Choas App Services

This repository is meant to share my chaos engineering experiments to achieve knowledge in designing resilient systems.

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 in turn based on Polly.

Dependencies

.NET Core 3.1 or higher

Configure

Just edit local.settings.json for local execution:

{
  "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.

The project is configured to use Application Insights 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 query is:

traces | where timestamp <= ago(1h) | limit 50

You need to configure appsettings.json with your AI Application ID and API key.

{
    "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.