The article explains that RPC outperforms traditional HTTP/1.1 + JSON because of a slimmer binary protocol, faster binary serialization, persistent long‑connection reuse, and an efficient NIO network model, while noting that HTTP/2 + gRPC narrows the gap.
The article examines the emerging A2A (Agent‑to‑Agent) protocol, tracing its evolution from function calling to MCP and finally A2A, and evaluates its core concepts, security model, task lifecycle, transport options, design guidelines, and operational best practices for building interoperable AI agent systems.
This article explains why traditional Java UI toolkits fall short, then walks through a complete solution that embeds a React + shadcn/ui front‑end inside a Java desktop window using JxBrowser, covering window creation, resource loading for dev and production, and two Java‑Web communication strategies (JS‑Java bridge and Protobuf + gRPC).
This article explains how to embed modern web UI built with React, TypeScript, and shadcn/ui into a Java desktop application using JxBrowser, covering reliable web view integration, server‑less resource loading, and bidirectional Java‑JavaScript communication via bridges or gRPC.
This article walks through constructing Mini-vLLM, a from‑scratch LLM inference engine that tackles the O(N²) attention cost with KV‑cache, boosts throughput via dynamic batching, adds observability with Prometheus/Grafana, supports gRPC, and scales across multiple workers, with benchmark numbers demonstrating its CPU‑only performance.
This article analyzes why AI‑driven testing tools often become performance bottlenecks, identifies I/O and serialization as the main culprits, and presents concrete optimizations—including headless browser flags, mmap, gRPC streaming, model lightweighting, multi‑level caching, and Kubernetes‑based co‑scheduling—that together reduce latency by up to 90% and boost throughput severalfold.
This step‑by‑step tutorial shows how to configure gRPC, define protobuf service contracts, and implement streaming upload and download in C++, covering environment setup, code generation, server and client logic, testing, and performance tuning for efficient file transfer.
This article examines how HTTP/3’s Connection ID decouples a connection from its IP/port tuple, enabling transparent network migration for gRPC over QUIC, and explores the practical limits of 0‑RTT, stream‑level flow control, and real‑world adoption strategies.
This article explores how gRPC bidirectional streaming transforms a simple data pipe into a conversational session by examining the underlying HTTP/2 mechanics, shared state machines, flow‑control strategies, practical patterns, and common pitfalls in grpc-go implementations.
This article reveals that gRPC should be seen not merely as a high‑performance RPC framework but as a novel connection primitive that treats network links as living, stateful entities, reshaping how developers design, monitor, and reason about distributed systems.
This guide introduces Mix‑Go, a Go‑based rapid‑development framework that provides interactive scaffolding, command‑line prototyping, and a DI/IoC container, and walks through installing the tool, generating project skeletons, and creating functional CLI, API, Web, WebSocket, gRPC services and a worker‑pool queue consumer with complete code examples.
This guide explains the fundamentals of gRPC, why it uses HTTP/2 and Protocol Buffers, walks through writing and compiling .proto files, provides complete Python server and client examples, and outlines common microservice and Kubernetes use cases, giving developers a practical end‑to‑end workflow.
Faced with limitations of existing tools like Quartz, XXL-Job, and PowerJob, the author explains the motivation for creating a custom scheduling framework, describes its architecture—including gRPC communication, protobuf serialization, a self-implemented name server for load balancing, a simple message queue, and time-wheel scheduling—provides code examples, and shares diagrams of discovery and dispatch processes.
This article walks through a complete performance upgrade of a Go microservice by defining protobuf contracts, generating gRPC code, running both HTTP and gRPC servers side‑by‑side, and using gRPC‑Gateway to keep REST compatibility, resulting in lower latency and a future‑ready architecture.
This article explores five typical high‑concurrency, high‑availability scenarios—gRPC microservice communication, real‑time WebSocket messaging, API‑gateway rate limiting and circuit breaking, Redis‑Stream task queues, and Redis RedLock distributed locks—detailing the problems, Go‑centric solutions, code implementations, and supporting theory.
The article explains how RocketMQ 5.x’s storage‑compute decoupling and POP consumption model require a new gRPC client, and how Tencent Cloud’s virtual‑queue solution provides full compatibility for legacy Remoting SDKs by abstracting queues and transparently converting consumption modes, eliminating client‑side rebalance and preserving order guarantees.
