#aws ec2 mongodb

[ziguin]

모듈 5

AWS 스토리지 및 데이터베이스 서비스 요약

AWS는 다양한 유형의 스토리지 및 데이터베이스 서비스를 제공하여 애플리케이션의 특정 요구 사항을 충족하도록 돕습니다.

1. 블록 스토리지

인스턴스 스토어 (Instance Store)

Amazon EC2 인스턴스에 임시 블록 수준 스토리지를 제공합니다.

EC2 인스턴스의 호스트 컴퓨터에 물리적으로 연결되��� 인스턴스와 수명이 동일합니다.

인스턴스가 종료되면 데이터가 손실됩니다.

Amazon Elastic Block Store (Amazon EBS)

Amazon EC2 인스턴스에서 사용할 수 있는 영구적인 블록 수준 스토리지 볼륨을 제공합니다.

EC2 인스턴스가 중지 또는 종료되더라도 데이터를 보존합니다.

EBS 스냅샷을 생성하여 볼륨의 증분 백업을 수행할 수 있습니다. 증분 백업은 최초 백업 시 모든 데이터를 복사하고, 이후에는 변경된 데이터 블록만 저장합니다.

EBS 볼륨은 단일 가용 영역에 데이터를 저장하며, EC2 인스턴스와 동일한 가용 영역에 있어야 연결할 수 있습니다.

2. 객체 스토리지

객체 스토리지 개념

각 객체는 **데이터(파일), 메타데이터(정보), 키(고유 식별자)**로 구성됩니다.

Amazon Simple Storage Service (Amazon S3)

객체 수준 스토리지를 제공하는 서비스입니다.

데이터를 **버킷(Bucket)**에 객체로 저장합니다.

무제한의 저장 공간을 제공하며, 최대 객체 크기는 5TB입니다.

파일 업로드 시 권한을 설정하여 가시성 및 액세스를 제어할 수 있습니다.

버전 관리 기능을 통해 객체 변경 사항을 추적할 수 있습니다.

다양한 스토리지 클래스를 제공하며, 데이터 검색 빈도 및 가용성 요구 사항에 따라 선택합니다.

S3 Standard: 자주 액세스하는 데이터용. 최소 3개의 가용 영역에 저장되며 고가용성을 제공.

S3 Standard-Infrequent Access (S3 Standard-IA): 자주 액세스하지 않지만 고가용성이 필요한 데이터용. S3 Standard와 유사하지만 스토리지 비용이 저렴하고 검색 비용이 높음.

S3 One Zone-Infrequent Access (S3 One Zone-IA): 단일 가용 영역에 데이터를 저장. 스토리지 비용이 가장 저렴하지만, 가용 영역 장애 시 데이터가 손실될 수 있으므로 쉽게 재현 가능한 데이터에 적합.

S3 Intelligent-Tiering: 액세스 패턴을 알 수 없거나 자주 변하는 데이터용. 액세스 패턴을 모니터링하여 자주 액세스하지 않으면 자동으로 S3 Standard-IA로 이동시키고, 다시 액세스하면 S3 Standard로 이동.

S3 Glacier Instant Retrieval: 즉각적인 액세스가 필요한 아카이브 데이터용. 몇 밀리초 만에 객체 검색 가능.

S3 Glacier Flexible Retrieval: 데이터 보관용 저비용 스토리지. 몇 분에서 몇 시간 이내에 객체 검색.

S3 Glacier Deep Archive: 가장 저렴한 객체 스토리지 클래스로 장기 보관에 적합. 12시간 이내에 객체 검색. 3개 이상의 지리적으로 분산된 가용 영역에 복제.

S3 Outposts: 온프레미스 AWS Outposts 환경에 객체 스토리지를 제공. 데이터 근접성 및 로컬 데이터 레지던시 요구 사항이 있는 워크로드에 적합.

3. 파일 스토리지

파일 스토리지 개념

여러 클라이언트(사용자, 애플리케이션, 서버 등)가 공유 파일 폴더에 저장된 데이터에 액세스할 수 있습니다.

블록 스토리지를 로컬 파일 시스템과 함께 사용하여 파일을 구성하며, 클라이언트는 파일 경로를 통해 데이터에 액세스합니다.

많은 수의 서비스 및 리소스가 동시에 동일한 데이터에 액세스해야 하는 사용 사례에 이상적입니다.

Amazon Elastic File System (Amazon EFS)

AWS 클라우드 서비스 및 온프레미스 리소스와 함께 사용되는 확장 가능한 파일 시스템입니다.

