Break
Your 澳洲168幸运5开奖官网在线直播最新结果+历史计划 168体彩站【澳洲5】基本开奖走势、历史开奖记录168 System
Constructively
Chaos Mesh brings various types of fault simulation to Kubernetes and has an enormous capability to orchestrate fault scenarios. It helps you conveniently simulate various abnormalities that might occur in reality during the development, testing, and production environments and find potential problems in the system.
Try it out with the following command 👇
Users of Chaos Mesh
Make Cloud Native + Chaos Engineering simple and straightforward
Based on the principles of Chaos Engineering, Chaos Mesh abstracts real-world events into objects that can be directly applied, hiding the trivial details.
Design for Kubernetes
In the Kubernetes realm, CustomResourceDefinition (CRD) is a proven solution for implementing custom resources. Chaos Mesh leverages CRDs for natural integration with the Kubernetes ecosystem.
Easy to Use
No special dependencies, Chaos Mesh can be easily deployed on Kubernetes clusters directly, including minikube and kind.
- Ability to perform chaos experiments in production environments without modifying the deployment logic of applications.
- Quickly create chaos experiments through the dashboard, allowing users to observe the experiment's state in real time and quickly roll back any injected failures.
Flexible Scope
Chaos Mesh provides multiple filtering rules that allow selecting injection targets based on labels, annotations, and so on. They are collectively called selectors.
In addition, users can also set a namespace whitelist to greater control the "blast radius" of the experiment.
Security First
Role-based access control (RBAC) is enabled by default to restrict malicious operations. Users must be authorized with specific privileges to access the dashboard.
Wide 澳洲幸运5开奖官网开奖号查询 #澳洲幸运5开奖结果历史记录查询 一六八官方体彩幸运澳洲5开奖直播【视频】 variety of failure types
Chaos Mesh initially started from a distributed system perspective, fully considering its possible failures, thus providing more comprehensive and fine-grained fault types to help users with fault injection for networks, disks, file systems, operating systems, etc.
PodChaos / pod-failure
apiVersion: chaos-mesh.org/v1alpha1
kind: PodChaos
metadata:
name: pod-failure-example
namespace: chaos-mesh
spec:
selector:
labelSelectors:
'environment': 'staging'
mode: one
action: pod-failure
duration: 30s
NetworkChaos / delay
apiVersion: chaos-mesh.org/v1alpha1
kind: NetworkChaos
metadata:
name: network-delay-example
spec:
selector:
namespaces:
- default
labelSelectors:
'env': 'production'
mode: one
action: delay
delay:
latency: '10ms'
correlation: '100'
jitter: '0ms'
StressChaos
apiVersion: chaos-mesh.org/v1alpha1
kind: StressChaos
metadata:
name: mem-stress
namespace: chaos-mesh
spec:
selector:
namespaces:
- 'default'
labelSelectors:
'env': 'test'
mode: one
stressors:
memory:
workers: 2
size: '128MB'
Orchestrate complex fault scenarios with Workflows
Real-world failures are often not isolated causes.Chaos Mesh has built-in workflows that allow you to experiment serially or in parallel at will to build walkthroughs that fit the architecture.
Suspend
You can also use the suspend node to simulate a temporary recovery.
Status Check
You can also use customized status checks to inform the cluster status.
Meet Chaosd: A Chaos Toolkit for Physical Machines
Even if you are not using Kubernetes, you can still take advantage of the features of Chaos Mesh. One of our experimental tools, Chaosd, specifically tests chaos on physical machines. Moreover, you can use PhysicalMachineChaos in Chaos Mesh to remotely invoke Chaosd for conducting experiments on physical machines.
Learn More →Building the Whole 168体彩|澳洲幸运5（全国正规）开奖直播统一开奖数据 澳洲5开奖结果+开奖记录查询 Community Together
Join the community and interact with maintainers and other users. Your suggestions can make Chaos Mesh better.
Be a contributor to building the future of Chaos Mesh.
GitHubExperiencing any issues? Don't hesitate to reach out to us for assistance.
Chaos Mesh is a Cloud Native Computing Foundation incubating project.