#MongoDB Shell

[koecode]

Preparation for the study

Hello guys!

Well, I've been doing a course of java in the past week or so, but I haven't been tracking and I want to keep a progress to be more sure I am in a good pace and will end it (kinda) faster.

So today I am going to pick a schedule and turn it into a habit, also I am going to organize how I will spend my time studying. I am learning Java (still on the very beginning heelp). So far, have made into 55 of 541 videos in the Java course, 77 hours of lessons and there's also practice and some challenges to do. I don't think I am able to get it done if I don't put my effort into being aware of my time, so my biggest flaw here is to keep focus and avoid procrastination at all my costs.

The course abt java has:

-Fundamentals of Java

-Programming oriented object

-Functional programming

-Mysql

-Mongodb

-Spring boot

-Javafx

-JPA

-Hibernate

And when I end this course I will continue with the ""sequel"", my point is to keep learning so I can get a job at the field and move on into being able to buy more books and keep this looping going. As the obsessive I am, I'm fully engaged in tech obviously, so my plans much depends on learning about it, and then how to make everything in my life about it too so... Yeah it will be fun, and a big stress probably. Hope I don't burn my head doing that.

Also, I bought last week a few other courses, cuz they were for such a good price I couldn't say no. Still haven't picked any of them to study, but, respectively they are:

-HTML and Css basics

-Terminal for beginners

-Gnu nano

-Shell script advanced

-Learn to compile

-VPS Server

-Create your own package manager

-Vagrant

-Slackware essentials

-Darkweb

Those are some topics I am interested in, even knowing a little about one here and there, will be a great challenge to advance my comprehension. I need to find time to put them into schedule. Wish me luck everybody. Maybe I am getting too overwhelmed to do everything I picked? Of course, but fuck it I can handle - just not at the same time obviously, sometime I will get there I just need to be patient with myself and keep consistency at check.

Gosh, was a long post huh? I will say later on my plan to get it all done! Until them, thank you for staying with me.

[mysterioussurvivorundertow]

免费云服务器：全面指南与最佳选择

什么是免费云服务器？

免费云服务器是指云服务提供商为用户提供的无需付费即可使用的虚拟服务器资源。这类服务器通常具备基础的计算、存储和网络功能，适合个人开发者、学生或初创企业进行测试、学习和小型项目部署。