파일 추가/제거 시 자동으로 확장 또는 축소됩니다.

리전별 서비스로, 여러 가용 영역에 걸쳐 데이터를 저장하여 고가용성을 제공합니다.

온프레미스 서버에서도 AWS Direct Connect를 통해 액세스할 수 있습니다.

4. 관계형 데이터베이스

관계형 데이터베이스 개념

데이터가 서로 관련된 방식으로 저장됩니다.

정형 쿼리 언어(SQL)를 사용하여 데이터를 저장하고 쿼리합니다.

데이터를 쉽게 이해할 수 있고 일관되며 확장 가능한 방식으로 저장합니다.

Amazon Relational Database Service (Amazon RDS)

AWS 클라우드에서 관계형 데이터베이스를 실행할 수 있는 관리형 서비스입니다.

하드웨어 프로비저닝, 데이터베이스 설정, 패치 적용, 백업 등 관리 작업을 자동화합니다.

대부분의 데이터베이스 엔진이 저장 시 암호화 및 전송 중 암호화를 제공합니다.

지원 데이터베이스 엔진: Amazon Aurora, PostgreSQL, MySQL, MariaDB, Oracle Database, Microsoft SQL Server.

Amazon Aurora: 엔터프라이즈급 관계형 데이터베이스로, MySQL 및 PostgreSQL과 호환되며 표준 데이터베이스보다 최대 5배/3배 빠릅니다. 6개의 데이터 복사본을 3개의 가용 영역에 복제하고 Amazon S3에 지속적으로 백업하여 고가용성을 제공합니다.

5. 비관계형 (NoSQL) 데이터베이스

비관계형 데이터베이스 개념

행과 열이 아닌 다른 구조를 사용하여 데이터를 구성합니다. (예: 키-값 페어)

테이블의 항목에서 속성을 자유롭게 추가/제거할 수 있으며, 모든 항목에 동일한 속성이 있어야 하는 것은 아닙니다.

Amazon DynamoDB

키-값 데이터베이스 서비스입니다.

모든 규모에서 한 자릿수 밀리초의 성능을 제공합니다.

서버리스이므로 서버 프로비저닝, 패치 적용, 관리 등이 필요 없습니다.

자동 크기 조정 기능을 통해 용량 변화에 맞춰 자동으로 크기를 조정하며 일관된 성능을 유지합니다.

6. 데이터 웨어하우징 및 마이그레이션

Amazon Redshift

빅 데이터 분석에 사용되는 데이터 웨어하우징 서비스입니다.

여러 원본에서 데이터를 수집하여 관계 및 추세 파악을 돕는 기능을 제공합니다.

AWS Database Migration Service (AWS DMS)

관계형 데이터베이스, 비관계형 데이터베이스 및 기타 데이터 저장소를 마이그레이션할 수 있는 서비스입니다.

원본과 대상 데이터베이스 유형이 달라도 마이그레이션이 가능하며, 마이그레이션 중 원본 데이터베이스의 가동 중지 시간을 줄일 수 있습니다.

주요 사용 사례: 개발/테스트 데이터베이스 마이그레이션, 데이터베이스 통합, 연속 복제.

7. 추가 데이터베이스 서비스

Amazon DocumentDB: MongoDB 워크로드를 지원하는 문서 데이터베이스 서비스.

Amazon Neptune: 그래프 데이터베이스 서비스. 추천 엔진, 사기 탐지, 지식 그래프 등 고도로 연결된 데이터 세트로 작동하는 애플리케이션에 적합.

Amazon Quantum Ledger Database (Amazon QLDB): 원장 데이터베이스 서비스. 애플리케이션 데이터의 모든 변경 사항에 대한 전체 기록을 검토 가능.

Amazon Managed Blockchain: 오픈 소스 프레임워크를 사용하여 블록체인 네트워크를 생성하고 관리.

Amazon ElastiCache: 데이터베이스 위에 캐싱 계층을 추가하여 자주 사용되는 요청의 읽기 시간을 향상. Redis 및 Memcached 지원.

Amazon DynamoDB Accelerator (DAX): DynamoDB용 인 메모리 캐시. 응답 시간을 밀리초에서 마이크로초까지 향상.

[codingbrushup]

How Coding Brushup Prepares You for Real-World Coding Challenges

In today’s competitive tech industry, mastering theoretical concepts is no longer enough. Employers now expect developers to possess hands-on experience, problem-solving skills, and the ability to build real-world applications from scratch. This is where Coding Brushup stands out. Through its extensive course offerings, including Coding Brushup Programming Courses, Coding Brushup Full Stack Developer Training, and specialized paths like Coding Brushup Java Courses and Coding Brushup Data Science Courses, it equips learners with industry-relevant skills to tackle modern development challenges.

