https://github.com/gsscoder/chaos-appservices
This repository is meant to share my chaos engineering experiments to achieve knowledge in designing resilient systems.
https://github.com/gsscoder/chaos-appservices
azure chaos-engineering csharp demo dotnet
Last synced: about 2 months ago
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This repository is meant to share my chaos engineering experiments to achieve knowledge in designing resilient systems.
- Host: GitHub
- URL: https://github.com/gsscoder/chaos-appservices
- Owner: gsscoder
- License: mit
- Created: 2021-02-24T07:51:22.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2021-03-13T08:26:12.000Z (over 5 years ago)
- Last Synced: 2025-05-19T23:08:44.198Z (about 1 year ago)
- Topics: azure, chaos-engineering, csharp, demo, dotnet
- Language: C#
- Homepage:
- Size: 786 KB
- Stars: 1
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Choas App Services
This repository is meant to share my [chaos engineering](https://en.wikipedia.org/wiki/Chaos_engineering) experiments to achieve knowledge in designing [resilient systems](https://insights.sei.cmu.edu/sei_blog/2019/11/system-resilience-what-exactly-is-it.html).
For now it's available just a Function App in which latency and fault chaos policy are injected. This App Service is based on [Simmy](https://github.com/Polly-Contrib/Simmy) in turn based on [Polly](https://github.com/App-vNext/Polly).
## Dependencies
- .NET Core 3.1 or higher
## Configure
Just edit `local.settings.json` for local execution:
```yaml
{
"IsEncrypted": false,
"Values": {
"AzureWebJobsStorage": "UseDevelopmentStorage=true",
"FUNCTIONS_WORKER_RUNTIME": "dotnet",
"APPINSIGHTS_INSTRUMENTATIONKEY": "test_debug",
// Latency
"ChaosLatencySeconds": 5,
"ChaosLatencyInjectionRate": 0.1,
"ChaosLatencyEnabled": true,
// Fault
"ChaosFaultInjectionRate": 0.05,
"ChaosFaultEnabled": true
}
}
```
On Azure add all configuration settings present in `local.settings.json` prefixed with `Chaos`.
## Execute
### Function App
Open Visual Studio and point your web browser to [http://localhost:7071/api/ProductsFunction](http://localhost:7071/api/ProductsFunction).
The project is configured to use [Application Insights](https://docs.microsoft.com/en-us/azure/azure-monitor/app/app-insights-overview) locally:
### Console App
A sample console app is provided to demonstrate access to Application Insights using the REST API. It reads only trace events.
The submitted [KQL](https://docs.microsoft.com/en-us/azure/data-explorer/kusto/concepts/) query is:
```sql
traces | where timestamp <= ago(1h) | limit 50
```
You need to configure `appsettings.json` with your AI **Application ID** and **API key**.
```yaml
{
"httpTimeout": 10000,
"aiApplicationId": "{your_app_insights_app_id}",
"aiApiKey": "{your_api_key}",
"timesAgo": "1h"
}
```
Just create an **API key** and set it along with **Application ID** in the configuration file.
The application will write to standard output the returned JSON.
## Libraries
- [Polly](https://github.com/App-vNext/Polly)
- [Simmy](https://github.com/Polly-Contrib/Simmy)
- [CSharpx](https://github.com/gsscoder/csharpx)
- [Bogus](https://github.com/bchavez/Bogus)