Command line tools (CLI) are indispensable tools for developers and system administrators. Rust is renowned for its performance and security, making it an excellent choice for building robust and efficient CLI applications. This guide will take you step by step through creating a command-line tool using Rust and fully utilizing the latest features of Rust 1.70+.
Developing a website with Go 1.22 has become more streamlined with its improved routing features, making it simpler to handle HTTP requests. Go's standard library now supports method matching and wildcards, reducing reliance on third-party routing libraries.
Smol is a lightweight and fast asynchronous runtime for Rust, perfect for enhancing I/O operations and network communication efficiency. It supports native async/await, requires minimal dependencies, and is easy to use with its clear API. Ideal for both beginners and experienced Rust developers seeking high-performance async solutions. Learn how to implement Smol with detailed examples.
Rust 2024 introduces significant updates to `impl Trait`, making it more intuitive and flexible. The new version allows hidden types in `impl Trait` to utilize any generic parameters by default, aligning with common developer expectations. For finer control, a `use<>` bound syntax is introduced, specifying exactly which types and lifetimes can be used by the hidden types. These changes simplify code while enhancing expressiveness and flexibility, catering to both new and experienced Rust developers.
Rust and JVM integration paves the way for high-performance applications, blending Rust's memory safety and concurrency with JVM's cross-platform capabilities. This union facilitates efficient native code compilation and robust garbage collection, addressing real-time challenges and startup delays. Explore advanced integration techniques like JNI, GraalVM, and WebAssembly to harness the full potential of both ecosystems for secure and rapid development.
Discover Serde for serialization, Rayon for parallel computing, Tokio and Actix-web for asynchronous programming, reqwest as an HTTP client, Diesel for ORM, clap for command-line arguments, Log for flexible logging, Regex for powerful pattern matching, and rand for generating random numbers. These libraries are essential for enhancing development efficiency and code quality in Rust projects.
Tauri 2.0 offers cross-platform development with mobile support, enhancing its appeal to developers seeking efficient, lightweight solutions for both desktop and mobile apps. Its performance and ease of use make it a strong contender in the market, potentially rivaling traditional frameworks. Ideal for projects requiring rapid development and multi-platform support.
深入了解浮漂式流量计，这类仪器在水利工程、环境监测和工业生产等领域中发挥着关键作用。本文概述了它们在不同场景下的应用，强调了其简单性、经济性和维护的便捷性。探索这些流量计如何提高流体测量的效率和准确性。
Explore the intricacies of the float flow meter, an indispensable tool for accurate flow measurement in various sectors. This comprehensive guide covers its unique features, technical specifications, and its role in enhancing efficiency in water management, environmental protection, and industrial processes. Discover why this cost-effective solution is gaining popularity in the field of fluid dynamics.
Building an Enterprise IoT from Scratch Summary
从零构建企业物联网目录
The background of the era of IoT platforms From the initial exploration in the 1970s, to the concept proposal in the 1990s, and then to the technological breakthroughs in the 2000s, the IoT has experienced rapid development. Key technologies such as sensor technology, communication technology, big data, and cloud computing have driven the popularization and application of IoT. Understanding the history and technological driving factors of IoT helps to better grasp future development trends.
物联网平台的时代背景：从20世纪70年代的初步探索，到90年代的概念提出，再到2000年代的技术突破，物联网经历了快速发展。传感器技术、通信技术、大数据和云计算等关键技术推动了物联网的普及和应用。了解物联网的历史和技术驱动因素，有助于更好地把握未来的发展趋势。
This chapter summarizes the basic knowledge of IoT, including network communication, data collection, data storage and management, device management and maintenance, data analysis and intelligent decision-making, edge computing and IoT, etc. Through these contents, readers can fully understand the basic concepts and application scenarios of IoT.
This article details the application of IoT data analysis in fields such as smart homes, industrial automation, and smart cities. Through steps such as data collection, data preprocessing, data analysis, and result interpretation, it helps enterprises optimize production processes, improve resource utilization, and enhance operational efficiency and quality of life.
This article introduces in detail the data collection technology in the IoT system, including the classification and characteristics of sensors and their applications in different fields. By understanding this basic knowledge, readers can better understand the importance of data collection in IoT and its practical application scenarios.
This article introduces data storage and management in IoT systems, including data lifecycle management, types of data storage, and methods for handling time-series data. By understanding these contents, readers can better choose and manage IoT data storage solutions to ensure data availability, integrity, and security.
This article details various aspects of IoT device management and maintenance, including device registration, device authentication, device monitoring, etc. Through a systematic device management process, ensure that devices operate efficiently and securely throughout their lifecycle.
This article explores the application of edge computing in the Internet of Things (IoT), introducing the definition of edge computing, the collaboration between edge computing and cloud computing, and the challenges and solutions of edge computing. Through edge computing, IoT systems can achieve real-time data processing and local decision-making, improving response speed and reliability. The edge-cloud collaborative architecture combines the advantages of both, optimizing resource utilization and enhancing system performance.
This article introduces the key elements of IoT platform architecture design, including multi-protocol support, data processing capabilities, flexible alert and notification mechanisms, fine-grained permission management, and comprehensive data security measures. At the same time, the article also elaborates on the various architectural layers of the IoT platform, such as the communication layer, data parsing layer, data storage layer, user management layer, data permission layer, data analysis layer, notification layer, and operation and maintenance layer.