Kubernetes is an open source system for managing containerized applications across multiple hosts. It provides basic mechanisms for deployment, maintenance, and scaling of applications.
Kubernetes builds upon a decade and a half of experience at Google running production workloads at scale using a system called Borg, combined with best-of-breed ideas and practices from the community.
Kubernetes is hosted by the Cloud Native Computing Foundation (CNCF). If your company wants to help shape the evolution of technologies that are container-packaged, dynamically scheduled, and microservices-oriented, consider joining the CNCF. For details about who's involved and how Kubernetes plays a role, read the CNCF announcement.
Note: The master branch may be in an unstable or even broken state during development. Please use releases instead of the master branch in order to get stable binaries.
etcd is a distributed reliable key-value store for the most critical data of a distributed system, with a focus on being:
etcd is written in Go and uses the Raft consensus algorithm to manage a highly-available replicated log.
etcd is used in production by many companies, and the development team stands behind it in critical deployment scenarios, where etcd is frequently teamed with applications such as Kubernetes, locksmith, vulcand, Doorman, and many others. Reliability is further ensured by rigorous testing.
Traefik (pronounced traffic) is a modern HTTP reverse proxy and load balancer that makes deploying microservices easy. Traefik integrates with your existing infrastructure components (Docker, Swarm mode, Kubernetes, Marathon, Consul, Etcd, Rancher, Amazon ECS, ...) and configures itself automatically and dynamically. Pointing Traefik at your orchestrator should be the only configuration step you need.
. Overview . Features . Supported backends . Quickstart . Web UI . Documentation .
. Support . Release cycle . Contributing . Maintainers . Credits .
Kong is a cloud-native, fast, scalable, and distributed Microservice Abstraction Layer (also known as an API Gateway or API Middleware). Made available as an open-source project in 2015, its core values are high performance and extensibility.
Actively maintained, Kong is widely used in production at companies ranging from startups to Global 5000 as well as government organizations.
Installation | Documentation | Forum | Blog | IRC (freenode): #kong | Nightly Builds
If you are building for the web, mobile, or IoT (Internet of Things) you will likely end up needing common functionality to run your actual software. Kong can help by acting as a gateway (or a sidecar) for microservices requests while providing load balancing, logging, authentication, rate-limiting, transformations, and more through plugins.
OpenFaaS® makes it easy for developers to deploy event-driven functions and microservices to Kubernetes without repetitive, boiler-plate coding. Package your code or an existing binary in a Docker image to get a highly scalable endpoint with auto-scaling and metrics.
Highlights
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OpenFaaS is free to use and completely open source under the MIT license, however financial backing is required to sustain the effort to maintain and develop the project.
This is a Selenium Grid extension to scale your local grid dynamically with docker containers. It uses docker-selenium to run your tests in Firefox and Chrome locally, if you need a different browser, your tests can get redirected to a cloud testing provider (Sauce Labs, BrowserStack, TestingBot, CrossBrowserTesting, LambdaTest). Zalenium also works out of the box in Kubernetes.
Zalenium's maintainers add new features regularly. We invite you to test it, report bugs, suggest any ideas you may have, and contribute. See our contributing guidelines for more details.
Poor man's function as a service.
fx is a tool to help you do Function as a Service on your own server, fx can make your stateless function a service in seconds, both Docker host and Kubernetes cluster supported. The most exciting thing is that you can write your functions with most programming languages.
Feel free hacking fx to support the languages not listed. Welcome to tweet me @_metrue on Twitter, @metrue on Weibo.
Binaries are available for Windows, MacOS and Linux/Unix on x86. For other architectures and platforms, follow instructions to build fx from source.
All-in-one web-based development environment for machine learning
Getting Started • Features & Screenshots • Support • Report a Bug • FAQ • Known Issues • Contribution
The ML workspace is an all-in-one web-based IDE specialized for machine learning and data science. It is simple to deploy and gets you started within minutes to productively built ML solutions on your own machines. This workspace is the ultimate tool for developers preloaded with a variety of popular data science libraries (e.g., Tensorflow, PyTorch, Keras, Sklearn) and dev tools (e.g., Jupyter, VS Code, Tensorboard) perfectly configured, optimized, and integrated.
Uploading an image:
Fetching a file in a specific size(e.g. 320x240):
returns the image cropped to the desired size
imgpush requires docker
This is fully optional and is only needed if you want to run imgpush in Kubernetes.
If you want to deploy imgpush in Kubernetes, there is an example deployment available in the Kubernetes directory. In case you do not have a running Kubernetes cluster yet, you can use Minikube to setup a local single-node Kubernetes cluster. Otherwise you can just use your existing cluster.