chaos-mesh
distroless
chaos-mesh | distroless | |
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17 | 122 | |
6,414 | 17,781 | |
1.7% | 1.2% | |
8.4 | 9.4 | |
6 days ago | 1 day ago | |
Go | Starlark | |
Apache License 2.0 | Apache License 2.0 |
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chaos-mesh
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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.
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Database Mesh 2.0: Database Governance in a Cloud Native Environment
In March 2018, an article titled Service Mesh is the broad trend, what about Database Mesh?, was pubslished on InfoQ China and went viral in the technical community. In this article, Zhang Liang, the founder of Apache ShardingSphere, described Database Mesh concept along with the idea of Service Mesh. Four years later, the Database Mesh concept has been integrated by several companies together with their own tools and ecosystems. Today, in addition to Service Mesh, a variety of “X Mesh” concepts such as ChaosMesh, EventMesh, IOMesh have emerged. Following four years of development, Database Mesh has also started a new chapter: Database Mesh 2.0.
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Share your #ChaosMeshStory!
🐒 Chaos Mesh will turn 2 on 2021.12.31! We're grateful for every contribution that helped this project grow, and we’d like to hear your Chaos Mesh story!
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help tips scripting pods creation for k8s cluster testing
So i came across this recently, haven't used it myself but it seems to fit your requirements: https://github.com/chaos-mesh/chaos-mesh
distroless
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Chainguard Images now available on Docker Hub
lots of questions here regarding what this product is. I guess i can provide some information for the context, from a perspective of an outside contributor.
Chainguard Images is a set of hardened container images.
They were built by the original team that brought you Google's Distroless (https://github.com/GoogleContainerTools/distroless)
However, there were few problems with Distroless:
1. distroless were based on Debian - which in turn, limited to Debian's release cadence for fixing CVE.
2. distroless is using bazelbuild, which is not exactly easy to contrib, customize, etc...
3. distroless images are hard to extend.
Chainguard built a new "undistro" OS for container workload, named Wolfi, using their OSS projects like melange (for packaging pkgs) and apko (for building images).
The idea is (from my understanding) is that
1. You don't have to rely on upstream to cut a release. Chainguard will be doing that, with lots of automation & guardrails in placed. This allow them to fix vulnerabilties extremely fast.
- Language focused Docker images, minus the operating system
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Using Alpine can make Python Docker builds 50× slower
> If you have one image based on Ubuntu in your stack, you may as well base them all on Ubuntu, because you only need to download (and store!) the common base image once
This is only true if your infrastructure is static. If your infrastructure is highly elastic, image size has an impact on your time to scale up.
Of course, there are better choices than Alpine to optimize image size. Distroless (https://github.com/GoogleContainerTools/distroless) is a good example.
- Smaller and Safer Clojure Containers: Minimizing the Software Bill of Materials
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Long Term Ownership of an Event-Driven System
The same as our code dependencies, container updates can include security patches and bug fixes and improvements. However, they can also include breaking changes and it is crucial you test them thoroughly before putting them into production. Wherever possible, I recommend using the distroless base image which will drastically reduce both your image size, your risk vector, and therefore your maintenance version going forward.
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Minimizing Nuxt 3 Docker Images
# Use a large Node.js base image to build the application and name it "build" FROM node:18-alpine as build WORKDIR /app # Copy the package.json and package-lock.json files into the working directory before copying the rest of the files # This will cache the dependencies and speed up subsequent builds if the dependencies don't change COPY package*.json /app # You might want to use yarn or pnpm instead RUN npm install COPY . /app RUN npm run build # Instead of using a node:18-alpine image, we are using a distroless image. These are provided by google: https://github.com/GoogleContainerTools/distroless FROM gcr.io/distroless/nodejs:18 as prod WORKDIR /app # Copy the built application from the "build" image into the "prod" image COPY --from=build /app/.output /app/.output # Since this image only contains node.js, we do not need to specify the node command and simply pass the path to the index.mjs file! CMD ["/app/.output/server/index.mjs"]
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Build Your Own Docker with Linux Namespaces, Cgroups, and Chroot
Lots of examples without the entire OS as other comments mention, an example would be Googles distroless[0]
[0]: https://github.com/GoogleContainerTools/distroless
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Reddit temporarily ban subreddit and user advertising rival self-hosted platform (Lemmy)
Docker doesn't do this all the time. Distroless Docker containers are relatively common. https://github.com/GoogleContainerTools/distroless
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Why elixir over Golang
Deployment: https://github.com/GoogleContainerTools/distroless
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Reviews
Or use distroless image as it includes one, among others. https://github.com/GoogleContainerTools/distroless/blob/main/base/README.md
What are some alternatives?
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
iron-alpine - Hardened alpine linux baseimage for Docker.
litmus - A fast python HTTP server inspired by japronto written in rust.
spring-boot-jib - This project is about Containerizing a Spring Boot Application With Jib
chaosmonkey - Chaos Monkey is a resiliency tool that helps applications tolerate random instance failures.
jib - 🏗 Build container images for your Java applications.
postgres-operator - Postgres operator creates and manages PostgreSQL clusters running in Kubernetes
podman - Podman: A tool for managing OCI containers and pods.
chaosblade-exec-jvm - Chaosblade executor for chaos experiments on Java applications(对 Java 应用实施混沌实验的 chaosblade 执行器)
dockerfiles - Various Dockerfiles I use on the desktop and on servers.
sandbox-operator - A Kubernetes operator for creating isolated environments
docker-alpine - Official Alpine Linux Docker image. Win at minimalism!