Dragonfly is an open source intelligent P2P based image and file distribution system. Its goal is to tackle all distribution problems in cloud native scenarios. It is efficient with P2P and CDN technology which reduces image distribution time significantly and expedite delivery. it supports large-scale file distribution with improved downloading speed and success rate and lower consumption of bandwidth, especially cross-IDC bandwidth.
 
Its features include: 
<ul>
<li>Implement P2P files distribution with various storage types
(HDFS, storage services from various cloud vendors, Maven, Yum, etc.)
through a unified back-to-source adapter layer.</li>
<li>Support more distribution modes:
active pull, active push, real-time synchronization,
remote replication, automatic warm-up,
cross-cloud transmission, etc.</li>
<li>Provide separation and decoupling between systems,
scheduling and plug-in CDN. Support on-demand deployment with
flexible types: light or heavy, inside or outside,
to meet the actual needs of different scenarios.</li>
<li>Newly designed P2P protocol framework based on
GRPC with improved efficiency and stability.</li>
<li>Perform encrypted transmission, account-based transmission
authentication and rate limit, and multi-tenant isolation mechanism.</li>
<li>Bear more efficient IO methods: multithreaded IO, memory mapping, DMA, etc.</li>
<li>Advocate dynamic compression, in-memory file systems,
and more efficient scheduling algorithms to improve distribution efficiency.</li>
<li>Client allows third-party software to
natively integrate Dragonfly’s P2P capabilities through C/S mode.</li>
<li>Productivity: Support file uploading, task management of
various distribution modes, data visualization, global control, etc.</li>
<li>Consistent internal and external versions, shared core features,
and individual extensions of non-generic features.</li>
<li>Enhanced integration with ecology:
Harbor, Nydus (on-demand image download),
warehouse services for various cloud vendors, etc.</li>
</ul>

Dragonfly is an open source intelligent P2P based image and file distribution system. Its goal is to tackle all distribution problems in cloud native scenarios. It is efficient with P2P and CDN technology which reduces image distribution time significantly and expedite delivery.  it supports large-scale file distribution with improved downloading speed and success rate and lower consumption of bandwidth, especially cross-IDC bandwidth.

Dragonfly - An Open-source P2P-based Image and File Distribution System

A Go client for the NATS messaging system.

Go Nats - Golang client for NATS, the cloud native messaging system.

Linkerd is a transparent service mesh, designed to make modern applications safe and sane by transparently adding service discovery, load balancing, failure handling, instrumentation, and routing to all inter-service communication.linkerd (pronouned "linker-DEE") acts as a transparent HTTP/gRPC/thrift/etc proxy, and can usually be dropped into existing applications with a minimum of configuration, regardless of what language they're written in. It works with many common protocols and service discovery backends, including scheduled environments like Mesos and Kubernetes.

linkerd - Resilient service mesh for cloud native apps

CloudServer (formerly S3 Server) is an open-source Amazon S3-compatible object storage server that is part of Zenko, Scality’s Open Source Multi-Cloud Data Controller.CloudServer provides a single AWS S3 API interface to access multiple backend data storage both on-premise or public in the cloud.
 
CloudServer is useful for Developers, either to run as part of a continous integration test environment to emulate the AWS S3 service locally or as an abstraction layer to develop object storage enabled application on the go.

CloudServer (formerly S3 Server) is an open-source Amazon S3-compatible object storage server that is part of Zenko, Scality’s Open Source Multi-Cloud Data Controller.CloudServer provides a single AWS S3 API interface to access multiple backend data storage both on-premise or public in the cloud. 

S3 - Node.js implementation of a server handling the Amazon S3 protocol

ZITADEL provides you with all the features necessary to build great solutions, without the need of building the login and access management yourself. 
 