The article explains how TCP provides reliable byte‑stream transport but lacks message boundaries, how HTTP adds structured semantics with headers like Content‑Length, and why RPC frameworks such as gRPC are introduced to make remote calls feel like local method invocations, especially in modern microservice architectures.
This comprehensive guide walks you through enterprise‑grade Nginx configurations—including core settings, rate limiting, reverse‑proxy best practices, load‑balancing strategies, uwsgi, static‑file optimization, WebSocket/gRPC support, CDN caching, and ready‑to‑use templates for diverse business scenarios.
This article dissects the hidden technical debt of internal HTTP APIs, explains why HTTP/1.1 causes head‑of‑line blocking, redundant headers and serialization overhead, and walks through a step‑by‑step, data‑driven optimization roadmap—including HTTP/2, Protobuf, request aggregation, connection pooling, compression, caching, async processing, observability, and safe gray‑release deployment—backed by concrete benchmarks and code samples.
This article explains the fundamentals of distributed communication, outlines essential elements such as serialization, transport protocols, service discovery, load balancing, security, and reliability, and reviews popular frameworks like gRPC, Dubbo, Thrift, and OpenFeign for building robust backend architectures.
This comprehensive guide explains the core concepts, constraints, implementation examples, request‑response flows, and pros‑and‑cons of five major API architectural styles—REST, GraphQL, gRPC, WebSocket, and Webhook—helping developers choose the right approach for different scenarios.
This article explores the role of contracts in software architecture, explaining why architectural-level contract decisions are crucial, comparing strict and loose contracts such as gRPC, REST, and key‑value formats, and introducing consumer‑driven contracts, their trade‑offs, and practical guidelines for reducing coupling and brittleness in microservices.
Microservice architectures face severe communication bottlenecks due to network overhead, serialization costs, and connection management, but by adopting high‑performance protocols like gRPC, leveraging service meshes, optimizing load balancing, caching, connection pools, and robust monitoring, teams can dramatically improve latency and throughput.
Learn how to combine PHP's ease of use with Go's high-performance concurrency by integrating gRPC services into an API Platform project, covering environment setup, protobuf definitions, Go server implementation, PHP client integration, and troubleshooting tips to dramatically reduce API latency.
This article compares four major RPC frameworks—gRPC, Dubbo, Thrift, and Spring Cloud OpenFeign—detailing their core features, performance characteristics, language support, and ideal use cases to help engineers choose the right solution for high‑throughput, low‑latency microservice architectures.
This article, based on the open‑source HiMarket project, systematically compares six mainstream API protocols—from classic RESTful and SOAP to modern GraphQL, microservice‑focused RPC frameworks, real‑time WebSocket, and streaming SSE—detailing their core concepts, technical traits, advantages, and ideal application scenarios.
This article details the two‑month end‑to‑end development of Alipay's AI Travel Assistant, describing the product concept, technical background, adoption of the xUI interaction framework, gRPC streaming, Kotlin Multiplatform integration, migration challenges, performance metrics, and future roadmap.
This article details the end‑to‑end development of Alipay’s AI Travel Assistant, covering product conception, the migration to a unified xUI 1.0 framework, the adoption of KMP for cross‑platform UI, the shift from RPC + SYNC to gRPC streaming, and the challenges of card‑ecosystem migration, all achieved within a two‑month sprint by a four‑person client team.
This article details the rapid two‑month development of Alipay’s AI Travel Assistant, covering product goals, challenges of fragmented travel services, the adoption of the xUI framework, gRPC streaming, KMP cross‑platform code, and the resulting performance and engineering benefits.
This article provides a comprehensive overview of RocketMQ's architecture, detailing its core components, network protocols, storage mechanisms, producer‑consumer workflow, and transactional messaging, while highlighting differences between Remoting and gRPC and explaining key design choices for high performance and reliability.
This guide explains how pbgo extends Protobuf to automatically generate lightweight REST handlers for Go gRPC services and shows how to use the pure‑Go tool grpcurl for fast, code‑free debugging, complete with installation steps, command examples, and practical recommendations.
