experiments from my previous article) I used the load test tool hey, but you can use whatever tool you want, like Serverless-artillery or Postman. We won't enable SnapStart on the Lambda function first.
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AWS SnapStart - Part 15 Measuring cold and warm starts with Java 21 using different synchronous HTTP clients
The results of the experiment below were based on reproducing more than 100 cold and approximately 100.000 warm starts with experiment which ran for approximately 1 hour. For it (and experiments from my previous article) I used the load test tool hey, but you can use whatever tool you want, like Serverless-artillery or Postman. I ran all these experiments for all 3 scenarios using 2 different compilation options in template.yaml each:
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AWS SnapStart - Part 13 Measuring warm starts with Java 21 using different Lambda memory settings
In our experiment we'll re-use the application introduced in part 9 for this. There are basically 2 Lambda functions which both respond to the API Gateway requests and retrieve product by id received from the API Gateway from DynamoDB. One Lambda function GetProductByIdWithPureJava21Lambda can be used with and without SnapStart and the second one GetProductByIdWithPureJava21LambdaAndPriming uses SnapStart and DynamoDB request invocation priming. We'll measure cold and warm starts using the following memory settings in MBs : 256, 512, 768, 1024, 1536 and 2048. I also put the cold starts measured in the part 12 into the tables to see both cold and warm starts in one place. The results of the experiment below were based on reproducing more than 100 cold and approximately 100.000 warm starts for the duration of our experiment which ran for approximately 1 hour. Here is the code for the sample application. For it (and experiments from my previous article) I used the load test tool hey, but you can use whatever tool you want, like Serverless-artillery or Postman. Abbreviation c is for the cold start and w is for the warm start.
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Diagnósticos usando dotnet-monitor + prometheus + grafana
Por último, podemos executar os testes de carga usando hey.
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Amazon DevOps Guru for the Serverless applications - Part 2 Setting up the Sample Application for the Anomaly Detection
For running our experiments to provoke anomalies we'll use the stress test tool. You can use the tool of your choice (like Gatling, JMeter, Fiddler or Artillery), I personally prefer to use the tool hey as it is easy to use and similar to curl. On Linux this tool can be installed by executing
bombardier
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Performance Testing: Total.js vs. NestJS
Testing Tool: Bombardier (for simulating high-concurrency requests)
- Bombardier: Fast cross-platform HTTP benchmarking tool written in Go
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Discussion: Are we entering the golden age of hacking, where software written by language models that "looks correct" to the lazy human operator is used despite being full of vulnerabilities?
Why? There is a ready script for that https://github.com/codesenberg/bombardier
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My Rust server on a $20 VPS handles 10k requests per second with no caching. Is it just me or is that crazy ?
You could try to just blast it with wrk or bombardier. Can easily get around 50k requests on consumer machine.
- codesenberg/bombardier: Fast cross-platform HTTP benchmarking tool written in Go
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Hosting for a fast Rust API
Sorry if this is a bit out of subject but this is a question how to deploy a Rust API. Just finished a GraphQL API and benchmarking when spawn locally on my Apple M1 I get 30k req/sec (super fast!) but when deployed to digitalocean, with a Docker image, on any of their apps size I get about ~200/sec, up to 500/sec max (60x less!) if running bombardier from the same network. I tried Heroku which gets me similar results as well.
- Ukraine calls on hacker underground to defend against Russia
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Estou a ser burlado (tenho um anúncio no OLX), e a gostar. Deixa ver até onde isto vai.
Podes utilizar algo como o bombardier.
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Marble.js vs. Express.js: Comparing Node.js web frameworks
For testing, I’ll use the Go Bombardier package, which runs 5000000 requests with 125 concurrent connections with the following command:
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What's the fastest template parser in Go?
Bombardier
What are some alternatives?
Vegeta - HTTP load testing tool and library. It's over 9000!
k6 - A modern load testing tool, using Go and JavaScript - https://k6.io
anteon - Anteon (formerly Ddosify) - Effortless Kubernetes Monitoring and Performance Testing. Available on CLI, Self-Hosted, and Cloud
Rump - Hot sync two Redis servers using dumps.
grpcurl - Like cURL, but for gRPC: Command-line tool for interacting with gRPC servers
s3gof3r - Fast, concurrent, streaming access to Amazon S3, including gof3r, a CLI. http://godoc.org/github.com/rlmcpherson/s3gof3r
siege - Siege is an http load tester and benchmarking utility
Marble.js - Marble.js - functional reactive Node.js framework for building server-side applications, based on TypeScript and RxJS.
script - Making it easy to write shell-like scripts in Go