与付费云服务器相比，免费云服务器在性能、存储和运行时间上可能有所限制，但对于入门级用户来说，仍然是一个极具吸引力的选择。

免费云服务器的优势

1. 零成本体验云计算

使用免费云服务器，用户无需支付任何费用即可体验云计算的基本功能，包括虚拟机的创建、网络配置和应用部署。

2. 适合学习和测试

对于开发者、学生或IT爱好者来说，免费云服务器是学习Linux、Web开发、数据库管理等技术的理想平台。

3. 短期项目和小型应用部署

如果只是运行一个小型网站、API服务或测试环境，免费云服务器完全能够满足需求，避免不必要的开支。

4. 多家云厂商提供免费方案

目前，许多知名云服务商（如AWS、Google Cloud、阿里云、腾讯云等）都提供免费云服务器试用或长期免费套餐，用户可以根据需求选择。

主流免费云服务器推荐

1. Amazon AWS Free Tier

AWS提供12个月的免费云服务器（EC2）试用，包括750小时/月的t2.micro实例（1核1GB内存），适合初学者入门。

2. Google Cloud Free Tier

Google Cloud提供$300的免费额度，可用于创建免费云服务器（Compute Engine），有效期为90天，适合短期项目测试。

3. 阿里云免费套餐

阿里云为新用户提供12个月的免费云服务器（ECS），配置为1核1GB内存，适合国内用户使用。

4. 腾讯云免费体验

腾讯云提供1个月的免费云服务器（CVM）试用，配置为1核1GB内存，适合短期开发需求。

5. Oracle Cloud Free Tier

Oracle Cloud提供永久免费的免费云服务器（2个AMD实例，1核1GB内存），适合长期使用的开发者。

如何申请免费云服务器？

1. 注册云服务商账号

访问AWS、Google Cloud、阿里云等官网，使用邮箱或手机号注册账号。

2. 完成身份验证

部分平台（如AWS、Google Cloud）需要绑定信用卡（不会扣费），而阿里云、腾讯云可能需要实名认证。

3. 选择免费套餐

在控制台中找到免费云服务器相关选项，如AWS的“Free Tier”或阿里云的“免费试用”。

4. 创建并配置云服务器

按照指引选择操作系统（如Ubuntu、CentOS）、配置CPU和内存，并设置SSH密钥或密码。

5. 连接和管理服务器

使用SSH工具（如PuTTY、Termius）登录免费云服务器，开始部署应用或进行测试。

免费云服务器的限制与注意事项

1. 资源有限

大多数免费云服务器仅提供1核CPU和1GB内存，不适合高负载应用。

2. 时间限制

部分服务（如AWS、Google Cloud）仅提供12个月或更短的免费期，到期后需付费或迁移数据。

3. 流量和存储限制

免费套餐通常限制每月流量（如AWS免费套餐仅15GB出站流量），超出后可能产生费用。

4. 可能需绑定信用卡

部分平台（如AWS、Google Cloud）要求绑定信用卡，但不会自动扣费，除非超出免费额度。

5. 适合非商业用途

免费云服务器主要用于学习和测试，不建议用于商业项目，以免因资源不足影响服���稳定性。

免费云服务器的常见用途

1. 搭建个人博客或网站

使用WordPress、Hexo等工具在免费云服务器上部署个人博客。

2. 运行测试环境

开发者可以用它来测试代码、数据库（MySQL、MongoDB）或微服务架构。

3. 学习Linux和DevOps

通过SSH管理免费云服务器，学习Shell脚本、Docker、Kubernetes等技术。

4. 搭建VPN或代理

部分用户利用免费云服务器搭建Shadowsocks或WireGuard，实现科学上网（需遵守当地法律）。

5. 运行小型API服务

适合部署RESTful API、Webhook或自动化脚本，如Telegram Bot、爬虫等。

免费云服务器 vs. 付费云服务器

对比项免费云服务器付费云服务器成本完全免费按需付费性能低配（1核1GB）高配（可扩展）稳定性可能受限高可用适用场景学习、测试企业级应用技术支持有限专业客服

总结

免费云服务器是入门云计算、测试项目或学习技术的绝佳选择。虽然它们在性能和时长上有限制，但对于个人用户和小型项目来说已经足够。AWS、Google Cloud、阿里云、腾讯云等平台都提供了不错的免费方案，用户可以根据需求选择最适合的服务。

如果你是开发者、学生或技术爱好者，不妨尝试申请一个免费云服务器，开始你的云计算之旅！

[souhaillaghchimdev]

Using Docker in Software Development

Docker has become a vital tool in modern software development. It allows developers to package applications with all their dependencies into lightweight, portable containers. Whether you're building web applications, APIs, or microservices, Docker can simplify development, testing, and deployment.

What is Docker?

Docker is an open-source platform that enables you to build, ship, and run applications inside containers. Containers are isolated environments that contain everything your app needs—code, libraries, configuration files, and more—ensuring consistent behavior across development and production.

Why Use Docker?

Consistency: Run your app the same way in every environment.

Isolation: Avoid dependency conflicts between projects.

Portability: Docker containers work on any system that supports Docker.

Scalability: Easily scale containerized apps using orchestration tools like Kubernetes.

Faster Development: Spin up and tear down environments quickly.

Basic Docker Concepts

Image: A snapshot of a container. Think of it like a blueprint.

Container: A running instance of an image.

Dockerfile: A text file with instructions to build an image.

Volume: A persistent data storage system for containers.

Docker Hub: A cloud-based registry for storing and sharing Docker images.

Example: Dockerizing a Simple Python App

Let’s say you have a Python app called app.py: # app.py print("Hello from Docker!")

Create a Dockerfile: # Dockerfile FROM python:3.10-slim COPY app.py . CMD ["python", "app.py"]

Then build and run your Docker container: docker build -t hello-docker . docker run hello-docker

This will print Hello from Docker! in your terminal.

Popular Use Cases

Running databases (MySQL, PostgreSQL, MongoDB)

Hosting development environments

CI/CD pipelines

Deploying microservices

Local testing for APIs and apps

Essential Docker Commands

docker build -t <name> . — Build an image from a Dockerfile

docker run <image> — Run a container from an image

docker ps — List running containers

docker stop <container_id> — Stop a running container

docker exec -it <container_id> bash — Access the container shell

Docker Compose

Docker Compose allows you to run multi-container apps easily. Define all your services in a single docker-compose.yml file and launch them with one command: version: '3' services: web: build: . ports: - "5000:5000" db: image: postgres

Start everything with:docker-compose up

Best Practices

Use lightweight base images (e.g., Alpine)

Keep your Dockerfiles clean and minimal

Ignore unnecessary files with .dockerignore

Use multi-stage builds for smaller images

Regularly clean up unused images and containers

Conclusion

Docker empowers developers to work smarter, not harder. It eliminates "it works on my machine" problems and simplifies the development lifecycle. Once you start using Docker, you'll wonder how you ever lived without it!

