HUAWEI CLOUD Microservice Tool Improves Development EfficiencyHUAWEI CLOUD Microservice Tool Improves Development Efficiency Department: Application Platform Service Author: Wang Qijun Date: 2019-09-20 Security Level: Contents 1. Tool for Splitting Monolithic Monolithic Applications into Microservices 2. Contract Management Tool 3 Advantages of the Microservice Architecture Factor Monolithic Architecture Microservice Architecture Delivery speed Slow Fast Fault isolation difficulty: identifying relevant code modifications Core technology: application-level formal verification Tool for Splitting Monolithic Applications into Microservices Improves Development Efficiency Supported0 码力 | 14 页 | 795.42 KB | 1 年前3
Build a lightweight logging and tracing tool with Apache Arrow, Parquet and DataFusion 朱霜Build a lightweight logging and tracing tool with Apache Arrow, Parquet and DataFusion 朱霜 2023.06.18 1. Introduction 2. Duo - Observability duet: Logging and Tracing • What is Duo? • How does0 码力 | 26 页 | 11.05 MB | 1 年前3
How to Build Your First C++ Automated Refactoring Tool - CppCon 20239Proprietary + Confidential Large Scale Refactorings & Automated Refactoring Tools 10 10Refactoring Tool Use Cases 02 11Proprietary + Confidential Consistent Code Formatting 12 12Proprietary + Confidential0 码力 | 83 页 | 6.03 MB | 6 月前3
Taming the C++ Filter Viewis cached – Compile-time errors: not usable if const – Runtime errors: reading is not stateless, healing broken elements is UB, trivial modifications cause UB, concurrent reads cause UB • begin() is initialized cached – Severe compile-time errors: unusable with const – Runtime errors: reading is not stateless, healing broken elements is UB, trivial modifications cause UB, concurrent reads cause UB • begin() is initialized0 码力 | 43 页 | 2.77 MB | 6 月前3
PromQL Got a BOOST: 用 Rust 重写 Prometheus 的查询引擎Ruihang GitHub: waynexia Losing hair at Greptime Wanna sleep 10 hrs/day Learn JS every year Healing the Hyrule ABOUT Background 01 CONTENTS the Parser 02 the Engine 03 Rust Gives 04 Outlook0 码力 | 39 页 | 6.95 MB | 1 年前3
1.5 Improving Go Backend Developer Experience in GrabReproducible: Hermeticity 03. Production Deployment Too many graphs…. 03. Production Deployment Self-healing where possible 03. Production Deployment Deployment Strategies 03. Production Deployment Slow0 码力 | 47 页 | 8.58 MB | 1 年前3
Django 1.8.x Documentationthis tutorial, we’re going to use setuptools to build our package. It’s the recommended packaging tool (merged with the distribute fork). We’ll also be using pip to install and uninstall it. You should you’re maintaining several Django projects. When they do, the best solution is to use virtualenv. This tool allows you to maintain multiple isolated Python environments, each with its own copy of the libraries they are costing you. You may also want to use an external project like django-debug-toolbar, or a tool that monitors your database directly. Remember that you may be optimizing for speed or memory or0 码力 | 1685 页 | 6.01 MB | 1 年前3
Django 1.8.x Documentationthis tutorial, we’re going to use setuptools to build our package. It’s the recommended packaging tool (merged with the distribute fork). We’ll also be using pip to install and uninstall it. You should you’re maintaining several Django projects. When they do, the best solution is to use virtualenv. This tool allows you to maintain multiple isolated Python environments, each with its own copy of the libraries they are costing you. You may also want to use an external project like django-debug-toolbar, or a tool that monitors your database directly. Remember that you may be optimizing for speed or memory or0 码力 | 2454 页 | 2.85 MB | 1 年前3
Django 1.10.x Documentationthis tutorial, we’re going to use setuptools to build our package. It’s the recommended packaging tool (merged with the distribute fork). We’ll also be using pip to install and uninstall it. You should you’re maintaining several Django projects. When they do, the best solution is to use virtualenv. This tool allows you to maintain multiple isolated Python environments, each with its own copy of the libraries to activate the virtualenv whenever you open a new terminal window. virtualenvwrapper is a useful tool for making this more convenient. Anything you install through pip from now on will be installed in0 码力 | 1817 页 | 6.19 MB | 1 年前3
Django 1.10.x Documentationthis tutorial, we’re going to use setuptools to build our package. It’s the recommended packaging tool (merged with the distribute fork). We’ll also be using pip to install and uninstall it. You should you’re maintaining several Django projects. When they do, the best solution is to use virtualenv. This tool allows you to maintain multiple isolated Python environments, each with its own copy of the libraries to activate the virtualenv whenever you open a new terminal window. virtualenvwrapper is a useful tool for making this more convenient. Anything you install through pip from now on will be installed in0 码力 | 2538 页 | 2.59 MB | 1 年前3
共 1000 条
- 1
- 2
- 3
- 4
- 5
- 6
- 100













