Top 23 Kubernete Open-Source Projects
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Project mention: Troubleshooting deployment of k3s to Raspberry Pi cluster | reddit.com/r/k3s | 2021-11-25
That error message seems to give much more results, such as: https://github.com/kubernetes/kubernetes/issues/36575
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Project mention: netdata/netdata: Real-time performance monitoring, done right! https://www.netdata.cloud | reddit.com/r/devopsish | 2021-11-04
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Scout APM
Scout APM: A developer's best friend. Try free for 14-days. Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.
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K3s comes by default with traefik as the ingress controller. I heard great things about it, but I prefer to use ingress-nginx. This is simply because I'm more familiar with it. You can choose pretty much any ingress controller you want for Kubernetes, so pick one according to your own preferences.
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Project mention: 27 open-source tools that can make your Kubernetes workflow easier 🚀🥳 | dev.to | 2021-11-09
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k8s is the whole enchilada: IaaS, routing, container mgmt., etc.
So terraform plus AWS ECS is roughly equivalent to k8s (or AWS ASGs and AMIs plus Docker.)
A crude analogy is that k8s is the distributed systemd, and is the most portable.
Saying "I know k8s." today generally also means you know the k8s ecosystem, including Istio, AWS Calico, etc.
(I tell startups just to use EC2 and "yum update" as long as possible.)
https://docs.aws.amazon.com/eks/latest/userguide/calico.html
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awesome-cheatsheets
👩💻👨💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.
Expected to see Pyhthon there, but didn't. Then I looked in the repo, and there it was, just not linked on the front? https://github.com/LeCoupa/awesome-cheatsheets/blob/master/l...
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Project mention: 27 open-source tools that can make your Kubernetes workflow easier 🚀🥳 | dev.to | 2021-11-09
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Gitlab: build a docker image, push it to the Gitlab container registry, deploy via Dokku to Digitalocean.
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Functions-as-a-Service (eg. OpenFaaS).
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I installed nginx-ingress using helm, which came down to the following commands:
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Nacos
an easy-to-use dynamic service discovery, configuration and service management platform for building cloud native applications.
Project mention: 27 open-source tools that can make your Kubernetes workflow easier 🚀🥳 | dev.to | 2021-11-09 -
devops-exercises
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
Project mention: What language should I learn after Java and Python and how should I use my knowledge to learn about their applications in the real world? | reddit.com/r/computerscience | 2021-11-21What about the applications in the real world? Github are the answer. Some weeks ago I found a repository where a list of ideas to create your technologies show: link. If you are lost, try to guide yourself through roadmaps. Or just search for exercises on GitHub about your profession. Example: DevOps Exercises.
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JHipster
JHipster is a development platform to quickly generate, develop, & deploy modern web applications & microservice architectures.
Thanks for the link, but not necessarily.
How WSDL and the code generation around it worked, was that you'd have a specification of the web API (much like OpenAPI attempts to do), which you could feed into any number of code generators, to get output code which has no coupling to the actual generator at runtime, whereas Pyotr is geared more towards validation and goes into the opposite direction: https://pyotr.readthedocs.io/en/latest/client/
The best analogy that i can think of is how you can also do schema first application development - you do your SQL migrations (ideally in an automated way as well) and then just run a command locally to generate all of the data access classes and/or models for your database tables within your application. That way, you save your time for 80% of the boring and repetitive stuff while minimizing the risks of human error and inconsistencies, while nothing preventing you from altering the generated code if you have specific needs (outside of needing to make it non overrideable, for example, a child class of a generated class). Of course, there's no reason why this can't be applied to server code either - write the spec first and generate stubs for endpoints that you'll just fill out.
Similarly there shouldn't be a need for a special client to generate stubs for OpenAPI, the closest that Python in particular has for now is this https://github.com/openapi-generators/openapi-python-client
However, for some reason, model driven development never really took off, outside of niche frameworks, like JHipster: https://www.jhipster.tech/
Furthermore, for whatever reason formal specs for REST APIs also never really got popular and aren't regarded as the standard, which to me seems silly: every bit of client code that you write will need a specific version to work against, which should be formalized.
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K3s - a lightweight, highly available, certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances.
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you can read the license at https://github.com/rancher/rancher/blob/release/v2.6/LICENSE
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Project mention: Event exporter, observability something alternative for opsgenie stack | reddit.com/r/devops | 2021-11-17
If you are looking for just an alternative to kubectl, you could look at https://k8slens.dev/
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dapr
Dapr is a portable, event-driven, runtime for building distributed applications across cloud and edge.
Project mention: FOSS News International #2: November 8-145, 2021 | reddit.com/r/fossnews | 2021-11-15Dapr is a set of APIs that makes it easy for developers to write distributed applications. Dapr runs as a sidecar process next to an application, whether on Kubernetes or any other environment.
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Enter the default username: admin and password: prom-operator which you can find from here to access Grafana.
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It's a binary... Grab the appropriate architecture from releases and extract it on the target system. https://github.com/derailed/k9s/releases/tag/v0.24.15
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Project mention: 27 open-source tools that can make your Kubernetes workflow easier 🚀🥳 | dev.to | 2021-11-09
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Seaweed File System
SeaweedFS is a fast distributed storage system for blobs, objects, files, and data lake, for billions of files! Blob store has O(1) disk seek, cloud tiering. Filer supports Cloud Drive, cross-DC active-active replication, Kubernetes, POSIX FUSE mount, S3 API, S3 Gateway, Hadoop, WebDAV, encryption, Erasure Coding.
Project mention: SeaweedFS uses skip list on Redis to store millions of files in one directory. | reddit.com/r/filesystems | 2021-10-11 -
GitHub pretty much did that. They use Vitess to scale MySQL.
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- An enterprise-grade Kubernetes-based platform with developer self-service
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Index
What are some of the best open-source Kubernete projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | kubernetes | 83,178 |
| 2 | netdata | 56,762 |
| 3 | etcd | 38,050 |
| 4 | traefik | 35,782 |
| 5 | Kong | 30,697 |
| 6 | istio | 28,769 |
| 7 | awesome-cheatsheets | 25,722 |
| 8 | minikube | 22,496 |
| 9 | Dokku | 22,091 |
| 10 | OpenFaaS | 20,694 |
| 11 | helm | 20,666 |
| 12 | Nacos | 20,413 |
| 13 | devops-exercises | 19,532 |
| 14 | JHipster | 19,093 |
| 15 | k3s | 18,466 |
| 16 | rancher | 18,082 |
| 17 | lens | 16,301 |
| 18 | dapr | 15,598 |
| 19 | charts | 15,308 |
| 20 | k9s | 14,306 |
| 21 | kops | 13,531 |
| 22 | Seaweed File System | 13,193 |
| 23 | vitess | 12,945 |
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