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Chaotic veneers over infrastructure clients for .NET tests. Build an HttpClient (or any interface) that follows a timeline of faults: freeze for 10 seconds, fail the next 3 calls, add latency every 30 seconds.... More information

SqlFactory for ChaosDotNet: DbConnection and DbDataSource veneers that follow a chaos timeline. Works with ADO.NET, Dapper and any provider.

Polly support for ChaosDotNet: add a chaos timeline to any Polly v8 resilience pipeline with AddChaosTimeline(factory).

ServiceBusFactory for ChaosDotNet: ServiceBusClient veneers whose senders, receivers and processors follow a chaos timeline, with real ServiceBusException faults and dropped messages.

PostgreSQL faults for ChaosDotNet: real PostgresException and NpgsqlException instances (deadlock, serialization failure, admin shutdown and more) for SqlFactory windows.

RedisFactory for ChaosDotNet: IConnectionMultiplexer veneers whose databases and subscribers follow a chaos timeline, with real RedisTimeoutException and RedisConnectionException faults.

EF Core support for ChaosDotNet: SqlFactory.CreateInterceptor() makes an interceptor that applies the chaos timeline to connection opens, commands and commits.

SQL Server faults for ChaosDotNet: real SqlException instances (deadlock, timeout, database unavailable and other transient errors) for SqlFactory windows.

CacheFactory for ChaosDotNet: IDistributedCache veneers that follow a chaos timeline, with timeout, failure and forced-miss faults.

A simplistic implementation of multi-step transactions for your application.

[ChaosTheory] for xUnit v3: runs a chaos monkey test once per seed, each seed as its own test case, and shrinks failing plans to the fewest incidents.

A simple definition for a locking service that allows developers to rapidly integrated local and external locking into their projects.

dotnet chaos test: runs your existing test suite with a chaos monkey inside every HttpClient and ADO.NET connection, no test changes needed. Reports the tests that pass normally but fail under chaos.