[wingedmiraclesublime]

蜘蛛池优化需要哪些脚本技术？TG@yuantou2048

在互联网时代，网站的搜索引擎优化（SEO）是提升网站流量和排名的重要手段。其中，蜘蛛池优化是一种常见的策略，它通过模拟搜索引擎爬虫的行为来提高网站的收录率和权重。要实现有效的蜘蛛池优化，掌握一定的脚本技术是非常关键的。本文将介绍几种常用的脚本技术，帮助你更好地进行蜘蛛池优化。

1. Python 脚本

Python 是一种广泛应用于网络爬虫开发的语言，其简洁易用的语法和强大的第三方库支持使得它成为构建蜘蛛池的理想选择。使用 Python 可以轻松编写高效的爬虫程序，同时还可以利用如 Scrapy、BeautifulSoup 等库来抓取网页内容，处理复杂的页��结构。

2. JavaScript 技术

JavaScript 不仅可以用于前端开发，还可以用于后端任务，比如 Node.js。Node.js 提供了异步 I/O 操作，非常适合用来构建高性能的爬虫系统。通过 JavaScript，你可以编写出能够动态加载和解析网页内容的爬虫，这对于处理 AJAX 加载的内容尤其有用。

3. PHP 脚本

PHP 是服务器端脚本语言，常用于动态生成 HTML 页面。对于一些需要与服务器交互的任务，PHP 能够提供良好的支持。例如，使用 PhantomJS 或 Puppeteer 这样的工具，可以模拟浏览器行为，获取动态加载的内容，这对于处理那些依赖于 JavaScript 渲染的网页非常有效。此外，PHP 也经常被用于 SEO 优化，特别是当需要处理动态内容时，它可以与 Selenium 结合使用，模拟用户行为，从而更准确地抓取数据。结合 Selenium，可以实现对 JavaScript 渲染的网页进行爬取，确保蜘蛛池能够抓取到完整的网页内容。

4. Shell 脚本

Shell 脚本在自动化任务中非常有用，如定时任务、文件操作等。通过编写 Shell 脚本，可以实现自动化的 URL 链接抓取和数据抓取任务。

5. SQL 数据库管理

虽然不是直接的爬虫脚本语言，但熟练掌握 SQL 数据库管理技能，可以帮助你更好地管理和存储爬取的数据。这包括数据清洗、存储以及定期更新数据库中的信息。

6. Bash 脚本

Bash 脚本通常用于自动化任务，如定时执行任务、监控系统状态等。对于需要频繁更新或维护的蜘蛛池来说，Shell 脚本可以用来调度爬虫任务，管理爬虫队列，以及自动化部署和管理爬虫任务。

7. 数据库管理

除了上述编程语言外，了解如何高效地存储和查询数据也是必不可少的。MySQL、MongoDB 等数据库管理系统可以帮助你高效地存储和检索数据，确保数据的实时性和准确性。

8. 其他相关技术

除了上述提到的技术外，还需要熟悉一些基本的 Linux 命令行工具，如 wget、curl 等，这些工具可以用来自动化执行命令行操作，如定时任务的调度和日志分析等。

总结

综上所述，蜘蛛池优化不仅需要掌握多种编程语言，还需要理解如何有效地组织和管理爬虫任务。合理运用这些技术，可以显著提高爬虫系统的性能和稳定性。总之，蜘蛛池优化是一个多方面综合应用的过程，涉及多个方面的知识和技术。希望这篇文章能为你提供一些基础指导。如果你有任何问题或需要进一步的帮助，请随时联系我 TG@yuantou2048 获取更多关于蜘蛛池优化的知识。

加飞机@yuantou2048

谷歌留痕

SEO优化

[codezup]