This article compares RPC and HTTP services, explains the OSI model layers relevant to each, details RPC architecture components, discusses synchronous and asynchronous calls, and reviews popular RPC frameworks such as gRPC, Thrift, and Dubbo, helping developers choose the right approach for large‑scale enterprise applications.
Explore five effective techniques—Jython, JPype, Py4J, Jep, and gRPC—to enable Python and Java to call each other, complete with installation steps, code examples, advantages, and limitations, helping developers choose the right interoperation method for their projects.
This article compares RPC and HTTP services, explains the OSI seven‑layer model, details RPC architecture and its synchronous versus asynchronous calls, reviews popular RPC frameworks such as gRPC, Thrift, and Dubbo, and discusses when to choose RPC over HTTP for enterprise applications.
This article explains how to build a high‑performance asynchronous logging system for Go web services using channels and middleware, covering both gRPC and Gin implementations, a log‑processing engine, performance‑tuning tips, and measured latency and CPU improvements.
This article demonstrates how to build high‑performance, low‑latency Go microservices by integrating gRPC with HTTP/3 over QUIC, covering server and client implementations, a sample Analyze service, step‑by‑step communication flow, and performance comparisons against traditional HTTP/2‑based gRPC.
Learn how to eliminate manual API documentation in Go gRPC projects by automatically generating Swagger docs from Proto annotations, syncing with code changes, and enabling interactive testing, using tools like Buf, grpc-gateway, and Swagger UI in a concise three‑step workflow.
Learn how to create and use non‑blocking (asynchronous) and streaming gRPC clients in Java, covering stub creation, request handling with ListenableFuture, blocking vs listener approaches, and stream observer implementation, enabling high‑concurrency performance testing and real‑time data processing scenarios.
Learn how to create a high‑performance Go microservice using gRPC and Protocol Buffers, covering gRPC advantages, Protobuf service definitions, step‑by‑step server and client implementation, performance comparison with REST, and an introduction to streaming communication modes.
This article explains the motivations behind creating a new distributed scheduling framework, compares existing solutions, and details the design choices—including gRPC communication, protobuf serialization, a custom NameServer for load balancing, and a built‑in message queue with persistence and retry mechanisms—to handle frequent task creation and dynamic parameter changes in a high‑concurrency environment.
This article combines a Meituan salary update with detailed explanations of MySQL indexing strategies, B‑tree variations, ACID transaction properties, isolation levels, caching, handling high‑traffic queries, the Raft consensus algorithm, and an overview of gRPC, providing comprehensive backend development knowledge for interview preparation.
This article explains the motivation, design choices, and implementation details of a custom distributed job scheduling framework, covering its architecture, load‑balancing strategy, message‑queue handling, persistence mechanisms, and key code snippets, while comparing it to existing solutions like Quartz, XXL‑Job, and PowerJob.
This article examines the Multi‑Channel Protocol (MCP) for AI agents, comparing its primary communication options—STDIO and Server‑Sent Events—and exploring additional alternatives such as WebSockets, gRPC, and message queues, while offering guidance on selecting the most suitable protocol for various deployment scenarios.
gRPC offers high performance for microservices, but its generated protobuf code, required fields handling, and steep learning curve create ugly, hard‑to‑maintain implementations; this article examines those pain points, showcases examples, and suggests tools and best practices to mitigate them.
gRPC offers superior performance, efficient Protobuf encoding, strong API contracts, seamless streaming, cross‑language support, and HTTP/2 advantages, making it a compelling alternative to REST for modern web services, while tools like gRPC‑Gateway, ConnectRPC, and Buf streamline migration and ecosystem integration.
This article explains why extending gRPC is necessary, outlines the go‑zero directory structure, describes how go‑zero adapts gRPC through a wrapper generated by goctl, and walks through service initialization and startup, highlighting metrics, etcd registration, interceptors, and health checks.
This article examines the rise of microservice architecture and compares major communication mechanisms—RESTful APIs, gRPC, and message queues—guiding developers on selecting the most suitable approach based on business requirements, system scale, and team expertise.
This article explains the hedged request pattern used by Google to combat microservice tail latency, shows how to implement it in Go with context and goroutines, discusses its impact on latency and load, and explores additional techniques such as SingleFlight and service‑class prioritization to further reduce tail delays.