Its features include: 
<ul><li>Authentication:&nbsp; OpenID Connect 1.0 Protocol (OP), Username / Password,&nbsp; Machine-to-machine (JWT profile), Passwordless with FIDO2</li><li>Multifactor authentication with OTP, U2F</li><li>Federation with OpenID Connect 1.0 Protocol (RP), OAuth 2.0 Protocol (RP)</li><li>Authorization via Role Based Access Control (RBAC)</li><li>Identity Brokering</li><li>Delegation of roles to other organizations for self-management</li><li>Strong audit trail for all IAM resources</li><li>User interface for administration</li><li>APIs for Management, Administration, and Authentication</li><li>Policy configuration and enforcement</li><li>Private Labeling</li></ul>

ZITADEL provides you with all the features necessary to build great solutions, without the need of building the login and access management yourself. 

ZITADEL - Cloud Native Identity and Access Management

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.

KumuluzEE is a lightweight framework for developing microservices using standard Java/JavaEE/JakartaEE/EE4J technologies, extending them with Node.js, Go and other languages, and migrating existing applications to microservices and cloud-native architecture. KumuluzEE packages microservices as standalone JARs. KumuluzEE microservices are lightweight and optimized for size and start-up time. They fit perfectly with Docker containers. KumuluzEE microservices are fully compatible with Kubernetes.
 
KumuluzEE also provides extensions for developing common patterns in cloud-native architectures, including configuration, logging, discovery, fault tolerance with circuit-breakers, metrics, security, event streaming and more.

KumuluzEE is a lightweight framework for developing microservices using standard Java/JavaEE/JakartaEE/EE4J technologies, extending them with Node.js, Go and other languages, and migrating existing applications to microservices and cloud-native architecture. KumuluzEE packages microservices as standalone JARs. KumuluzEE microservices are lightweight and optimized for size and start-up time. They fit perfectly with Docker containers. KumuluzEE microservices are fully compatible with Kubernetes.

kumuluz - Lightweight open-source framework for developing microservices using standard Java EE technologies and migrating Java EE to cloud-native architecture

Hypertrace is a cloud-native distributed tracing based Observability platform that gives visibility into your dev and production distributed systems. Hypertrace provides observability into your application architecture. It includes global, service and backend dashboards, allowing teams fast insight into service level objectives.
 
Hypertrace ingests, in real time, traces in any major format. If your app or service mesh sends traces using Jaeger, OpenTelemetry or Zipkin, it already works with Hypertrace. The Hypertrace Platform stores, aggregates, and prepares data for visualization and analysis. It presents actionable insights for app improvement using flowmaps, charts, reports, and customizable dashboards.

Hypertrace is a cloud-native distributed tracing based Observability platform that gives visibility into your dev and production distributed systems. Hypertrace provides observability into your application architecture. It includes global, service and backend dashboards, allowing teams fast insight into service level objectives.

Hypertrace - Distributed tracing & Observability platform

Eclipse JKube is a collection of plugins and libraries that are used for building container images using Docker, JIB or S2I build strategies. Eclipse JKube generates and deploys Kubernetes/OpenShift manifests at compile time too. It brings your Java applications on to Kubernetes and OpenShift by leveraging the tasks required to make your application cloud-native. Eclipse JKube also provides a set of tools such as watch, debug, log, etc. to improve your developer experience. This project contains various building blocks for the Kubernetes Java developer toolbox.

Eclipse JKube - Build Cloud-Native Java Applications without a hassle

Kubernetes has made it very easy to deploy applications to the cloud at a higher scale than ever, but the development practices have not evolved at the same speed as application deployment patterns. Today, most developers try to either run parts of the infrastructure locally, or just test these integrations directly in the cluster via CI jobs or the "docker build, docker push, kubectl apply" cycle. It works, but this workflow is painful and incredibly slow.

Okteto - A Tool for Cloud Native Developers

Purser is an extension to Kubernetes tasked at providing an insight into cluster topology, costing, capacity allocations and resource interactions along with the provision of logical grouping of resources for Kubernetes based cloud native applications in a cloud neutral manner, with the focus on catering to a multitude of users ranging from Sys Admins, to DevOps to Developers.

Purser - Kubernetes Cloud Native Applications visibility

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