Mastering MongoDB实践: 实现日志管理系统

Introduction 日志管理系统是任何系统或应用程序都需要的。MongoDB是一种NoSQL数据库，特别适合用于大规模数据存储和管理。该实践介绍了如何使用MongoDB创建一个简单的日志管理系统。通过此实践，读者将学习如何使用MongoDB执行日志管理任务，包括创建、阅读、写入和检索日志记录。 读者需要 MongoDB数据库（本实践使用MongoDB Community Server 4.4或更高版本） 一个可授权的MongoDB 帐户 一台支持 MongoDB 运行的机器（包括任何必要的依赖） 技术前景 MongoDB Community Server 4.4 或更高版本 MongoDB Compass（可选） MongoDB Shell（可选） 实践背景 在本实践中，我们将学习如何使用MongoDB执行日志管理任务。日志管理系统通常包含以下功能： 创建日志记录:…

[jph0]

fullstack developer tools you should try

As a full-stack developer, you work across the front-end and back-end of web applications, so having the right tools is essential for productivity, efficiency, and quality. Here's a curated list of tools to enhance your workflow:

Code Editors & IDEs

Visual Studio Code: A lightweight, powerful code editor with a vast ecosystem of extensions.

Recommended Extensions: Prettier, ESLint, Live Server, GitLens.

JetBrains WebStorm/IntelliJ IDEA: Feature-rich IDEs for JavaScript and web development.

Sublime Text: Fast and efficient for lightweight coding tasks.

Version Control & Collaboration

Git: The industry standard for version control.

GitHub, GitLab, Bitbucket: Code hosting platforms with CI/CD integration.

GitKraken: A visual Git client for easier version control management.

Front-End Development Tools

React, Vue, or Angular: Popular JavaScript frameworks.

Tailwind CSS: A utility-first CSS framework for fast UI building.

Webpack or Vite: Bundlers for optimized asset management.

Figma: Design and prototyping tool for collaboration with designers.

Storybook: A UI component explorer for React, Vue, Angular, and more.

Back-End Development Tools

Node.js: A runtime environment for building server-side applications.

Express.js: Minimal and flexible Node.js web framework.

Django or Flask: Python frameworks for robust back-end systems.

Postman: API development, testing, and documentation tool.

Docker: For containerization and deployment of your applications.

Database Tools

PostgreSQL or MySQL: Relational databases for structured data.

MongoDB: NoSQL database for unstructured or semi-structured data.

Prisma: A modern ORM for working with databases in JavaScript and TypeScript.

Adminer: Lightweight database management tool.

DevOps & Deployment

AWS, Azure, or Google Cloud: Cloud platforms for hosting and scaling.

Heroku: Simple PaaS for small to medium projects.

Netlify or Vercel: Front-end-focused deployment platforms.

Jenkins or GitHub Actions: For CI/CD pipelines.

Testing Tools

Jest: A JavaScript testing framework for unit and integration tests.

Cypress: End-to-end testing for web applications.

Postman: For API testing.

Selenium: For browser automation and testing.

Productivity & Workflow

Notion: For documentation and project management.

Slack: Team collaboration and communication.

Trello or Asana: Project management tools for task tracking.

Zsh + Oh My Zsh: A powerful shell for an efficient command line experience.

Monitoring & Debugging

Sentry: Application error tracking.

Posthog: Open-source analytics platform.

Chrome DevTools: Built-in browser tools for debugging and performance analysis.

Fullstack course in chennai Fullstack developer course in chennai

[fromdevcom]

