K6 is a load testing tool built for engineering teams. The k6 API and CLI are easy-to-use, flexible and powerful. Create tests faster with our test builder, recorder or converters. Automate your tests to ensure that your infrastructure and application remain performant. Write tests in Javascript that mimic real-world scenarios. It has HTTP/1.1, HTTP/2, WebSocket and gRPC protocol support. 



K6 - A modern load testing tool, using Go and JavaScript

A reverse proxy and static file server that provides authentication using Providers (Google, GitHub, and others) to validate accounts by email, domain or group.



Oauth2 Proxy - A reverse proxy that provides authentication with Google, Azure, OpenID Connect and many more identity providers

OpenFaaS (Functions as a Service) is a framework for building serverless functions with Docker which has first class support for metrics. Any process can be packaged as a function enabling you to consume a range of web events without repetitive boiler-plate coding. 
<ul>
<li>Ease of use through UI portal and one-click install</li>
<li>Write functions in any language for Linux or Windows and package in Docker/OCI image format</li>
<li>Portable - runs on existing hardware or public/private cloud - <a href="https://github.com/openfaas/faas-netes">Kubernetes</a> and Docker Swarm native</li>
<li><a href="http://github.com/openfaas/faas-cli">CLI</a> available with YAML format for templating and defining functions</li>
<li>Auto-scales as demand increases</li>
</ul>

OpenFaaS (Functions as a Service) is a framework for building serverless functions with Docker which has first class support for metrics. Any process can be packaged as a function enabling you to consume a range of web events without repetitive boiler-plate coding.

OpenFaaS - A serverless framework for Docker & Kubernetes

ORY Hydra is a hardened, OpenID Certified OAuth 2.0 Server and OpenID Connect Provider optimized for low-latency, high throughput, and low resource consumption. ORY Hydra is not an identity provider (user sign up, user login, password reset flow), but connects to your existing identity provider through a login and consent app. Implementing the login and consent app in a different language is easy, and exemplary consent apps (Go, Node) and SDKs are provided.

ORY Hydra - OpenID Connect and OAuth Provider written in Go

Gorgonia is a library that helps facilitate machine learning in Go. Write and evaluate mathematical equations involving multidimensional arrays easily. If this sounds like Theano or TensorFlow, it's because the idea is quite similar. Specifically, the library is pretty low-level, like Theano, but has higher goals like Tensorflow.
 
Gorgonia can perform automatic differentiation, symbolic differentiation, gradient descent optimizations, numerical stabilization, distributed computing. 
 
The primary goal for Gorgonia is to be a highly performant machine learning/graph computation-based library that can scale across multiple machines. It should bring the appeal of Go (simple compilation and deployment process) to the ML world. It's a long way from there currently, however, the baby steps are already there.

Gorgonia is a library that helps facilitate machine learning in Go. Write and evaluate mathematical equations involving multidimensional arrays easily. If this sounds like Theano or TensorFlow, it's because the idea is quite similar. Specifically, the library is pretty low-level, like Theano, but has higher goals like Tensorflow.



Gorgonia - Library that helps facilitate machine learning in Go

CRI-O is an OCI-based implementation of Kubernetes Container Runtime Interface. CRI-O is meant to provide an integration path between OCI conformant runtimes and the kubelet. Specifically, it implements the Kubelet Container Runtime Interface (CRI) using OCI conformant runtimes. The scope of CRI-O is tied to the scope of the CRI.

CRI-O - OCI-based implementation of Kubernetes Container Runtime Interface

With watchtower you can update the running version of your containerized app simply by pushing a new image to the Docker Hub or your own image registry. Watchtower will pull down your new image, gracefully shut down your existing container and restart it with the same options that were used when it was deployed initially. 

Watchtower - A process for automating Docker container base image updates

Grule is a Rule Engine library for the Go (Golang) programming language. Inspired by the acclaimed JBOSS Drools, and done in a much simpler manner. Like Drools, Grule has its own DSL or Domain-Specific Language.
 
The Grule Rule Engine is a Production Rule System that uses the rule-based approach to implement an Expert System. Expert Systems are knowledge-based systems that use knowledge representations to process acquired knowledge into a knowledgebase that can be used for reasoning. A Production Rule System is Turing complete with a focus on knowledge representation to express propositional and first-order logic in a concise, non-ambiguous and declarative manner.

Grule is a Rule Engine library for the Go (Golang) programming language. Inspired by the acclaimed JBOSS Drools, and done in a much simpler manner. Like Drools, Grule has its own DSL or Domain-Specific Language.

Grule - Rule Engine library for the Go

Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment. Milvus 2.0 is a cloud-native vector database with storage and computation separated by design. All components in this refactored version of Milvus are stateless to enhance elasticity and flexibility.
As the Internet grew and evolved, unstructured data became more and more common, including emails, papers, IoT sensor data, Facebook photos, protein structures, and much more. In order for computers to understand and process unstructured data, these are converted into vectors using embedding techniques. Milvus stores and indexes these vectors. Milvus is able to analyze the correlation between two vectors by calculating their similarity distance. If the two embedding vectors are very similar, it means that the original data sources are similar as well. &nbsp; Millvus is capable of indexing vectors on a trillion scale. Unlike existing relational databases which mainly deal with structured data following a pre-defined pattern, Milvus is designed from the bottom-up to handle embedding vectors converted from unstructured data.
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Milvus is an open-source vector database built to power embedding similarity search and AI applications. Milvus makes unstructured data search more accessible, and provides a consistent user experience regardless of the deployment environment. Milvus 2.0 is a cloud-native vector database with storage and computation separated by design. All components in this refactored version of Milvus are stateless to enhance elasticity and flexibility.



Milvus - An open-source vector database for embedding similarity search and AI applications

Keptn is an event-based control plane for continuous delivery and automated operations for cloud-native applications. It helps developers to focus on code instead of writing tons of configuration files. It helps devops to focus on tools instead of building complex pipelines.


Keptn - Event-based control plane for continuous delivery and automated operations for cloud-native applications.

Meshery is the multi-service mesh management plane offering lifecycle, configuration, and performance management of service meshes and their workloads. Meshery manages the provisioning, configuration and operation your service mesh. While supporting different types of service meshes, Meshery also offers a simple way to explore each service mesh and compare them using bundled sample applications.
 
Interoperate multiple service meshes with service mesh adapters provision, configure, and manage their respective service meshes. Meshery is an implementation of the Service Mesh Interface (SMI). Assess your service mesh configuration against deployment and operational best practices with Meshery's configuration validator. Onboard your workload onto the service mesh with confidence. Check your service mesh configuration for anti-patterns and avoid common pitfalls.
 
Meshery is the service-mesh-neutral utility for uniformly managing the performance of services and the meshes that run them. As an implementation of the Service Mesh Performance (SMP), Meshery enables you to measure the value provided by a service mesh in the context of the overhead incurred.

Meshery is the multi-service mesh management plane offering lifecycle, configuration, and performance management of service meshes and their workloads. Meshery manages the provisioning, configuration and operation your service mesh. While supporting different types of service meshes, Meshery also offers a simple way to explore each service mesh and compare them using bundled sample applications.



Meshery - The service mesh management plane

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