An important design principle of microservices architecture is database per service pattern i.e. domain data is encapsulated within a service and if other services need data then they do so by calling the APIs. This design principle brings one interesting challenge - coordinating writes to more than one service as a single business transaction.
Temporal is an open-source, workflow-as-code workflow orchestration platform. In Temporal, you define workflow steps (called Activities) in code using constructs of language-specific client SDK.
In GraphQL, a mutation is used to insert, update or delete data. The mutation API is defined with the type Mutation rather than the Query. In Spring for Graphql, a mutation can be implemented using @SchemaMapping or @MutationMapping.
gRPC, one of the most popular RPC frameworks for inter-process microservices communication, supports both unary and streaming RPC. Contrary to unary RPC, in gRPC streaming RPC, a client sends a single request, and in return, the server sends a stream of messages. In this article, we will see how to implement server streaming RPC and how to handle errors in streaming response.
gRPC, a remote procedure call (RPC) framework, is used for inter microservices communication. The gRPC supports both unary RPC and streaming RPC. In gRPC unary RPC, a client sends a single request and receives a single response. Additionally, an RPC in gRPC can be synchronous or asynchronous. In synchronous RPC, a client call waits for the server to respond. As the name suggests, in asynchronous RPC the server returns the response asynchronously.
A microservices-based software system requires applications to talk to each other using an inter-process communication mechanism. gRPC is a modern inter-process communication system that is scalable and more efficient than the traditional RESTful services.