Projects sharing features with Chaosmonkey

Chaos Mesh is a cloud-native fault injection tool and Kubernetes chaos engineering platform designed to verify system resilience. It functions as a testing framework for designing and executing automated failure scenarios to evaluate how containerized workloads recover from disruptions. The project acts as a multi-cluster chaos orchestrator, providing a centralized control plane to manage and monitor experiments across multiple remote Kubernetes clusters from a single interface. It includes a dashboard for the visual scheduling of experiments and the coordination of complex failure scenarios.

Litmus is a cloud native chaos engineering platform and fault injection tool used to design and execute controlled infrastructure failure simulations within Kubernetes environments. It serves as a resilience testing framework for analyzing system behavior during induced outages to identify weaknesses and potential outages. The project functions as a GitOps chaos orchestrator, using declarative version control to automate the deployment and scheduling of resilience tests. It provides tools for chaos workflow management and the orchestration of experiment sequences to visualize and test infrast

Moto is a cloud service mockery framework and API mock server that simulates AWS infrastructure locally. It allows developers to test cloud-dependent code and verify infrastructure-as-code templates without deploying real resources or incurring costs. The project functions as an SDK interceptor that can patch existing service clients to redirect requests to a local mock environment. It can also be run as a standalone HTTP server, enabling any programming language to interact with the simulated endpoints. The framework covers a vast array of simulated capabilities, including data storage, com

This project is a service mesh platform designed to manage, secure, and observe service-to-service communication within Kubernetes clusters. It functions as a control plane that orchestrates transparent sidecar proxies, which intercept and manage network traffic to provide reliable connectivity for microservices. By automating the injection of these proxies, the platform ensures that infrastructure-level policies are applied consistently across all workloads without requiring manual configuration changes. The platform distinguishes itself through its focus on zero-trust security and cross-clu

Gamified Chaos Engineering Tool for Kubernetes

Kill Kubernetes pods by playing Id's DOOM!

Chaos Engineering Toolkit & Orchestration for Developers

chaoskube periodically kills random pods in your Kubernetes cluster.

An implementation of Netflix's Chaos Monkey for Kubernetes clusters

ChaosBlade is an open-source chaos engineering platform that injects faults into applications, containers, Kubernetes clusters, and host systems to test resilience. It functions as a multi-layer fault injection tool, capable of disrupting system resources, Java, C++, NodeJS, and Golang applications, Docker containers, and Kubernetes pods and nodes from a single interface. The platform distinguishes itself through its architecture, which defines chaos experiments as Kubernetes Custom Resource Definitions for native cluster integration, and supports multiple fault injection mechanisms including

Vagrant is a virtual machine environment manager and development environment provisioner. It functions as an infrastructure as code tool and multi-hypervisor orchestrator, allowing for the definition and automation of virtualized development environments through a single configuration file. The project enables the creation of portable, virtualized development environments to ensure consistency across different host operating systems. It supports deploying these environments across various backends, including local hypervisors, cloud providers, and container runtimes, using a unified interface

This repository serves as a technical reference for designing scalable, resilient, and performant software within distributed service environments. It provides a collection of architectural patterns and structural strategies intended to guide the development of complex, decoupled systems that maintain high availability and data integrity under heavy load. The resource focuses on the core principles of microservices architecture, offering guidance on managing communication between independent software components through both synchronous and asynchronous messaging. It details strategies for mai

This project is a modular, terminal-based dashboard framework designed to aggregate and display real-time information within a grid-aligned interface. It functions as a centralized monitoring tool that translates data from local system resources, infrastructure services, and external web APIs into a unified, text-based display. The dashboard is distinguished by its plugin-based architecture, which allows users to encapsulate distinct data sources and display logic into isolated, independently managed modules. Users define their workspace through declarative configuration files or an interacti

This project serves as a comprehensive technical reference for the architecture and design of data-intensive applications. It provides a structured analysis of the fundamental principles required to build reliable, scalable, and maintainable software systems, covering the core trade-offs inherent in modern data infrastructure. The repository explores the mechanics of distributed data management, including strategies for replication, partitioning, and achieving consensus across multiple nodes. It details the design of storage engines, indexing techniques, and transaction management models, whi

This project is a comprehensive Java backend engineering guide and technical reference focused on high-concurrency design, distributed systems, and microservices architecture. It provides detailed strategies for decomposing monolithic applications, managing service discovery, and implementing the architectural patterns required for scalable backend environments. The repository distinguishes itself through an extensive collection of big data algorithmic references and database scaling strategies. It covers memory-efficient techniques for analyzing massive datasets, such as Top-K element extrac

This project is a TypeScript-based architectural framework designed to implement domain-driven design and hexagonal architecture in enterprise applications. It provides a structured boilerplate that isolates core business logic from infrastructure concerns, ensuring that domain entities, use cases, and external technology adapters remain decoupled and maintainable. The framework distinguishes itself by enforcing strict architectural boundaries and dependency inversion, preventing unauthorized access to core logic from external layers. It utilizes a command-query responsibility segregation pat

