node microservices

: Partition fault tolerance, that is, a node or network partition failure, the system can still provide services to meet the consistency and availability.In the distributed system, in order to guarantee the partition fault tolerance of the module, we can only balance the data strong consistency and usability. In a certain period of time, the data may be inconsistent between the modules, but by automatic or manual compensation can achieve the final agr

client-side code very complex.Another problem with clients calling MicroServices directly is that the protocols used by some services are not friendly to the web. One service may use Thrift binary RPC, while another service may use the AMQP messaging protocol. Regardless of which protocol is not friendly to the browser or firewall, it is best to use it internally. Outside the firewall, applications should use protocols such as HTTP and WebSocket.Anot

ObjectiveIt is a long time not to write a blog, recently for a new job, relatively busy, so did not take out too much time to pay attention to my fans write some dry, someone asked me how recently did not update the blog, here to everyone sorry.So, in this article, let's explore the role of API gateways in the entire microservices distributed architecture.BackgroundWe know that in the MicroServices architec

This is a creation in Article, where the information may have evolved or changed. Part VII: Go microservices-service discovery and load balancing This section deals with two basic parts of a robust microservices architecture-service discovery and load balancing-as well as how they facilitate the horizontal scaling of important non-functional requirements in 2017. Brief introduction Load Balancing is a well-

user orders and payment, the system needs to modify the status of the Order andand increase user loyalty. Since the system is based on a microservices architecture, the payment service, order service and Integration services are separated, and each service has a separate database for data storage. When the user pays successfully, whether to modify the order status failure or increase the points failed, will result in inconsistent data.However, under

Concept: A cluster is a physical form, and distributed is a way of working. distributed: One business splits multiple sub-businesses, deployed on different servers cluster: One business, deployed on multiple servers 1: distributed refers to the distribution of different businesses in different places. Clustering, however, refers to centralizing several servers together to achieve the same business. Each node in the distribution can be a cluster. Clu

connected and uses multiple microservices containers to create stable application services.Rich features, simple tools, and powerful APIs make containers and orchestration a favorite for DevOps teams. DevOps engineers integrate them into continuous integration (CI) and continuous delivery (CD) workflows.This article explores the issues you encounter when trying to run and orchestrate a MongoDB container, and describes how to overcome these problems.T

entities that are executed by the HTTP operator.3.JSON (JavaScript object notation): This is a common format for data interchange. These three elements provide everything you need for a practical REST API, including simplicity, portability, interoperability, and modification. Once the APIs are built, users can easily integrate them regardless of their programming language, including C #, PHP, and NODE. JS, JAVA, and even CURL in the SHELL. They don't

by Consul to realize the registration and discovery of services, we need to establish consul Cluster. In the consul scenario, the consul agent is deployed and run on each node that provides the service, and all the collections that run the Consul agent node constitute consul Cluster. The Consul agent has two modes of operation:Server and Client. The server and client here are only consul cluster-level dist

Micro-service Combat (III): Inter-process communication in the micro-service Architecture "Editor's note" This is the third article that uses a microservices architecture to create its own application series. The first article introduces the microservices architecture pattern, compares it to the singleton pattern, and discusses the pros and cons of using a microservices