Real-World Learning with Coding Brushup Courses

The core philosophy behind Coding Brushup Courses is practical learning. While traditional education often emphasizes theory, Coding Brushup bridges the gap between academia and the tech industry by providing learners with project-based training, real coding scenarios, and interview-level problem-solving exercises.

Whether you're taking Coding Brushup Web Development Courses or exploring Coding Brushup Cloud Computing Courses, the focus remains consistent: prepare you not only to write code but to solve problems like a��professional developer.

1. Hands-On Training for In-Demand Skills

From day one, Coding Brushup Programming Courses encourage students to build real applications. By working on mini-projects and capstone challenges, learners don’t just understand syntax—they learn how to apply logic, structure programs, and debug like a pro. Courses are updated regularly to align with the current job market, ensuring learners are not left behind with outdated knowledge.

For example, in Coding Brushup Python Courses, students go beyond loops and functions to implement automation scripts, data manipulation tasks, and backend APIs. The Coding Brushup React Courses offer an immersive experience in front-end development, where students build responsive, scalable web apps using modern JavaScript frameworks.

2. Comprehensive Full Stack Training

A standout feature is the Coding Brushup Full Stack Developer Training. This program integrates front-end, back-end, and database development to give learners a 360-degree view of software engineering. Learners build applications using technologies like React, Node.js, Spring Boot, MongoDB, and more—exactly what today’s employers seek in a developer.

Students start with foundational skills in HTML, CSS, and JavaScript, gradually advancing to more complex tasks like setting up APIs with Spring Boot (covered in Coding Brushup Spring Boot Courses) and deploying projects on cloud platforms (highlighted in Coding Brushup Cloud Computing Courses).

3. Project-Based Learning that Mimics the Workplace

Real-world coding challenges don’t come with detailed instructions. Coding Brushup Courses teach students how to handle ambiguity, understand client requirements, and implement scalable solutions—skills that are essential for software engineering roles.

Every track, from Coding Brushup Java Courses to Coding Brushup Data Science Courses, integrates hands-on projects. These projects simulate actual workplace problems, such as building RESTful APIs, designing user dashboards, integrating third-party APIs, and deploying solutions to the cloud.

4. Industry-Relevant Curriculum and Tools

To ensure that students are ready for their first or next job, Coding Brushup incorporates tools and technologies widely used in the tech industry. You’ll work with Git, GitHub, Docker, AWS, and real development environments. For instance, Coding Brushup Web Development Courses integrate version control systems, testing frameworks, and CI/CD practices to simulate professional workflows.

In Coding Brushup Cloud Computing Courses, learners gain experience with services like AWS EC2, S3, and Lambda, empowering them to build and deploy applications at scale. Meanwhile, Coding Brushup Java Courses focus on scalable enterprise application development with Spring Boot and Hibernate.

5. Supportive Learning Ecosystem

Beyond technical content, Coding Brushup Courses offer mentorship, community support, and career guidance. This human-centric approach ensures learners don’t feel lost, especially when tackling complex topics like data structures, algorithms, and system design.

In the Coding Brushup Python Courses, for example, regular code reviews and expert feedback help students continuously improve their code quality. The Coding Brushup React Courses come with discussion forums and weekly live sessions to clarify concepts and share solutions.

6. Interview Preparation and Job Readiness

Cracking tech interviews is another real-world challenge that many developers face. With its structured approach to interview preparation, Coding Brushup gives you an edge. Dedicated modules on DSA (Data Structures & Algorithms), mock interviews, and resume-building are part of many course tracks.

For instance, the Coding Brushup Full Stack Developer Training includes coding challenges that mirror actual technical interviews. Learners tackle problems in Java, Python, and JavaScript—reinforcing their understanding across different stacks.

7. Specialized Tracks to Suit Every Learner

One of the biggest advantages of Coding Brushup is the variety of specialized programs it offers. These tracks allow learners to focus on specific domains:

●     Coding Brushup Java Courses for strong backend foundations.

●     Coding Brushup Python Courses for data scripting, web backends, and ML basics.

●     Coding Brushup React Courses for frontend developers.

●     Coding Brushup Spring Boot Courses for enterprise backend systems.

●     Coding Brushup Web Development Courses for full website creation and design.

●     Coding Brushup Cloud Computing Courses for deployment and DevOps practices.

●     Coding Brushup Data Science Courses for data analytics and predictive modeling.