This article examines gRPC’s implementation principles, multi‑language support, Protocol Buffers foundation, advantages and disadvantages, and provides a C++/Go demo illustrating its cross‑language capabilities within cloud‑native environments, including project structure, code snippets, and discussion of HTTP/2 transport.
This article examines gRPC’s implementation principles, its multi‑language support, Protocol Buffers integration, performance advantages, and limitations such as browser compatibility, while providing a C++/Go demo that showcases cross‑language RPC calls and a detailed project structure.
This article examines common short‑term failure causes in shared‑resource environments, explains gRPC’s retry configuration options and implementation details, and provides practical guidance on setting retry policies, backoff strategies, and status code handling to improve service resilience.
This article introduces the motivation, architecture, technology choices, and key implementation details of a lightweight, highly extensible distributed job scheduling framework built on gRPC, Protobuf, a custom name‑server, and a bespoke message‑queue, addressing limitations of existing solutions like Quartz, XXL‑Job, and PowerJob.
This article explores the fundamentals of load balancing in microservice architectures, detailing both stateless and stateful strategies such as round‑robin, random, hash, and weighted algorithms, and demonstrates how go‑zero and gRPC implement these mechanisms through custom balancers, service discovery, and request scheduling.
gRPC can halve request latency compared to REST+JSON by leveraging HTTP/2’s multiplexed connections and the compact binary Protobuf format, which reduces payload size and speeds serialization, though it introduces complexities like load balancing, debugging, and contract management.
This article explains how a gRPC bidirectional streaming read method was added to Ozone to reduce chunk‑by‑chunk request gaps, describes the client‑side implementation, presents single‑ and multi‑threaded performance tests showing roughly 30% faster reads, and outlines future enhancements such as pre‑fetching.
This article explains how the kubectl command interacts with the Kubernetes control plane, detailing one‑way HTTPS requests and two‑way WebSocket communications, and walks through the full execution flow of a kubectl exec command across kube‑api‑server, kubelet, and the CRI runtime.
This article explains the limitations of traditional RPC, introduces gRPC and Protocol Buffers, details their architecture and performance advantages, provides step‑by‑step C++ server and client code, and discusses practical scenarios such as microservices, real‑time data processing, and a file‑storage service example.
This article introduces Tonic, a Rust gRPC framework, explains its core features, components, and provides detailed, code‑rich instructions for building both server and client applications, while highlighting performance, security, and ideal use‑cases for microservices.
The new OpenTelemetry Java instrumentation adds client and server request‑size metrics to gRPC by injecting a tracing interceptor via Byte‑Buddy bytecode enhancement, extracting payload sizes from protobuf messages, recording them with custom attributes and histograms, and applying analogous handler‑based logic for Go.
Learn how to build high‑performance, secure gRPC services in Rust using the Tonic framework, covering its core components, advantages, installation steps, project setup, protobuf definition, code generation, server implementation, and client creation with detailed code examples.
This article explains the fundamentals of distributed RPC, outlines its end‑to‑end communication workflow, and compares major frameworks such as gRPC, Apache Thrift, Dubbo, Spring Cloud Netflix, ZeroMQ, Apache Avro, and gRPC‑Web, helping developers choose the right solution for their microservice architecture.
This article explains what Protocol Buffers are, how they work through .proto definitions and the protoc compiler, provides a simple example, shows how protobuf powers gRPC services with Go code, and compares its efficiency and type safety to JSON.
This article explains what Protocol Buffers (ProtoBuf) are, how they work, their key advantages over JSON and XML, practical usage patterns with code examples, compression mechanisms, real‑world applications, and best practices for maintaining compatibility in modern software systems.
This article details the design and implementation of HuoLala’s Lingmu platform, which provides zero‑intrusive traffic recording, gRPC‑compatible replay, multi‑level diff noise reduction, and intelligent problem analysis to dramatically improve map service testing coverage, accuracy, and development efficiency.
This article walks developers through the fundamentals of designing robust e‑commerce APIs, covering CRUD operations, protocol choices such as REST, GraphQL and gRPC, versioning strategies, rate limiting, CORS, and best practices for request idempotency and backward compatibility.