This project is a collection of educational resources and step-by-step tutorials for Java backend development. It provides implementation guides for building web services and applications using the Spring Boot framework, focusing on the development of data streams and concurrent tasks. The repository includes technical walkthroughs for Kubernetes cluster automation, specifically regarding the creation of custom operators and admission controllers. It also serves as a manual for cloud native integration, covering the packaging of applications into containers and the use of distributed event me

Inngest is a durable execution framework and event-driven automation engine designed to orchestrate background workflows. It enables developers to build resilient, stateful processes by memoizing function steps, ensuring that long-running tasks can automatically resume from the last successful operation after failures, timeouts, or infrastructure restarts. The platform distinguishes itself through its event-driven architecture, which uses a schema-validated bus to trigger functions and coordinate complex, multi-step logic. It employs an onion-model middleware approach for cross-cutting concer

OpenSearch is a distributed search and analytics engine designed for indexing, searching, and analyzing massive volumes of structured and unstructured data in real time. It functions as a comprehensive platform that integrates enterprise-grade search capabilities, a vector database for high-dimensional similarity lookups, and a unified observability suite for monitoring logs, metrics, and traces across complex distributed environments. The platform distinguishes itself through its support for agentic workflow automation, allowing users to orchestrate multi-agent tasks and integrate foundation

Saleor is a headless, API-first commerce platform designed to manage complex retail operations through a decoupled architecture. It provides a centralized backend that uses a GraphQL-based interface to handle product catalogs, order lifecycles, and multi-channel sales across diverse global markets. By separating the commerce engine from the storefront, the platform enables developers to build custom, high-performance shopping experiences while maintaining granular control over data interactions. The platform distinguishes itself through an event-driven architecture that allows for deep extens

Containerd is a daemon-based container runtime that manages the complete lifecycle of containers on a host system. It functions as a core orchestration backend, handling image distribution, storage, and process execution while adhering to industry-standard specifications for container execution and configuration. The project is distinguished by its modular, plugin-based architecture, which allows for the extension of storage, runtime, and networking capabilities without requiring a full daemon recompile. It utilizes a shim-based execution model to delegate low-level operations, ensuring isola

Crawlee is a web scraping framework designed for building scalable, reliable, and distributed data extraction pipelines. It provides a unified interface for managing headless browser automation and lightweight HTTP requests, allowing developers to handle complex web navigation, dynamic content rendering, and large-scale data collection within a single, modular architecture. The project distinguishes itself through its resource-aware concurrency controller, which dynamically scales task execution based on real-time CPU and memory usage to prevent host machine exhaustion. It also features a rob

This project is a Python framework for building autonomous, event-driven agent systems. It provides a unified runtime for orchestrating multi-agent workflows, managing persistent conversation state, and executing code within secure, isolated sandbox environments. The framework is designed to handle complex task delegation, allowing agents to invoke other agents as tools while maintaining context across multi-turn interactions. The framework distinguishes itself through its deep integration with the Model Context Protocol, enabling agents to connect to external data sources and remote services

Zellij is a terminal multiplexer and workspace manager designed to organize command-line sessions into persistent, reconfigurable layouts. It functions as a terminal plugin framework, allowing users to extend their environment with modular, event-driven components that interact with the host through a structured message-passing protocol. The project distinguishes itself through a layout-engine-based architecture that decouples visual pane arrangements from process execution, enabling automated and repeatable terminal workflows. It includes integrated support for web-based remote access, facil

DolphinScheduler is a distributed workflow orchestrator designed to manage and automate complex data processing pipelines. It functions as a data pipeline scheduler that coordinates multi-step tasks across distributed environments, ensuring reliable execution through defined dependencies and sequences. The platform utilizes a directed acyclic graph model to represent workflows, allowing users to define task relationships via a visual interface. It employs a master-worker architecture supported by a pluggable task plugin system, which enables the dynamic extension of task types without requiri

Podinfo is a Go-based microservice template designed for Kubernetes, providing a standard pattern for building and testing containerised applications. It exposes REST endpoints for health checks, version information, and configuration, and supports environment-driven configuration for containerised deployment. The project distinguishes itself with built-in capabilities for resilience testing, including fault injection middleware that can inject random errors, latency spikes, or status code mutations. It also offers JWT token-based authentication for stateless request validation, Prometheus me

Jepsen is a distributed systems testing framework designed to verify the correctness of distributed software. It functions as a fault injection engine and a distributed consistency analyzer that validates whether a system's behavior matches its promised consistency guarantees by analyzing operation histories against formal models. The project distinguishes itself through its ability to simulate complex failure scenarios, including network partitions, node crashes, and clock drifts. It employs packet-level traffic shaping to drop or delay communication and manipulates system time across cluste