Each of these tracks offers hands-on projects, industry-standard tools, and skill-based learning, making you a job-ready developer.

Conclusion: Learn to Code Like You Work in Tech

If you're serious about transitioning into tech or leveling up your current skills, Coding Brushup is the right platform. With courses built around real-world projects, expert instruction, and industry alignment, it prepares you for the challenges that modern developers face.

From Coding Brushup Programming Courses to advanced topics in Coding Brushup Data Science Courses and Cloud Computing, the platform delivers a holistic learning experience. Whether you want to specialize through Coding Brushup Java Courses, React Courses, or the all-encompassing Full Stack Developer Training, you’ll be learning with purpose and preparing to code like a professional.

Start your journey today with Coding Brushup Courses and become the developer the industry is looking for.

[tenselycloudyectoplasm]

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。这些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。虽然免费云服务器在性能和资源上有一定限制，但对于预算有限的用户来说，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

对于初学者或预算有限的用户来说，免费云服务器提供了零成本接触云计算的机会。用户无需投入资金即可体验云服务的基本功能，如虚拟机的创建、网络配置和应用部署。

2. 适合学习和测试

开发者可以利用免费云服务器搭建开发环境、测试代码或运行小型应用。例如，学生可以部署个人博客、搭建数据库或进行编程练习，而无需担心高昂的服务器费用。

3. 灵活的资源配置

虽然免费方案通常限制CPU、内存和存储空间，但用户仍可根据需求选择合适的配置。部分云服务商还提供短期免费试用，让用户体验更高性能的服务器。

4. 无需长期承诺

大多数免费云服务器无需签订长期合同，用户可以根据需求随时调整或停止使用。这种灵活性使得免费云服务器成为短期项目的理想选择。

主流免费云服务器提供商

1. Amazon Web Services (AWS) Free Tier

AWS提供12个月的免费套餐，包括750小时的EC2（弹性云服务器）使用时间，适合个人和小型企业入门云计算。

2. Google Cloud Platform (GCP) 免费试用

GCP为新用户提供300美元的免费信用额度，可用于计算引擎、存储和网络服务，有效期为90天。

3. Microsoft Azure 免费账户

Azure提供12个月的免费服务，包括750小时的Linux或Windows虚拟机，以及5GB的存储空间。

4. Oracle Cloud 免费套餐

Oracle Cloud提供永久免费的云服务器方案，包括2台AMD虚拟机（1/8 OCPU和1GB内存）以及10GB的存储空间。

5. Alibaba Cloud 免费试用

阿里云为新用户提供1个月的免费ECS（弹性计算服务）试用，适合国内用户快速体验云计算。

如何选择适合的免费云服务器？

1. 明确需求

如果只是短期测试，可以选择AWS、GCP或Azure的免费试用方案。

如果需要长期免费资源，Oracle Cloud或Heroku的免费方案更合适。

2. 关注资源限制

检查CPU、内存、存储和带宽的限制，确保能满足项目需求。

部分免费服务器仅适用于特定操作系统（如仅Linux或Windows）。

3. 考虑地理位置

如果目标用户在国内，选择阿里云或腾讯云的免费试用可能访问速度更快。而国际项目可以选择AWS或Google Cloud。

4. 注意隐藏费用

部分云服务商在免费套餐之外可能收取额外费用（如流量超额费），务必仔细阅读条款。

免费云服务器的常见用途

1. 搭建个人博客或网站

使用WordPress、Ghost或静态网站生成器（如Hugo）在免费云服务器上部署个人博客。

2. 开发测试环境

开发者可以搭建MySQL、MongoDB或Redis数据库，进行应用测试和调试。

3. 运行自动化脚本

利用免费云服务器运行Python爬虫、定时任务或数据处理脚本。

4. 学习Linux和DevOps

通过SSH连接免费云服务器，练习Linux命令、Docker容器化或Kubernetes集群管理。

免费云服务器的局限性

1. 性能较低

免费方案通常仅提供1核CPU和1GB内存，不适合高负载应用。

2. 资源有限

存储空间和网络带宽受限，长时间运行可能导致服务中断。

3. 可能需绑定信用卡

部分云服务商（如AWS、GCP）要求绑定信用卡以验证身份，存在意外扣费风险。

4. 不适用于商业项目

免费云服务器通常禁止商业用途，仅限个人学习和测试。

如何最大化利用免费云服务器？

1. 优化资源使用

使用轻量级应用（如SQLite代替MySQL）。

关闭不必要的后台服务以节省内存。

2. 定期备份数据

免费云服务器可能随时终止服务，建议定期备份重要数据到本地或其他云存储。

3. 结合免费CDN加速

利用Cloudflare等免费CDN提升网站访问速度，减少服务器负载。

4. 监控资源使用情况

使用云服务商提供的监控工具（如AWS CloudWatch）查看CPU、内存和流量消耗，避免超额。

结论

免费云服务器是入门云计算、测试项目和学习技术的绝佳选择。虽然存在性能和资源限制，但通过合理规划和优化，用户仍能充分利用这些免费资源完成各种任务。无论是搭建个人网站、运行开发环境，还是练习DevOps��能，免费云服务器都能提供低成本的学习平台。