This article compares common API communication styles—including SOAP, RESTful, GraphQL, gRPC, WebSocket, and Webhook—explains their strengths and trade‑offs, shows how gRPC operates, outlines when to use short polling versus webhooks, and provides practical tips for boosting API performance and security.
This article explains the fundamentals of Remote Procedure Call (RPC), its historical origins, the step‑by‑step execution process, and provides a practical guide to installing and using gRPC with Protocol Buffers in Go, including full code examples and advantages.
This tutorial provides a step‑by‑step guide to configuring a PHP gRPC client using proto files, Composer, Docker, and Docker‑Compose, covering project structure, code generation, autoload setup, Dockerfile creation, and client execution in a containerized environment.
This article deep‑dives into Nacos as a service registry, explaining the differences between temporary and permanent instances, registration mechanisms across 1.x and 2.x versions, heartbeat and health‑check strategies, service discovery methods, data‑consistency models, and the underlying data model that powers Nacos clusters.
This tutorial explains how to create a Go unary gRPC interceptor that captures request metadata and reports tracing information to Jaeger, covering type definitions, implementation steps, service setup, and testing procedures.
Nacos 2.3.0 introduces gRPC‑based persistent instance registration, UI enhancements, validation and TopN optimizations, while the open‑source Nacos Controller enables bidirectional configuration sync between Nacos and Kubernetes, offering demos, Helm chart integration, and a roadmap toward Nacos 3.0.
Thread profiling uses threshold‑triggered tasks on business threads to capture stack snapshots, which a dedicated profiler thread sends via high‑performance gRPC to a server that queues them in Kafka, enriches and stores them in ClickHouse, correlates with OpenTelemetry traces, and provides metrics that let developers quickly pinpoint latency bottlenecks and improve system stability.
This article analyses the frequent compatibility problems that arise when using etcd v3.3/v3.4 together with newer gRPC and protobuf versions, explains their root causes, and presents the solution introduced in etcd v3.5 with modular Go packages.
This article reviews common API service implementation models—gRPC, GraphQL, REST, WebSocket—and introduces WebHook as a passive real‑time communication mechanism, explaining their key characteristics and typical use cases in modern distributed systems.
The article details a scalable live‑stream full‑stream data system that replaces a tightly‑coupled legacy architecture with a producer‑consumer model using a custom key‑value store, bucket sharding, gRPC server‑streaming, versioned caching, and comprehensive observability, achieving sub‑second queries, horizontal scalability, and reliable support for thousands of downstream services.
This guide walks through creating a Rust project that uses the Tonic library to implement gRPC streaming, covering project setup, protobuf definitions, server and client code, testing with grpcurl, and enabling the reflection API for service introspection.
This article explains the fundamentals of Remote Procedure Call (RPC), explores how data moves across OSI layers, compares HTTP and RPC, and provides a complete Node.js JSON‑RPC example with code, error handling, and real‑world use cases such as Chrome DevTools Protocol.
This article presents a concise animated overview of six widely used API patterns—gRPC, SOAP, GraphQL, WebHook, REST, and WebSocket—explaining their core concepts, typical use cases, and relevance in modern software development, and points to short video tutorials for deeper understanding.
The article details how a sudden surge in goroutine and heap usage was traced to repeatedly creating gRPC clients instead of reusing a singleton, leading to blocked goroutines and TCP connections, and explains using pprof, stack traces, and tools like goleak to detect and prevent such leaks.
This article explains the fundamentals of Nacos dynamic service discovery, covering its purpose, communication protocols, registration, heartbeat, subscription, push mechanisms, and client querying, and includes detailed code examples and diagrams to illustrate the internal processes and performance improvements.
Developers and architects can compare Apache Dubbo, Spring Cloud, gRPC, and Istio across architecture, performance, scalability, and governance, gaining clear guidance on selecting the right micro‑service framework and understanding each tool’s strengths, protocol support, and integration patterns for enterprise‑grade cloud‑native applications.
IntelliJ IDEA 2023.2 introduces a suite of enhancements—including a Run‑window profiler, inline return breakpoints, automatic test reruns for Gradle/Maven/JPS, WSL‑based Tomcat debugging, TLS‑enabled gRPC requests, Swagger and OpenAPI support, shared index generation, and numerous UI and code‑completion upgrades—streamlining Java development workflows.
