AMWA NMOS: Building the Control Plane for SMPTE ST 2110 with Go Summary NMOS Overview: Open specifications for networked media control and management IS-04: Discovery and Registration of devices and resources IS-05: Device Connection Management for automated routing IS-06: SDN control for switches and network infrastructure IS-08: Channel Mapping for audio routing within devices IS-09: System Parameters for global network timing Go Implementation: Production-ready NMOS client and registry server Real-world Use Cases: Automated workflows, resource discovery, connection management, SDN integration Note: This article provides comprehensive coverage of AMWA NMOS specifications with practical Go implementations.

Building WebAssembly Applications with Go: A Complete Guide WebAssembly (WASM) has revolutionized web development by allowing high-performance code to run in browsers at near-native speed. Go, with its excellent tooling and straightforward syntax, is an ideal language for building WASM applications. In this comprehensive guide, we’ll explore how to create, optimize, and deploy WebAssembly applications using Go. TL;DR WebAssembly: Binary instruction format for browsers, enabling near-native performance Go + WASM: Compile Go code to WASM for browser execution Key Benefits: Performance, code reuse, type safety, and modern tooling Use Cases: Image processing, games, data visualization, cryptography, and more Production Ready: Complete examples with optimization techniques 1.

Building Production-Ready SRT Gateway with Go Summary SRT Protocol: UDP-based secure and reliable transport protocol for live streaming Go Implementation: High-performance SRT server with concurrent connection handling Production Ready: Authentication, encryption, statistics, and monitoring Low Latency: Sub-second latency for broadcast-quality streaming Use Cases: Live news, sports broadcasting, contribution links, remote production Note: This article provides a complete implementation guide for an SRT gateway server used in production broadcast environments. All code examples are based on real-world scenarios and have been tested in live systems.

How Go (Golang) Works? Go (Golang) is a programming language developed at Google, designed to meet modern software engineering needs. In this article, we’ll examine Go’s execution model in depth—from compilation to runtime internals, from goroutines to garbage collection. Summary Compilation pipeline: Lexer, parser, type checker, SSA, code generation Runtime internals: Scheduler (M:P:G), memory manager, garbage collector Concurrency model: Goroutines, channels, select Performance: Native binary, low latency, high throughput Production ready: Case studies, debugging scenarios, optimization techniques Note: This article is a deep dive into the Go runtime.

Real-Time Video Analysis and Edge Processing with Go Summary Edge Processing: Processing data locally without sending it to the center Go + Video Pipeline: High-performance video processing with goroutine and channel structure Production Ready: Motion detection, object detection, event publishing, monitoring Cost Savings: 95%+ savings compared to cloud processing Note: This article shares the core components of a video analysis system used in production. Code examples and architectural decisions are based on real project experiences.

The Power of Golang with gRPC: High-Performance Microservice Communication - A Modern Approach TL;DR gRPC: High-performance RPC framework developed by Google, using HTTP/2 and Protocol Buffers Go + gRPC: Ideal combination for concurrency and performance 4 Communication Models: Unary, Server Streaming, Client Streaming, Bidirectional Streaming Production Ready: Auth, Load Balancing, Health Checks, Monitoring support 1. Introduction: Modern Solution to Communication Challenges in the Microservice Era In the modern software ecosystem, microservice architectures have created a revolution to overcome the limitations of monolithic structures.

Modern API Protocols: A Comprehensive Review with Go TL;DR REST: Simple integration, broad client support; great for CRUD and public APIs. gRPC: Low latency, high throughput; best for microservice-to-microservice. GraphQL: Flexible querying and single endpoint; frontend/mobile heavy apps. WebSocket: Real-time, bidirectional; chat, trading, collaboration, games. Webhook: Event-driven integrations and automation. gRPC‑Web: Browser-friendly gRPC via gateway; type-safe and fast. tRPC: End-to-end type safety in TypeScript stacks; rapid dev. Quick Selection Guide Need real-time?

High-Performance Messaging Systems with Apache Kafka and Go: Architecture, Optimization, and Practical Solutions Apache Kafka stands as one of the most powerful and efficient distributed messaging systems in modern data architectures, offering an ideal solution for developing high-performance applications. In this comprehensive article, we will delve into the technical architecture behind Kafka’s exceptional performance and demonstrate its effective implementation with Go programming language through detailed examples and real-world scenarios. 🏗 Kafka’s Performance Architecture Let’s demonstrate Kafka’s basic architecture with the following diagram:

Design Patterns in Software Development: A Comprehensive Review with C and Go Examples Introduction Purpose of This Article: This article is not intended to promote design patterns as the ultimate solution. Instead, it aims to explain the challenges and limitations of design patterns, particularly in the context of C and Go. We’ll explore why many traditional patterns might be unnecessary or even counterproductive in these languages. Definition and Context: Design patterns are reusable solution templates for common problems encountered in software development.

Building a Modern Video Streaming Platform with AV1 Technology: Creating a Netflix-like Experience Setup and optimization of a premium video streaming service using AV1 codec within the Amazon AWS ecosystem Contents Introduction AV1 Codec: Next-Generation Video Compression Platform Architecture with Amazon AWS and AV1 Content Preparation and Encoding Strategy Distribution Infrastructure and CDN Optimization User Experience and Player Integration Scaling and Cost Optimization Challenges and Solution Strategies Future Planning Conclusion Introduction Today, video streaming platforms constitute a significant portion of internet traffic.