Want to learn MongoDB? You have come to the right place. We have compiled a huge list of all resources that can help beginners learn MongoDB online. MongoDB is a popular opensource NoSQL database. Its ability to store JSON document as the first-class citizen makes it preferred choice for many Node.js based web applications. MongoDB is very simple to use, at the same time it is a highly scalable database too. Its ability to horizontal scale has made it preferred choice for both small and big enterprises. Many jobs and career options are available for MongoDB engineers due to its high demand and widespread usage across a variety of applications. Below are some handy tutorials and resources that can get you kick-started on learning MongoDB. MongoDB: Best Beginners Tutorials and Resources Though all of the tutorials listed here are MongoDB only. As a beginner, I would recommend you to start with the following tutorials. These tutorials are simple and created with beginners focus. You can move to advanced tutorials once you feel comfortable doing simple things in MongoDB. MongoDB - YouTube MongoDB Tutorials | Learn MongoDB with Studio 3T MongoDB Tutorial for Beginners MongoDB Overview: Getting Started with MongoDB – BMC Blogs Cassandra vs MongoDB in 2018 What is MongoDB - Introduction to MongoDB Architecture & Features Building a Web-based To-Do App — MongoDB Stitch MongoDB Tutorial Getting Started with MongoDB - Part 1 Developing scalable PHP applications using MongoDB - PHP Classes MongoDB Related Websites and Blogs These MongoDB related blogs will help you stay up to date with the latest trends. Once you have learned MongoDB, these blogs can keep you informed about the latest developments in related technology and community. Official: MongoDB Tutorial Official: MongoDB Tutorials — MongoDB Manual Official : Learn MongoDB from MongoDB - MongoDB University Official: Blog | MongoDB MongoDB Subreddit MongoDB Articles - Server Density Blog MongoDB Archives - Big Data Analytics News MongoDB Tutorial Archives - TutorialsJar MongoDB Archives - Code, InfoSec and Server Stuff John Papa: MongoDB - Page 1 - John Papa MongoDB Courses by Envato Tuts+ MongoDB eBooks and PDF Tutorials Sometimes having an eBook or PDF version of a book can be a real benefit. I love to read stuff while commuting on a train or bus where connectivity can be troublesome at times. I prefer to download PDF in my smartphone to read it anywhere offline. TutorialsPoint MongoDB Tutorial in PDF The Little MongoDB Book NoSQL MongoDB MongoDB Tutorial MongoDB Notes For Professionals MongoDB Tutorial MongoDB Architecture Guide The Definitive Guide - MongoDB Lecture On MongoDB From New York University (Course CSCI-GA.2433-001) MongoDB in action MongoDB Reference Manual The Little MongoDB Book MongoDB White Papers | MongoDB Best Cheatsheets and Reference For MongoDB Cheatsheets can be used as a quick reference for commands and common syntax that is hard to memorize. As a software programmer, it is hard to remember all syntax. Cheatsheets are a good way to speed up your work during initial days and occasional use. MongoDB CheatSheet V1 mongo Shell Quick Reference — MongoDB Manual MongoDB Commands Cheat Sheet for Beginners - Reskilling IT MongoDB Cheat Sheets · GitHub MongoDB Commands Cheat Sheet For Beginners Cheat Sheet: MongoDB · GitHub Mongo DB Cheat Sheet | Red Hat Developer MongoDB Cheat Sheet by ovi_mihai - Download from Cheatography MongoDB Quick Reference mindcraft.: MongoDB Cheat Sheet (v2.4) aug2uag: MongoDB Operators Cheat Sheet MongoDB Commands Cheat Sheet for Beginners - DZone Database Performance Tuning Cheat Sheet MongoDB 10 Most Common Commands for MongoDB Beginners - DZone Database Looking For Help On MongoDB: Best Forums and Discussion Boards Getting help as a beginner can be tricky. You need to know where to get started and small issues can be very discouraging. These forums and discussion boards can get you some help and unblock your learning.

Google Groups Frequent 'mongodb' Questions - Stack Overflow MongoDB Forum at JavaRanch Google Groups mongodb - Databricks Community Forum Best MongoDb Video Tutorials Video tutorials are a really nice way to learn MongoDB. Since many of these are short video tutorials it can be easily done in breaks. MongoDB Beginners Tutorials - YouTube MongoDB Tutorial for Beginners - YouTube MongoDB Tutorial for Beginners - YouTube MongoDB Online Training - YouTube MongoDB for Beginners Tutorials - YouTube MongoDB Dev & Admin Tutorial Videos - YouTube MongoDB Tutorial for Beginners - YouTube MongoDB Tutorial For Beginners In Hindi - YouTube MongoDB tutorial by PremAseem - YouTube MongoDB - NoSQL Database | Tutorial - YouTube MongoDB PHP Tutorial - YouTube MongoDB tutorial - 2017 - YouTube MongoDB Tutorials - YouTube Introduction to Mongo DB Queries - YouTube MongoDB Tutorial for Beginners - YouTube MongoDB Tutorials for Beginners - YouTube Summary Learning MongoDB can be easy with so many resources, however, keep in mind to not get distracted. I recommend you to pick one of these resources and complete it. Also, try out a project using MongoDB to get the hands-on experience for faster learning. Hope you find this list useful. If you have a resource to share please mention it in comments and I will update it. Happy learning.

[nksistemas]

¿Cómo instalar mongosh en Debian12?

