# Installer khaos avec Homebrew

Consultez les chemins d'installation, exécutables, métadonnées et notes de sécurité de khaos pour les workflows d'agents IA.

## installation

```sh
sudo av install brew:khaos
```

Commandes d'installation supplémentaires:

### macOS

- Homebrew (100%):

```sh
brew install khaos
```

  Preuve: local Homebrew formula metadata

## Faits du paquet

- **Clé du paquet:** brew:khaos
- **Gestionnaire de paquets:** Homebrew
- **Version:** 0.7.1
- **Résumé source:** Kafka traffic simulator for observability and chaos engineering
- **Page d'accueil:** <https://github.com/aleksandarskrbic/khaos>
- **Dépôt:** <https://github.com/aleksandarskrbic/khaos>
- **Dernière mise à jour:** 2026-06-27T10:27:00Z
- **Généré:** 2026-08-03T19:37:03+00:00

## exécutables

- khaos (alias)

## Comportement d'installation

- Bouteille: non disponible

## Version et fraîcheur

- page générée: 2026-08-03
- version du gestionnaire: 0.7.1
## Historique du projet et usages

khaos is a young Kafka data generator, load-testing, and chaos-engineering CLI. It uses YAML scenarios to generate synthetic traffic, simulate producers and consumers, and exercise Kafka cluster failure modes.

### Historique du projet

The upstream changelog records version 0.1.0 on December 23, 2025 as the initial release, with configurable producers and consumers, YAML scenarios, correlated event flows, Faker-backed data generation, Docker Compose integration, authentication support, live stats, prebuilt scenarios, and CLI commands for running, simulating, validating, listing, and managing clusters.

Rapid follow-up releases in December 2025 added Avro, Protobuf, Schema Registry support, scenario categories, custom scenario files, Docker support, and internal refactoring. Version 0.7.0 on January 2, 2026 added consumer failure simulation, duplicate message simulation, dead-letter queue support, and new testing scenarios.

### Historique d'adoption

The repository and Homebrew formula show early package-manager adoption for macOS and Linux users, but evidence of broad ecosystem uptake is still limited. Its adoption story is best understood as an emerging Kafka testing utility rather than a mature infrastructure standard.

### Modes d'utilisation

Users run bundled or custom YAML scenarios against a local Docker-managed Kafka cluster or an external cluster. The README documents traffic generation, load testing, producer and consumer simulation, stream-processing test data, chaos scenarios, monitoring validation, authentication, and serialization formats.

### Pourquoi les passionnés de paquets s'y intéressent

khaos is notable because it packages a hands-on Kafka lab into one CLI: local KRaft or ZooKeeper clusters, scenario files, schema formats, synthetic data, and failure simulation are exposed as installable commands instead of ad hoc producer scripts.

### Chronologie

- 2025-12-23: khaos 0.1.0 initial release.
- 2025-12-25: versions 0.2.0 through 0.4.0 added Avro, Protobuf, Schema Registry, and scenario categories.
- 2025-12-27: version 0.5.0 added custom scenario files and Docker support.
- 2026-01-02: version 0.7.0 added consumer failure, duplicate-message, and DLQ simulations.
- 2026-01-05: version 0.7.1 fixed external-cluster authentication and managed-cluster retention behavior.

### Related projects

- khaos sits near Apache Kafka, Kafka UI, Schema Registry, Apache Flink, Spark Streaming, Kafka Streams, Docker Compose, and Faker-backed synthetic data generators.

### Sources

- <https://formulae.brew.sh/formula/khaos>
- <https://github.com/aleksandarskrbic/khaos>
- <https://raw.githubusercontent.com/aleksandarskrbic/khaos/main/CHANGELOG.md>


## Notes de sécurité

Aucun manifest local de gestion des secrets correspondant n'a été trouvé pour khaos. Les métadonnées de paquet Nucleus restent publiées ici afin que la couverture future dispose d'une URL stable.



## Configuration and credential file locations

These source-backed paths show where this package keeps local settings or durable credentials. Automic Vault can use them as review targets for secret scanning, migration, and command approval.


## Configuration files

- Unix: ./my-scenario.yaml, /path/to/custom-scenario.yaml

## Combined YAML source

View the package source record on GitHub. [combined/khaos.yml](https://github.com/mxcl/pkgdb/blob/main/combined/khaos.yml)


## Sources

- pkg.so package database
- Geiger risk classifier
- curated configuration and credential file locations
- curated package history
- pkgdb category and tag curation
- cross-ecosystem install command graph