The gRPC 1.53.0 release introduces a series of core improvements, language‑specific enhancements for C++, C#, Python and Ruby, as well as bug fixes and new APIs, providing higher stability and performance for modern high‑performance RPC applications.
This article compares RPC and HTTP services by explaining their protocol foundations, the OSI network layers, RPC architecture components, synchronous versus asynchronous calls, and popular frameworks such as gRPC, Thrift, and Dubbo, while also outlining when each approach is appropriate for enterprise development.
This article explains the fundamentals of Remote Procedure Call (RPC), compares popular RPC frameworks such as gRPC, Thrift, Dubbo and Spring Cloud, details gRPC’s architecture, Protocol Buffers serialization, HTTP/2 advantages, and provides a step‑by‑step Java demo with full source code and performance benchmarks.
This article explains the fundamental differences between RPC and HTTP services, reviews the OSI network model, describes RPC architecture and sync/async calls, compares popular RPC frameworks such as gRPC, Thrift, and Dubbo with traditional RESTful HTTP, and offers guidance on choosing the right approach for a project.
This article explains how etcd 3.x switched its external API to gRPC, the challenges of using its gRPC‑gateway for HTTP requests in Apache APISIX, the default message size limit causing sync failures, and the certificate configuration pitfalls that were fixed through a PR merged in v3.5.0.
The Apache Dubbo 2.7.5 release introduces application‑level service registration, native HTTP/2 (gRPC) and Protobuf support, a 30% performance uplift, TLS security, an optimized consumer thread‑pool, a new Bootstrap API, multi‑registry load balancing, and numerous other enhancements aimed at cloud‑native microservice development.
This article explains the fundamental distinctions between RPC and HTTP services by reviewing the OSI network layers, RPC architecture components, synchronous versus asynchronous calls, popular RPC frameworks such as gRPC, Thrift, and Dubbo, and the typical use cases of each approach.
This article introduces the high‑performance gRPC framework, explains why it uses HTTP/2 and Protocol Buffers, outlines its core components, and provides a step‑by‑step Python tutorial with environment setup, code generation, server and client implementations, and common application scenarios.
This article introduces gRPC, explains its HTTP/2 and Protocol Buffers foundations, walks through writing and compiling .proto files, provides complete Python server and client examples, and shows how to quickly set up the environment and integrate gRPC into microservice and Kubernetes deployments.
This article explains how to design and implement a secure gRPC gateway using OpenResty, analyzes performance bottlenecks such as excessive TIME_WAIT connections, and provides practical kernel and Nginx/OpenResty tuning steps to achieve long‑lived connections and lower latency.
This article details Eastern Securities' journey from monolithic systems to a microservice architecture, describing the design and implementation of the gRPC-Nebula service governance framework and the Starry Service Governance Platform, their technical features, performance tests, multi‑language support, and the practical outcomes of the digital transformation.
ForceBot is JD.com’s comprehensive full‑chain load‑testing platform that simulates user behavior across the entire purchase flow, isolates test traffic, leverages Docker‑based agents, GRPC services, and real‑time data analytics to identify bottlenecks, optimize resource planning, and support both routine and peak‑traffic scenarios.
Protocol Buffers (ProtoBuf) is a language‑neutral, binary serialization format that enables compact, fast data exchange and easy backward‑compatible schema evolution across many languages, with automatic code generation, making it ideal for gRPC and storage despite being non‑human‑readable.
This article presents a comprehensive overview of Huajiao's gRPC development practice, covering background decisions, gRPC features, gateway integration, Dart and Go client libraries, component architecture, protobuf conventions, code generation, SDK integration, documentation tooling, debugging strategies, and future roadmap.
This article guides readers through preparing gRPC RPC scripts, creating Java sampler code for JMeter, packaging the scripts, and executing load tests to evaluate RPC performance, providing step‑by‑step instructions and code examples for Java‑based testing.
This tutorial explains how to set up protobuf and gRPC, generate code from .proto files, and create a simple Python client (wrapped with Flask) to query relay information for live cloud streaming services, providing a lightweight alternative to manual log inspection.
This article explains how to unify error handling between gRPC and traditional HTTP services by defining shared protobuf messages, mapping gRPC status codes to HTTP responses, and customizing response structures with additional fields like stat and msg for consistent business‑level error reporting.
gRPC Core version 1.45.0 introduces numerous updates including XDS error handling, core version upgrade, memory leak fixes, transparent retries, channel credential improvements, Windows memory leak resolution, xDS RBAC filter updates, as well as language‑specific enhancements for C++, C#, Objective‑C, and Python.
This article provides a step‑by‑step guide to creating a simple Spring Boot microservice that uses gRPC for communication, integrates with Istio as a service mesh, containerizes the applications with Docker, and deploys both server and client to a Kubernetes cluster with full configuration files and code examples.
The article examines Nacos' evolution from its Alibaba origins, outlines the performance and resource problems of the 1.x architecture, and details how the 2.x version’s long‑connection gRPC model, improved reliability, and compatibility enhancements address those issues while introducing new complexities.