MongoDB Shell (mongosh) es una herramienta interactiva que te permite conectarte a tu base de datos MongoDB y ejecutar consultas y comandos directamente desde la línea de comandos. En este artículo, te guiaremos a través de los pasos necesarios para instalar mongosh en Debian 12. Prerrequisitos Antes de comenzar, asegúrate de tener acceso a una cuenta de usuario con privilegios sudo y de tener…

[srishticampusposts]

LEARN MERN STACK? HERE IS EVERYTHING YOU NEED TO KNOW : June 19, 2024

Stack of technology provides MERN stack. It is a set of technologies used to develop an application, including programming languages, frameworks, databases, front-end and back-end tools, and APIs. In the MERN Stack, the working components are MongoDB, ExpressJS, ReactJS, and NodeJS. 

Learn MERN Stack 

Here are the details of the roles each component fulfills when developing a web application with the MERN stack : 

MongoDB:

MongoDB is a NoSQL database that stores data as a document, comprising key-value pairs similar to JSON (JavaScript Object Notation) objects. MongoDB is flexible, letting users make schemas, databases, tables, and more. In MongoDB, special credentials identified by a primary key form its basic unit. After installing MongoDB, users can utilize the Mongo shell, which provides a JavaScript interface for interacting with the database, such as querying, updating, and deleting records.

Express.JS

Express is a framework used for making the back-end of web applications with Node.js. It makes coding easier compared to using Node.js alone by providing shortcuts and tools. With this framework, developers can create better web applications and APIs. It also offers many add-ons, called middleware, to make coding quicker and simpler. Instead of writing all the server code from scratch with Node.js, developers use Express to speed up the process. It is known for being fast and organized, and it offers lots of extra features through plugins.

ReactJS

React is a JavaScript library that is used for building user interfaces. React is used for the development of single-page web applications, complex software applications, and mobile applications. React can switch rapidly changing data. React allows the client to code in JavaScript and create UI components. React is an open-source JavaScript library that can be used for creating views rendered in HTML. Unlike AngularJS, React is not a framework but a library.

Node.js

Node.js, in the beginning developed for Google Chrome and made open-source by Google in 2008, is a JavaScript runtime environment. It is designed for building scalable network applications and can run JavaScript code outside of a web browser. With Node.js, users can execute their code on servers without a browser. It comes with a node package manager, offering thousands of free packages (node modules) for download. Node.js works without an enclosing HTML page. Here, uses its module system, based on CommonJS, to combine multiple JavaScript files seamlessly.

Advantages of a MERN Stack Developer  

One of the main advantages of the MERN stack is that developers use only JavaScript throughout the entire development process. JavaScript is a versatile programming language used for both client-side and server-side tasks. In contrast, when working with another full-stack setup that involves multiple programming languages, developers often face challenges in integrating them seamlessly. However, stack developers only need to be proficient in JavaScript and JSON.

The MERN Stack ecosystem is always a growing platform that receives regular updates with new tools and technologies, which are focused at improving the development processes. So, the demand never goes down. If you are interested in learning more about MERN Stack, be sure to check out the best MERN Stack training in India. Currently, the Srishti campus is the best training center in Kerala. There are a lot of online MERN Stack training centers available in Kerala. 

[govindhtech]

Google Regional Persistent Disk: VMs Multi-Zone Storage

Google Regional Persistent Disk

Are you seeking for a natively Google Compute Engine solution that offers 0% RPO, is production-ready, and provides high availability for your mission-critical workloads? You only need to look at Google Regional Persistent Disk. This blog post from Google Cloud explores how you can provide resilience, ease of management, and continuous protection for your most critical and demanding applications by utilizing Regional PD’s cross-zone synchronous replication capabilities.

Regional Persistent Disks Regional PD: A mission well suited for it-important tasks Workloads that are crucial to the daily operations of every modern firm are mission-critical. These are the systems that the company needs to function, thus any interruption to their workloads could have a big effect on the company.

Because of this, companies require highly available infrastructure, which includes highly available storage capable of:

Replicate data seamlessly while maximising performance for certain kinds of tasks. Be extremely robust against a variety of problems that could impact availability. Be really easy to assemble and operate For many of the mission-critical high availability storage requirements of Google Cloud customers, Regional PD is a strong fit and meets all of these criteria.

Incredibly effective for your workloads that are mission-critical Google Cloud customers use Regional PD for MySQL, Postgres, SQL Server, Jupyterlab, Kafka, Druid, Redis, Solr, EventStoreDB, Elasticsearch, MongoDB, and other workloads due to its write and read performance of 1000MB/s and 80K IOPS per volume, respectively.

