quay
Build, Store, and Distribute your Applications and Containers (by quay)
kube-monkey
An implementation of Netflix's Chaos Monkey for Kubernetes clusters (by asobti)
| quay | kube-monkey | |
|---|---|---|
| 4 | 9 | |
| 2,398 | 2,926 | |
| 1.4% | - | |
| 9.6 | 3.4 | |
| 5 days ago | 26 days ago | |
| Python | Go | |
| Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.
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.
quay
Posts with mentions or reviews of quay.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-09.
- 27 open-source tools that can make your Kubernetes workflow easier 🚀🥳
-
Quay.io has been down for 8+ hours
Not sure. I think since redhead bought them you can run it yourself https://github.com/quay/quay. Though if those who own it can’t keep good uptime how would anyone else.
- Scanning OpenShift containers for security issues
-
Private container registry
The ‘Getting Started’ points to the deployment instructions: https://github.com/quay/quay#getting-started Points to: https://access.redhat.com/documentation/en-us/red_hat_quay/3.3/
kube-monkey
Posts with mentions or reviews of kube-monkey.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-24.
-
Does your company have a Change Advisory Board (CAB)?
Not in the typical sense, but we have plenty of standard practices and cross-team checkpoints to limit risk. By the time we're deploying changes to production, the work has had a card created, assigned points (which necessarily involves discussing scope and risk), architected (as a group), code peer reviewed, hit unit tests (automated), integration tests (automated), functional tests (automated), smoke tested (automated) end-to-end tests (a few automated, but mostly manual by QA), acceptance tested (by QA and business), resilience tests (chaos engineering with kube-monkey), been deployed to at least 3 environments (with the same exact same artifacts, just with config changes), and monitored for failures (pod restarts, log anomalies, etc -- all automated). Deploy to production is well communicated, and ANY team can request a halt to the deploy if they have concerns.
- Kube-monkey: an implementation of Netflix's Chaos Monkey for Kubernetes clusters
-
What happens when a service fails in your infra, or in other words, do you practice chaos engineering?
Part of being a cloud native company means designing services for failure. What happens, for example, if the payment service/pod goes down? Do the rest of your services continue operating normally? One thing tools like kube-monkey does is automatically kill pods for you on a certain date at a certain time in order to plan for failure events. Just wondering if anyone has dove into the deep end with this type of tooling and really just gone all out, besides Netflix?
-
Chaos Mesh for chaos engineering in Kubernetes
Chaos Mesh is a popular solution (about 5k GitHub stars), but — obviously — not the only one. E.g., Litmus is a powerful platform to test many things, and kube-monkey might be a good option for more basic stuff.
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How many of you actually test your infrastructure code? For those that do, what benefits did you discover that testing brings to your code base?
Exactly the kind of thing I love to see! Sounds like a great use case for a tool like kube-monkey as well.
- GitHub - asobti/kube-monkey: An implementation of Netflix's Chaos Monkey for Kubernetes clusters
- kube-monkey: An implementation of Netflix's Chaos Monkey for Kubernetes clusters
- 27 open-source tools that can make your Kubernetes workflow easier 🚀🥳
-
Awesome Kubernetes Resources
Kube Monkey
What are some alternatives?
When comparing quay and kube-monkey you can also consider the following projects:
anchore-engine - A service that analyzes docker images and scans for vulnerabilities
chaoskube - chaoskube periodically kills random pods in your Kubernetes cluster.
kube-state-metrics - Add-on agent to generate and expose cluster-level metrics.
istio - Connect, secure, control, and observe services.
kubetail - Bash script to tail Kubernetes logs from multiple pods at the same time
kube-bench - Checks whether Kubernetes is deployed according to security best practices as defined in the CIS Kubernetes Benchmark
distribution - The toolkit to pack, ship, store, and deliver container content
skaffold - Easy and Repeatable Kubernetes Development
kubespray - Deploy a Production Ready Kubernetes Cluster
kube-burner - Kubernetes performance and scale test orchestration framework written in golang
kaniko - Build Container Images In Kubernetes
minikube - Run Kubernetes locally