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48 lines
2.1 KiB
Markdown
48 lines
2.1 KiB
Markdown
# Roadmap
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See the [中文文档](https://github.com/spring-cloud-incubator/spring-cloud-alibabacloud/blob/master/Roadmap-zh.md) for Chinese Roadmap.
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Spring Cloud Alibaba provides a one-stop solution for distributed application development. It contains all the components required to develop distributed applications, making it easy for you to develop your applications using Spring Cloud.
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This project contains components from both open-source and commercialized Alibaba middleware products，but are not limited to them.
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If you have any suggestions on our roadmap, feel free to submit issues or contact us via the other channels.
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## Components
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**Sentinel**
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An open-source project of Alibaba, Sentinel takes "flow" as breakthrough point, and provides solutions in areas such as flow control, concurrency, circuit breaking, and load protection to protect service stability.
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**Nacos**
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An opensource project of Alibaba, an easy-to-use dynamic service discovery, configuration and service management platform for building cloud native applications.
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**RocketMQ**
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Apache RocketMQ™ is an open source distributed messaging and streaming data platform.
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**Alibaba Cloud OSS**
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Alibaba Cloud Object Storage Service, An encrypted and secure cloud storage service which stores, processes and accesses massive amounts of data from anywhere in the world.
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**Alibaba Cloud Schedulerx**
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A distributed task scheduling product developed by Alibaba Middleware team. It supports both periodical tasks and tasks to be triggered at specified time points.
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More components will be supported by Spring Cloud Alibaba in the future, which may include but are not limited to the following:
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**Dubbo**
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Apache Dubbo™ (incubating) is a high-performance, Java based open source RPC framework.
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**Fescar**
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A distributed transaction solution with high performance and ease of use for microservices architecture.
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**Alibaba Cloud SLS**
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Aliyun Log Service is an all-in-one service for log-type data. It helps increase Operations & Management and operational efficiency, as well as build the processing capability to deal with massive logs.
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