Jan 16
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Are your microservices still talking over slow, chatty REST while you wonder why everything feels laggy in production? In this video, you’ll learn how gRPC, HTTP/2, and Protocol Buffers transform inter-process communication into a fast, strongly-typed backbone for modern distributed systems. gRPC Up & Running | Chapter summarized Building Cloud Native Applications with Go and Java for Docker and Kubernetes Use coupon code PROGRAMMERCAVE on https://app.emergent.sh/?via=programmercave to get 5% off on all your payments. Tired of coding? [Lovable](https://lovable.dev/?via=programmercave) is your AI-powered full-stack engineer! Go from idea to fully functional app in minutes. Perfect for founders, designers, and product teams. Try it now! Elevate your tech career with [Scaler](https://www.scaler.com/?unlock_code=MAIL575E)! Join a community dedicated to transforming careers in technology. With over 15,000 successful career transitions and partnerships with 900+ placement partners, [Scaler](https://www.scaler.com/?unlock_code=MAIL575E) offers tailored learning experiences that can help you become part of the top 1% in the tech industry. Explore a variety of programs, participate in live classes, and gain access to valuable resources designed to enhance your skills. Whether you're looking to advance in your current role or pivot to a new career, [Scaler](https://www.scaler.com/?unlock_code=MAIL575E) provides the support and guidance you need to succeed. Don't miss out—book your free live class today! https://programmercave.com/ Summary: This video starts from first principles of inter-process communication (IPC)—why separate services cannot share memory and must rely on the network—and then shows how REST began to break down at scale for server-to-server communication. You’ll see how gRPC uses HTTP/2 and Protocol Buffers to deliver low-latency, high-throughput communication between microservices while enforcing strict contracts via .proto files and generated stubs. Finally, the video adds a senior engineer’s lens, covering real-world pitfalls like network fallacies, schema evolution, and N+1 call patterns that silently kill performance. What you will learn: What IPC really is, why microservices must communicate over the network, and how that differs from in-memory function calls in a monolith. The difference between synchronous request–response calls and asynchronous, event-driven messaging in distributed architectures. Why REST+JSON over HTTP/1.1 becomes slow and verbose for service-to-service traffic compared to binary protocols. How gRPC leverages HTTP/2 features like multiplexing plus Protocol Buffers’ compact binary format to reduce latency and bandwidth usage. How .proto files work as an Interface Definition Language (IDL) and how code generation creates type-safe client stubs and server skeletons. The role of strong contracts in polyglot systems (Go, Python, Java, etc.) and how Protobuf helps avoid type mismatches. Practical pitfalls: treating remote calls like local calls, timeouts, partial failures, and how this ties into CAP theorem decisions. Schema evolution and backward compatibility rules in Protocol Buffers so old clients can safely talk to new servers. How generated stubs can both boost productivity and accidentally create tight coupling or N+1 network call anti-patterns. Why proper tooling (grpcurl, logging, monitoring) is critical for debugging binary RPC protocols in production. Target audience: Perfect for backend developers, Go/Golang engineers, and students who want to move beyond basic REST APIs into high-performance microservices communication. This video is especially useful if you are preparing for system design interviews, working on distributed systems, or upgrading an existing REST-based architecture to gRPC. SEO and tags Keywords (15–20, comma-separated): gRPC tutorial, gRPC vs REST, microservices communication, inter process communication, IPC in microservices, gRPC Go example, protocol buffers tutorial, protobuf schema evolution, HTTP2 gRPC, high performance microservices, backend system design, distributed systems gRPC, REST limitations microservices, gRPC client stubs, gRPC server implementation, Go microservices architecture, CAP theorem microservices, event driven vs request response, gRPC best practices, gRPC debugging tools Hashtags: #gRPC #Microservices #Golang #SystemDesign #BackendDevelopment YouTube Category: Science & Technology