Extremely reliable and resilient to failure With regional PD, synchronous replication between zones is continuous and has an RPO of zero in the event that one zone goes down. Regional PD prioritizes availability and automatically reroutes I/O to the last available storage replica in the event of a zonal outage. Regional PD self-heals and brings the unavailable replica back online to continue RPO=0 replication later, once the unavailable zone has recovered. To ensure workload availability, a virtual machine (VM) can be tied to the regional PD if it needs to be recovered in the second zone.

For your mission-critical applications, full replication means that all the data required to maintain the high availability of your compute instance is replicated. This includes not just data disc replication but also boot disc replication for virtual machine instances. When Virtual Machines (VMs) employ Regional PD as its boot disc, users are shielded against potential storage problems that could prevent the VM from booting and from data loss from VMs that rely on the boot disc for data, such as Windows VMs.

Easy to set up and maintain Configuring Regional PD for mission-critical workloads is really simple. It only takes a few minutes to add a new Regional PD disc whether starting a new virtual machine or updating an existing one. Using the Google Cloud console, gcloud, Terraform, and REST APIs, you can add Regional PDs. Once configured, your workload can start serving reads and writes to the Google Regional Persistent Disk in the same way as it would with any other block storage, with the exception that all writes will automatically use synchronization replication to replicate to another replica on a secondary zone.

High Availability Regional PD in Google Cloud services with high availability A number of Google Cloud services, including as GKE Stateful High Availability (HA) Controller, Cloud SQL HA configuration, and Cloud Shell, leverage Regional PD in addition to Compute Engine workload deployments.

The completely managed database service offered by Google Cloud for MySQL, PostgreSQL, and SQL Server is called Google Cloud SQL. When enabled, as soon as a Cloud SQL database instance is created, the configuration immediately configures it to use Regional PD as the primary storage and replicates writes to a secondary zone. When necessary, failover is a straightforward one-step command that switches all networking, compute, and client applications to the secondary zone’s alternate instance.

The terminal window on Google Cloud called Cloud Shell gives you command line access to virtual machines (VMs) in your projects. Users get 5GB of Regional PD disk storage for their terminal’s home directory with each Cloud Shell terminal session. In the event that there are issues with the zone housing the home directory storage, this helps guarantee that the home directory is highly available. The Cloud Shell service automatically uses the extra Regional PD replica in the event of a zonal issue, ensuring uninterrupted access to home directory data.

Final reflections This blog post from Google Cloud explains how Google Regional Persistent Disk was designed with the goal of maximizing availability for your mission-critical workloads in Google Cloud while also delivering ease in management, performance, and resilience. Furthermore, Google Cloud talked about how users have implemented Regional PD in expansive production settings and how it offers storage availability across a number of core Google Cloud services.

Concerning the local persistent disk You can use Compute Engine’s Regional Persistent Disk storage option to create high availability (HA) services. Google Regional Persistent Disk provides high availability (HA) for disk data for up to one zonal failure by synchronously replicating data between two zones within the same region.

Workloads with a reduced Recovery Point Objective (RPO) and Recovery Time Objective (RTO) are intended for use with Regional Persistent Disk volumes.

Replication of zones on discs for local persistent discs Regional Persistent Disk volumes hold disc data in primary and secondary zones. For disc attachment, the primary zone is the same as the VM instance. A secondary zone is a different area inside the same region of your choice. In each of these zones, Compute Engine keeps copies of your local persistent disk volume. To guarantee HA, Compute Engine synchronously duplicates data you write to your disc to the disc replicas in both zones. To ensure longevity, the data of each zonal replica is distributed among several physical machines in the zone. Zone replicas guard against brief disruptions in one of the disk zones and guarantee that the Persistent Disk volume’s data is always accessible.

Read more on Govindhtech.com

[wingedmiraclesublime]

蜘蛛池搭建需要哪些MongoDB技术？

在构建蜘蛛池（Spider Pool）时，MongoDB 作为一款高性能、易扩展的 NoSQL 数据库，常常被用于存储和管理爬虫抓取的数据。那么，在搭建蜘蛛池的过程中，我们需要掌握哪些 MongoDB 技术呢？本文将为你详细解析。

1. 基础操作

首先，你需要熟悉 MongoDB 的基本操作，包括创建数据库、集合，以及插入、查询、更新和删除数据等。这些基础操作是进行任何数据处理的前提。

创建数据库与集合

```shell

use mydatabase

db.createCollection("mycollection")

```

插入数据

```javascript

db.mycollection.insert({name: "John", age: 30})

```

查询数据

```javascript

db.mycollection.find()

