30 open-source projects similar to worstcase/blockade, ranked by how many features they have in common. Compare stars, activity and what each one does to find the best Blockade alternative.
DEPRECATED Collection of python scripts to run failure injection on AWS infrastructure
Collection of AWS SSM Documents to perform Chaos Engineering experiments
Amazon's light-weight library for chaos engineering on AWS. It can be used for EC2 and ECS (with EC2 launch type).
An implementation of Netflix's Chaos Monkey for Kubernetes clusters
Kills half of your randomly selected kubernetes pods.
A powerful testing tool for Kubernetes clusters.
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.
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
Chaos Engineering Toolkit & Orchestration for Developers
Chaos and resiliency testing tool for Kubernetes with a focus on improving performance under failure conditions. A CNCF sandbox project.
Kubernetes performance and scale test orchestration framework written in golang
Turbulence release is used for injecting failure scenarios into any BOSH deployment.
Chaos testing, network emulation, and stress testing tool for containers
Orchestrator is a high availability system and replication manager for MySQL database clusters. It functions as a failover automator and topology visualizer designed to detect master failures and promote standby replicas to minimize system downtime. The project focuses on managing and reconfiguring MySQL replication topologies to maintain consistent data distribution. It utilizes topology discovery crawling to map replication structures and identifies active failures within the database cluster. The system provides capabilities for automated cluster recovery, location-aware instance tracking
Monkey and Lemur are taken, so Chaos Dingo it is. A tool to mess with Azure services leveraging the Azure NodeJS sdks.
chaoskube periodically kills random pods in your Kubernetes cluster.
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
Gamified Chaos Engineering Tool for Kubernetes
Extensible platform for infrastructure management
Proxy for simulating real-world distributed system failures to improve resilience in your applications.
Chaos Monkey is a chaos engineering tool designed to verify the resilience of distributed systems by intentionally terminating production instances. It functions as a fault injection service that identifies weaknesses in cloud-based architectures by simulating real-world hardware and software outages. The platform operates through a centralized orchestration engine that executes periodic disruption cycles based on predefined configuration rules. It employs a rule-based selection process that evaluates instance metadata against safety constraints to ensure that only eligible targets are disrup