Hey
siege
Hey | siege | |
---|---|---|
42 | 11 | |
18,413 | 6,002 | |
1.0% | 0.6% | |
0.0 | 3.7 | |
5 months ago | 2 months ago | |
Go | C | |
Apache License 2.0 | GNU General Public License v3.0 only |
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.
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
siege
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Maximizing Laravel's potential: Strategies for high-performance optimization
Benchmarking: Benchmarking is the process of testing the performance of your application under a specific workload or set of conditions. You can use tools like Apache Bench or Siege to simulate load on your application and measure how it performs.
- Which tools do you use to perform automated testing of APIs? Also how many concurrent HTTP requests can Node handle?
- Simple, open-source, lightweight stress tool
- How can I anticipate load balancing needs?
- TCP echo-server performance: Asio, Tokio, Libuv, Nodejs, Go
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Can I DOS a computer on my own network (Legally/safely)
You can use things like Siege to DOS stress-test.
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How to know maximum users that can run on my website server?
I have used siege in the past. It's been a while, though.
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Is there a program that can generate network traffic? Please help!
Siege.
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How to push ten thousand requests for load testing?
Check this out: https://github.com/JoeDog/siege
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Best way to benchmark and load test an api.
I like https://github.com/JoeDog/siege for quick and dirty. A bit more flexible than apache bench
What are some alternatives?
Vegeta - HTTP load testing tool and library. It's over 9000!
locust - Write scalable load tests in plain Python 🚗💨
k6 - A modern load testing tool, using Go and JavaScript - https://k6.io
wrk - Modern HTTP benchmarking tool
bombardier - Fast cross-platform HTTP benchmarking tool written in Go
wrk2 - A constant throughput, correct latency recording variant of wrk
anteon - Anteon (formerly Ddosify) - Effortless Kubernetes Monitoring and Performance Testing. Available on CLI, Self-Hosted, and Cloud
beeswithmachineguns - A utility for arming (creating) many bees (micro EC2 instances) to attack (load test) targets (web applications).
grpcurl - Like cURL, but for gRPC: Command-line tool for interacting with gRPC servers
artillery - The complete load testing platform. Everything you need for production-grade load tests. Serverless & distributed. Load test with Playwright. Load test HTTP APIs, GraphQL, WebSocket, and more. Use any Node.js module.
script - Making it easy to write shell-like scripts in Go
hey - Hey is a decentralized and permissionless social media app built with Lens Protocol 🌿