dapr

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Published: Mar 11, 2020 License: MIT

README

Any language, any framework, anywhere

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Dapr is a portable, serverless, event-driven runtime that makes it easy for developers to build resilient, stateless and stateful microservices that run on the cloud and edge and embraces the diversity of languages and developer frameworks.

Dapr codifies the best practices for building microservice applications into open, independent, building blocks that enable you to build portable applications with the language and framework of your choice. Each building block is independent and you can use one, some, or all of them in your application.

Note: Dapr is currently under community development in alpha phase. Dapr is not expected to be used for production workloads until its 1.0 stable release.

Dapr Conceptual Model

Goals

  • Enable developers using any language or framework to write distributed applications
  • Solve the hard problems developers face building microservice applications by providing best practice building blocks
  • Be community driven, open and vendor neutral
  • Gain new contributors
  • Provide consistency and portability through open APIs
  • Be platform agnostic across cloud and edge
  • Embrace extensibility and provide pluggable components without vendor lock-in
  • Enable IoT and edge scenarios by being highly performant and lightweight
  • Be incrementally adoptable from existing code, with no runtime dependency

How it works

Dapr injects a side-car container/process to each compute unit. The side-car interacts with event triggers and communicates with the compute unit via standard HTTP or gRPC protocols. This enables Dapr to support all existing and future programming languages without requiring you to import frameworks or libraries.

Dapr offers built-in state management, reliable messaging (at least once delivery), triggers and bindings through standard HTTP verbs or gRPC interfaces. This allows you to write stateless, stateful and actor-like services following the same programming paradigm. You can freely choose consistency model, threading model and message delivery patterns.

Dapr runs natively on Kubernetes, as a standalone binary on your machine, on an IoT device, or as a container that can be injected into any system, in the cloud or on-premises.

Dapr uses pluggable state stores and message buses such as Redis as well as gRPC to offer a wide range of communication methods, including direct dapr-to-dapr using gRPC and async Pub-Sub with guaranteed delivery and at-least-once semantics.

Why Dapr?

Writing high performance, scalable and reliable distributed application is hard. Dapr brings proven patterns and practices to you. It unifies event-driven and actors semantics into a simple, consistent programming model. It supports all programming languages without framework lock-in. You are not exposed to low-level primitives such as threading, concurrency control, partitioning and scaling. Instead, you can write your code by implementing a simple web server using familiar web frameworks of your choice.

Dapr is flexible in threading and state consistency models. You can leverage multi-threading if you choose to, and you can choose among different consistency models. This flexibility enables to implement advanced scenarios without artificial constraints. You might also choose to utilize single-threaded calls familiar in other Actor frameworks. Dapr is unique because you can transition seamlessly between these models without rewriting your code.

Features

  • Event-driven Pub-Sub system with pluggable providers and at-least-once semantics
  • Input and output bindings with pluggable providers
  • State management with pluggable data stores
  • Consistent service-to-service discovery and invocation
  • Opt-in stateful models: Strong/Eventual consistency, First-write/Last-write wins
  • Cross platform virtual actors
  • Rate limiting
  • Built-in distributed tracing using OpenTelemetry
  • Runs natively on Kubernetes using a dedicated Operator and CRDs
  • Supports all programming languages via HTTP and gRPC
  • Multi-Cloud, open components (bindings, pub-sub, state) from Azure, AWS, GCP
  • Runs anywhere, as a process or containerized
  • Lightweight (58MB binary, 4MB physical memory)
  • Runs as a sidecar - removes the need for special SDKs or libraries
  • Dedicated CLI - developer friendly experience with easy debugging
  • Clients for Java, .NET Core, Go, Javascript, Python, Rust and C++

Get Started using Dapr

See Getting Started.

Samples

See Samples for additional samples.

Community

We want your contributions and suggestions. One of the easiest ways to contribute is to participate in discussions on the mailing list, chat on IM or the bi-weekly community calls. Here is how to get involved.

Engagement
IM chat https://gitter.im/Dapr/community
Mailing list https://groups.google.com/forum/#!forum/dapr-dev
Meeting dates Bi-weekly Tuesdays 10:00AM PST. Dates for 2020 - 7th Jan, 21st Jan, 4th Feb, 18th Feb, 3rd March, 17th March, 31st March
Meeting link https://aka.ms/dapr-community-call
Meeting notes https://aka.ms/dapr-meeting-notes
Meeting recordings http://aka.ms/dapr-recordings
Twitter @daprdev
Channel 9 Azure Friday - Learn All About Distributed Application Runtime Dapr: Part 1 and Part 2
MS Ignite 2019 THR2267 - Mark Russinovich presents next generation app development and deployment and Mark Russinovich presents The Future of Cloud Native Applications with OAM and Dapr

Contributing to Dapr

See the Wiki for information on contributing to Dapr.

See the Development Guide to get started with building and developing.

Roadmap

See Roadmap for what's planned for the Dapr project.

Repositories

Repo Description
Dapr The main repository that you are currently in. Contains the Dapr runtime code and overview documentation.
CLI The Dapr CLI allows you to setup Dapr on your local dev machine or on a Kubernetes cluster, provides debugging support, launches and manages Dapr instances.
Docs The documentation repository for Dapr.
Samples This repository contains a series of samples that highlight Dapr capabilities.
Components-contrib The purpose of components contrib is to provide open, community driven reusable components for building distributed applications.
Go-sdk Dapr SDK for Go
Java-sdk Dapr SDK for Java
JS-sdk Dapr SDK for JavaScript
Python-sdk Dapr SDK for Python
Dotnet-sdk Dapr SDK for .NET Core
Rust-sdk Dapr SDK for Rust
Cpp-sdk Dapr SDK for C++

Code of Conduct

This project has adopted the Microsoft Open Source Code of conduct. For more information see the Code of Conduct FAQ or contact opencode@microsoft.com with any additional questions or comments.

Directories

Path Synopsis
cmd
pkg
apis/components/v1alpha1
+k8s:deepcopy-gen=package +groupName=components.dapr.io
+k8s:deepcopy-gen=package +groupName=components.dapr.io
apis/configuration/v1alpha1
+k8s:deepcopy-gen=package +groupName=configuration.dapr.io
+k8s:deepcopy-gen=package +groupName=configuration.dapr.io
client/clientset/versioned
This package has the automatically generated clientset.
This package has the automatically generated clientset.
client/clientset/versioned/fake
This package has the automatically generated fake clientset.
This package has the automatically generated fake clientset.
client/clientset/versioned/scheme
This package contains the scheme of the automatically generated clientset.
This package contains the scheme of the automatically generated clientset.
client/clientset/versioned/typed/components/v1alpha1
This package has the automatically generated typed clients.
This package has the automatically generated typed clients.
client/clientset/versioned/typed/components/v1alpha1/fake
Package fake has the automatically generated clients.
Package fake has the automatically generated clients.
client/clientset/versioned/typed/configuration/v1alpha1
This package has the automatically generated typed clients.
This package has the automatically generated typed clients.
client/clientset/versioned/typed/configuration/v1alpha1/fake
Package fake has the automatically generated clients.
Package fake has the automatically generated clients.
diagnostics/tests/mocks
Package mock_helloworld is a generated GoMock package.
Package mock_helloworld is a generated GoMock package.
placement
Package placement is an implementation of Consistent Hashing and Consistent Hashing With Bounded Loads.
Package placement is an implementation of Consistent Hashing and Consistent Hashing With Bounded Loads.
tests
apps/crypto Module

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