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https://github.com/jonatan-ivanov/resourceater
Eats all of your resources :)
https://github.com/jonatan-ivanov/resourceater
gradle hacktoberfest java jdk jre jvm monitoring observability spring spring-boot
Last synced: about 1 month ago
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Eats all of your resources :)
- Host: GitHub
- URL: https://github.com/jonatan-ivanov/resourceater
- Owner: jonatan-ivanov
- Created: 2019-04-06T02:33:13.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2024-09-12T22:03:22.000Z (2 months ago)
- Last Synced: 2024-09-30T13:42:34.399Z (about 2 months ago)
- Topics: gradle, hacktoberfest, java, jdk, jre, jvm, monitoring, observability, spring, spring-boot
- Language: Java
- Homepage:
- Size: 652 KB
- Stars: 19
- Watchers: 5
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
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# resourceater
Resourceater is a Java based web service which consumes your resources on demand. It can be useful to simulate high resource needs. It can consume the following resources:
- Heap by creating byte arrays (this also simulates memory leaks)
- Off-Heap by allocating direct byte buffers
- CPU by spinning up threads which can make the cores busy
- Disk by creating big files
- Threads by creating simple daemon threads which are doing nothing
- Servlet Container Threads by calling itself and blocking the Container's (Tomcat) thread
- Classes by generating new classes and loading them on-the-fly
- Network by downloading large files over HTTP
- Sockets by creating server sockets
# Endpoints
Check [ReDoc](https://jonatan-ivanov.github.io/resourceater/) or the [Swagger-UI](http://localhost:8080/swagger-ui/index.html)
# Examples
## Heap
```sh
curl -s -X POST "http://localhost:8080/resources/objects" -H "Content-Type: application/json" -d "{ \"size\": \"1MB\"}"
```
## Off-Heap
```sh
curl -s -X POST "http://localhost:8080/resources/directBuffers" -H "Content-Type: application/json" -d "{ \"size\": \"1MB\"}"
```
## CPU
```sh
curl -s -X POST "http://localhost:8080/resources/cores" -H "Content-Type: application/json" -d "{ \"size\": 1}"
```
## Disk
```sh
curl -s -X POST "http://localhost:8080/resources/files" -H "Content-Type: application/json" -d "{ \"size\": \"1MB\"}"
```
## Threads
```sh
curl -s -X POST "http://localhost:8080/resources/threadPools" -H "Content-Type: application/json" -d "{ \"size\": 1}"
```
## Container Threads
```sh
curl -s -X POST "http://localhost:8080/resources/containerThreads" -H "Content-Type: application/json" -d "{ \"size\": 1}"
```
## Classes
```sh
curl -s -X POST "http://localhost:8080/resources/classPools" -H "Content-Type: application/json" -d "{ \"size\": 1}"
```
## Network
```sh
curl -s -X POST "http://localhost:8080/resources/httpClients"
```
## Sockets
```sh
curl -s -X POST "http://localhost:8080/resources/socketPools" -H "Content-Type: application/json" -d "{ \"size\": 1}"
```
# Monitoring
The project is using [micrometer](https://micrometer.io/) and it also opens JMX on port `8686`; they give you a lot of information about what is going on under the hood, e.g.:
- Metrics endpoint: [/actuator/metrics](http://localhost:8080/actuator/metrics)
- Heap usage: [/actuator/metrics/jvm.memory.used?tag=area:heap](http://localhost:8080/actuator/metrics/jvm.memory.used?tag=area:heap)
- Direct byte buffers (Off Heap): [/actuator/metrics/jvm.buffer.memory.used?tag=id:direct](http://localhost:8080/actuator/metrics/jvm.buffer.memory.used?tag=id:direct)
- CPU usage: [/actuator/metrics/process.cpu.usage](http://localhost:8080/actuator/metrics/process.cpu.usage)
- Number of CPU cores: [/actuator/metrics/system.cpu.count](http://localhost:8080/actuator/metrics/system.cpu.count)
- Daemon thread count: [/actuator/metrics/jvm.threads.daemon](http://localhost:8080/actuator/metrics/jvm.threads.daemon)
- Loaded Classes: [/actuator/metrics/jvm.classes.loaded](http://localhost:8080/actuator/metrics/jvm.classes.loaded)
- Container (Tomcat) Threads: [/actuator/metrics/tomcat.threads.current](http://localhost:8080/actuator/metrics/tomcat.threads.current)
# Docker
```bash
docker run -it -p 8080:8080 -p 8686:8686 -v logs:/app/logs jonatanivanov/resourceater:tag
```
# Kubernetes
You need a cluster first, e.g.: `kind create cluster`
```bash
skaffold dev --port-forward
```
or
```bash
skaffold run --port-forward
```