```

2. 索引优化

为了提高数据检索效率，索引是必不可少的。在蜘蛛池中，你可能需要对某些字段频繁查询，因此为这些字段创建索引可以显著提升性能。

```javascript

db.mycollection.createIndex({field: 1})

```

3. 分片与副本集

随着数据量的增长，单个 MongoDB 实例可能无法满足需求。这时，分片和副本集技术就显得尤为重要。分片可以水平扩展数据，而副本集则提供了高可用性和容灾能力。

配置分片

```shell

sh.enableSharding("mydatabase")

sh.shardCollection("mydatabase.mycollection", {field: 1})

```

创建副本集

```shell

rs.initiate()

```

4. 数据备份与恢复

确保数据安全是每个系统的重要任务。定期备份数据，并且能够快速恢复，对于防止数据丢失至关重要。

```shell

mongodump --out /backup

mongorestore --drop /backup/mydatabase

```

5. 性能监控与调优

最后，持续监控 MongoDB 的性能，并根据监控结果进行调优，可以保证系统的稳定运行。使用 MongoDB 自带的监控工具或第三方工具可以帮助你更好地了解数据库的状态。

监控命令

```shell

db.serverStatus()

```

通过以上几个方面的学习和实践，你可以更好地利用 MongoDB 来支持你的蜘蛛池项目。希望这篇文章对你有所帮助！

讨论点： 在你的实际项目中，你遇到过哪些 MongoDB 使用上的挑战？又是如何解决的呢？欢迎在评论区分享你的经验！

加飞机@yuantou2048

EPS Machine

負面刪除

[exhydra]

Creating Collections And Inserting Data In MongoDB

exhydra@exhydra-VirtualBox:~$ mongo MongoDB shell version v4.4.18 connecting to: mongodb://127.0.0.1:27017/?compressors=disabled&gssapiServiceName=mongodb Implicit session: session { "id" : UUID("e9c79944-aa26-4224-9e85-8decd51346ba") } MongoDB server version: 4.4.18 --- The server generated these startup warnings when booting: 2024-02-16T10:52:32.882+05:30: Using the XFS filesystem is strongly…

[marsdevs]

Essential Python Tools Every Developer Needs

Today, we'll look at some of the most popular Python tools developers, coders & data scientists use worldwide. If you know how to use these Python tools correctly, they can be useful for various tasks.

Pandas: Used for Data Analysis Scipy: Algorithms to use with numpy PyMySQL: MYSQL connector HDFS: C/C++ wrapper for Hadoop connector Airflow: Data Engineering tool PyBrain: Algorithms for ML Matplotlib: Data visualization tool Python: Powerful shell Redis: Redis'access libraries Dask: Data Enginnering tool Jupyter: Research collabaration tool SQLAIchemy: Python SQL Toolkit Seaborn: Data Visuailzation tool Elasticsearch: Data Search Engine Numpy: Multidimensional arrays Pymongo: MongoDB driver Bookeh: Data Visualization tool Luigi: Data engineering tool Pattern: Natural language Keras: Hingh-lavel neural network API SymPy: Symbolic math

Visit our website for more information: https://www.marsdevs.com/python

[cognitiveprogrammer]

Introduction to MongoDB - JSON, mongodb shell, compass and Atlas

Welcome to the MongoDB Video Series. This is the first video of the MongoDB series and in this video I'll introduce you to MongoDB ecosystem which includes 1. JavaScript Object Notation (JSON) 2. MongoDB database, Collections and Documents 3. MongoDB Compass 4. MongoDB JS shell 5. MongoDB Atlas We'll not only understand these but will also create, modify and delete documents via MongoDB JS shell as well as via MongoDB compass #Mongodb #NoSQL #javascript #nodejs #js #mongodb compass #mongodbatlaa #mongoshell #node

[techdog]

Install MongoDB Command Shell on Linux Mint

10.27.2017 I wanted to install just the MongoDB CLI Command Shell and utilities on my Linux Mint machine, but not the entire database server. Following the steps here: https://docs.mongodb.com/manual/tutorial/install-mongodb-on-ubuntu/

$ sudo apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv 0C49F3730359A14518585931BC711F9BA15703C6 $ echo "deb [ arch=amd64,arm64 ] http://repo.mongodb.org/apt/ubuntu xenial/mongodb-org/3.4 multiverse" | sudo tee /etc/apt/sources.list.d/mongodb-org-3.4.list $ sudo apt-get update $ sudo apt-get install mongodb-org-shell $ sudo apt-get install mongodb-org-tools