datadog-operator
chaos-mesh
datadog-operator | chaos-mesh | |
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1 | 20 | |
354 | 7,000 | |
8.2% | 1.4% | |
9.6 | 8.6 | |
1 day ago | 8 days ago | |
Go | Go | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
datadog-operator
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Kubernetes/Istio 를 위한 Datadog 설정
우선 Datadog Operator를 Helm을 통해 설치한다. https://github.com/DataDog/datadog-operator/blob/main/docs/getting_started.md
chaos-mesh
- Chaos Mesh: O que é e faz?
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The use of eBPF – in Netflix, GPU infrastructure, Windows programs and more
The benefit of eBPF is that we can inject failures into cloud-native systems without having to re-write the code of an application. Interestingly, there are open source projects out there for chaos engineering that already use eBPF, such as ChaosMesh.
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How to Build a High-Quality Testing Infrastructure
References [1]. AutoMQ Cloud-Native Solutions Explained: https://mp.weixin.qq.com/s/rmGoamqBnMPlrylDeSwgEA [2]. gRPC Performance Dashboard: https://grafana-dot-grpc-testing.appspot.com/ [3]. Concurrency Scenario Unit Testing Tool: https://github.com/awaitility/awaitility [4]. S3 Mock Component https://github.com/adobe/S3Mock [5]. AutoMQ Performance Testing Framework: https://github.com/AutoMQ/openmessaging-benchmark [6]. AutoMQ Performance White Paper: https://docs.automq.com/zh/docs/automq-s3kafka/CYxlwqDBHitThCkxSl2cePxrnBc [7]. Chaos Mesh components: https://chaos-mesh.org/
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Chaos Mesh
Ive been messing around with chaos mesh recently (https://chaos-mesh.org/) and im wondering: is there any way i can define custom behaviour in one of my experiments? Specifically, I want to deploy a Pod with a certain image using an experiment.
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Building Resilience with Chaos Engineering and Litmus
Litmus, Gremlin, Chaos Mesh, and Chaos Monkey are all popular open-source tools used for chaos engineering. As we will be using AWS cloud infrastructure, we will also explore AWS Fault Injection Simulator (FIS). While they share the same goals of testing and improving the resilience of a system, there are some differences between them. Here are some comparisons:
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rootly Vs firehydrant, any experience?
https://chaos-mesh.org/ (open source)
- Elon Musk is disconnecting random Twitter-servers just to see what happens
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Implement DevSecOps to Secure your CI/CD pipeline
Implement Chaos Mesh and Litmus chaos engineering framework to understand the behavior and stability of application in real-world use cases.
- Chaos-Mesh - A chaos engineering platform for kubernetes.
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Chaos Mesh for chaos engineering in Kubernetes
Here is our recent experience with Chaos Mesh for performing basic chaos engineering experiments on an application in Kubernetes.
What are some alternatives?
k8s-bigip-ctlr - Repository for F5 Container Ingress Services for Kubernetes & OpenShift.
litmus - Litmus helps SREs and developers practice chaos engineering in a Cloud-native way. Chaos experiments are published at the ChaosHub (https://hub.litmuschaos.io). Community notes is at https://hackmd.io/a4Zu_sH4TZGeih-xCimi3Q
postgres-operator - Postgres operator creates and manages PostgreSQL clusters running in Kubernetes
CHAOS - :fire: CHAOS is a free and open-source Remote Administration Tool that allow generate binaries to control remote operating systems.
operator-sdk - SDK for building Kubernetes applications. Provides high level APIs, useful abstractions, and project scaffolding.
chaosmonkey - Chaos Monkey is a resiliency tool that helps applications tolerate random instance failures.