Performance Lets dive into Performance issues. • Everything in JavaScript defaults to being on the same thread. Too much work on main thread • Android nested layouts • Functions and objects defined

LZ4) • Typically 100x faster than MySQL on Single Server • Semi-Linear Scalability to 100s of nodes High Performance © 2018 Percona. 8 MySQL Wire Protocol Compatibility with ProxySQL Extra Query Logs to ClickHouse © 2018 Percona. 23 When to use Slow Query Logs ? Everything Else  Performance Analyses Debugging © 2018 Percona. 24 Slow Log Record Example © 2018 Percona. 25 Configuring

an open source framework by Google for building beautiful, natively compiled, multi- platform applications from a single codebase. - Single codebase - Hot reload - Rendering Engine 利用 Rust 重塑移动应用开发 Third-party support (Javascript better than Dart) 利用 Rust 重塑移动应用开发 跨平台开发的优势和局 限性 Cons: - Performance - Native feature utilize - Existing Codebase 跨平台开发到到底 应该跨什么？ UI or Logic ? 利用 Rust 重塑移动应用开发 的特点 Why Rust? - Cross platform - Performance - Thread Safe - Memory Safe - Love 利用 Rust 重塑移动应用开发 Rust 在移动应用 开发中的应用 Why Rust? - Cross platform - Performance - Memory Safe - Love 利用 Rust 重塑移动应用开发

互联网企业的发展模式 Web3? So-called Web3 ？ Where is the Next Stage ★ Blockchain ★ Decentralized Ledger Storage: MPT (Merkle Patricia Tree) ★ K-V database ★ Smart Contract ★ Serverless The Weapons Web3 Utilizes general cases • Limites of On-chain VM computation • Limites of MPT • Limites of K-V db Problems of Web3: Technical Viewpoint Financial Model: Account=>Balance ➔ Relatively closed dataset, linear increasement the closed data model has been at the end. A New Proposal: Open Data Application The Road to Open Web ➔ From the user side, it looks like just the traditional Internet app ➔ But everyone have the chance

目前正在使用 Rust 开发并行调度框架等模块。 Rust 异步并发框架在移动端的应用 陈明煜 chenmingyu4@huawei.com 华为 公共开发部 嵌入式软件能力中心 Applications of Rust Runtime in Mobile Overview of asynchronous Rust #1 Rust 异步简介 Ylong async runtime #3 在同步环境阻塞等待子异步任务完成，在异步 环境异步等待子异步任务完成  优先级继承：子任务默认继承父任务优先级， 也可使用 detached 模式指定其他优先级  任务取消：取消父任务，也将取消所有子任务 性能 Performance 耗时 ( 单位 us) Tokio ylong 耗时比 / tokio IO 低并发，低传输 40,279 49,018 1.217 IO 低并发，高传输

Database + Caching + Data Subscription + Stream Processing Shell: Command Line Interface High Performance, Cloud Native Simplified Solution for Time-Series Data TDengine Telegraf Kafka OPC-UA MQTT Analytics, ML App Python/Matlab/R Java/C/C++/Restful IoT Application Visualization Tool Grafana Web Based Management Tool 21,400+ 4,600+ 18,500+ 社区版开源 2019.07.12 集群版开源 2020.08.03 云原生版开源 2022.08.13 io/crates/tokio-cron-scheduler • MPMC Channel: https://crates.io/crates/flume • Web Service: • Framework: https://crates.io/crates/actix-web • OpenAPI：https://crates.io/crates/utoipa • Metrics: https://crates.io/crates/metrics

функции обработки URL и IP-адресов • Performance monitoring: квантили • Geospatial: geoDistance, pointInPolygon, H3, S2 ClickHouse — гибкая система 8 Web analytics Mobile app analytics Ads analytics analysis DPI analysis CDR records analysis Fraud & spam detection DDoS protection Application performance monitoring Logs & metrics Security events and logs. SIEM Analytics of corporate networks Telemetry

work-stealing scheduler. Applications can process hundreds of thousands of requests per second with minimal overhead. Fast async/await reduces the complexity of writing asynchronous applications. Paired with with Tokio's utilities and vibrant ecosystem, writing applications is a breeze. Easy The needs of a server application differ from that of an embedded device. Although Tokio comes with defaults that

branches & customizations • Hot Reload • Dependent breakpoints & Force run to cursor • And… performance Performance of Visual Studio Build Debug Edit Developer inner-loop Developer inner-loop Build faster Unreal Engine 4.27.1 IntelliSense Ready 18x faster Learn more at http://aka.ms/18xfaster Performance of Visual Studio Developer inner-loop Build Debug Edit Find in Files 1.8x faster Open faster Unreal Engine 4.27.1 IntelliSense Ready 18x faster Learn more at http://aka.ms/18xfaster Performance of Visual Studio At CppCon last year Developer inner-loop Build Debug Edit Find in

Ordering on the Intel Xeon Phi • Modern server architectures rely on memory locality for optimal performance. Data needs to be organized that allows the CPU’s to process the data, without having to wait using a Morton ordering, can help in many cases. When data is held in cache or in cache lines, performance will be better than if data is held in different cache lines. On the Intel Xeon Phi coprocessor in up to 11 times the performance on the Intel Xeon Phi coprocessor. When using multiple threads (which the Intel Xeon Phi is designed for), using the Morton ordering, performance is up to 2.44 times