The article explains how Dubbo 3’s upgraded Triple protocol, fully compatible with gRPC and runnable over HTTP/1 and HTTP/2, simplifies client and server integration, reduces development and operational costs, and offers multi‑language support, making it a practical choice for cloud‑native microservice architectures.
This article evaluates the impact of three microservice communication styles—REST, gRPC, and asynchronous messaging via RabbitMQ—on functional and non‑functional software quality attributes, presenting experimental results from a Kubernetes‑based order‑processing scenario that show gRPC delivering the best performance across varying loads.
This article compares RPC and HTTP interfaces, detailing their architectures, popular frameworks, performance characteristics, load‑balancing, and service‑governance features, and provides practical guidance on selecting the right approach for internal high‑performance services or external cross‑platform APIs.
Eclipse Vert.x 4.4.3 introduces a series of updates across core components—including JDBC client tracing fixes, GraphQL-Java upgrade, enhanced gRPC support, Netty and Hazelcast upgrades, new Consul ACL API, Infinispan lock handling, SSL option improvements, Groovy 4.0.12, and various bug fixes—strengthening its lightweight, high‑performance, asynchronous backend framework.
This article explains the fundamental differences between RPC and HTTP services, covering OSI model layers, RPC architecture components, synchronous vs asynchronous calls, popular RPC frameworks such as gRPC, Thrift, and Dubbo, and when to choose each approach for enterprise applications.
This article provides a step‑by‑step guide on how to integrate Dubbo with SpringBoot to enable the gRPC protocol, covering project structure, Maven BOM dependencies, protobuf generation, service implementation, configuration details, and the differences between Dubbo‑enabled gRPC and native gRPC.
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.
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 explains Nacos's dynamic service discovery, covering its core architecture, communication protocols, registration and heartbeat mechanisms, subscription and push processes, as well as SDK query flows, and includes detailed code examples to illustrate each step.
This article explains the fundamentals of REST and gRPC APIs, compares their design constraints, features, and typical use cases, and helps developers choose the most suitable framework for building scalable, high‑performance microservice architectures.
This article explains the fundamental differences between RPC and HTTP services, covering OSI layers, RPC architecture, synchronous vs asynchronous calls, popular RPC frameworks, and when to choose each approach for enterprise applications.
The eighth Scala Meetup featured three technical talks—Tubi’s journey with gRPC and Akka‑gRPC migration, an introduction to functional programming concepts in Scala, and the use of Scala in interactive notebooks—followed by audience Q&A and links to full recordings and slides.
This article shares Tubi’s experience using Elixir‑gRPC in production, covering performance optimizations, stability measures, HTTP/2 edge‑case handling, and practical code examples for efficient Protobuf processing; it also discusses Envoy sidecar integration, interceptor usage, and lessons learned from real‑world deployments.
Apache RocketMQ 5.0 introduces a stateless proxy, gRPC‑based multi‑language SDK with immutable APIs, enhanced error handling, SimpleConsumer, and pop consumption, and the article outlines the technical improvements, roadmap, and step‑by‑step guide for developers to set up the environment, understand the new protocols, and contribute language client implementations.
This article explains the OSI seven‑layer model, compares RPC and HTTP services, details RPC architecture, synchronous vs asynchronous calls, and reviews popular RPC frameworks such as gRPC, Thrift, and Dubbo, helping developers choose the right communication approach for enterprise applications.
This article introduces Service Mesh fundamentals, traces its evolution to Istio, explains the Proxyless Mesh architecture that eliminates sidecar proxies, and provides a step‑by‑step Spring Cloud demo showing how to enable xDS‑based, sidecar‑free communication across multi‑language microservices on Alibaba Cloud MSE.
Chaos Engineering and Fault Injection System Design combine steady-state hypotheses, controlled blast-radius experiments, and a lightweight interceptor layer using gRPC and protobuf to inject and report faults in micro-service architectures, enabling continuous testing, rapid MTTR reduction, and resilient services through automated, real-time experimentation and analysis.
gRPC is a high‑performance, open‑source RPC framework built on HTTP/2 and Protocol Buffers, and this guide explains its core concepts, communication patterns, protobuf usage, and provides step‑by‑step Python examples for creating, compiling, and running client‑server services, plus deployment tips.