在选择免费云服务器时，建议根据自身需求、服务商政策和地理位置进行权衡，以确保最佳体验。随着技术的进步，未来可能会有更多云厂商推出更灵活的免费方案，值得持续关注。

[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务稳定性。

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！

[lucideternitysarcophagus]

免费云服务器：全面指南与最佳选择

在当今数字化时代，免费云服务器成为许多开发者、初创企业和个人用户的首选。无论是用于学习、测试还是小型项目部署，免费云服务器都能提供强大的计算资源，而无需支付高昂的费用。本文将详细介绍免费云服务器的优势、使用场景、推荐平台以及如何最大化利用这些资源。

1. 什么是免费云服务器？

免费云服务器指的是云计算服务商提供的无需付费即可使用的虚拟服务器资源。这些服务器通常具备基础的CPU、内存和存储配置，适合轻量级应用、开发和测试环境。与付费云服务器相比，免费云服务器可能会有一定的限制，例如使用时长、性能或功能上的限制，但对于初学者和小型项目来说已经足够。

免费云服务器的特点

零成本：无需支付费用即可使用。

基础配置：通常提供1-2核CPU、1-2GB内存和少量存储空间。

有限时长：部分服务商仅提供短期免费试用（如1个月或12个月），而有些则长期免费（如AWS Free Tier）。

适合轻量级应用：适用于个人博客、测试环境、学习编程等场景。

2. 免费云服务器的优势

（1）降低学习与开发成本

对于学生和开发者来说，免费云服务器是学习云计算、部署应用的最佳选择。无需购买实体服务器或支付高昂的云服务费用，即可体验云端计算能力。

（2）灵活性与可扩展性

大多数云服务商允许用户在免费套餐的基础上升级配置，这意味着当项目需求增长时，可以无缝切换到付费计划，而无需迁移数据。

（3）全球部署能力

许多云服务提供商（如AWS、Google Cloud、Azure）在全球拥有数据中心，用户可以选择就近的服务器部署应用，提高访问速度。

（4）支持多种操作系统

免费云服务器通常支持Linux（如Ubuntu、CentOS）和Windows Server，用户可以根据需求选择合适的系统环境。

3. 最佳免费云服务器推荐

以下是目前市场上最受欢迎的免费云服务器提供商：

（1）AWS Free Tier（亚马逊云科技）

免费时长：12个月（部分服务永久免费）。

配置：1核CPU、1GB内存、30GB存储（EC2）。

优势：全球覆盖广，适合企业级应用测试。

适用场景：Web应用、数据库、机器学习实验。

（2）Google Cloud Free Tier（谷歌云）

免费时长：90天试用（300美元免费额度）。

配置：1核CPU、0.6GB内存（f1-micro实例）。

优势：强大的AI和大数据分析工具。

适用场景：数据分析、容器化应用（Kubernetes）。

（3）Microsoft Azure Free Tier（微软云）

免费时长：12个月（部分服务永久免费）。

配置：1核CPU、1GB内存（Linux/Windows VM）。

优势：与微软生态（如Office 365、SQL Server）深度集成。

适用场景：企业级应用、.NET开发。

（4）Oracle Cloud Free Tier（甲骨文云）

免费时长：永久免费（部分资源）。

配置：2核CPU、1GB内存（ARM实例可选）。

优势：高性能计算，适合数据库应用。

适用场景：Oracle数据库、Java应用。

（5）Heroku Free Tier

免费时长：永久免费（有休眠限制）。

配置：512MB内存、免费PostgreSQL数据库。

优势：简单易用，支持一键部署。

适用场景：小型Web应用、API服务。

4. 如何最大化利用免费云服务器？

（1）选择合适的服务商

根据需求选择最适合的免费云服务器，例如：

学习Linux/DevOps：AWS EC2或Google Cloud。

部署小型网站：Heroku或Oracle Cloud。

数据库应用：Oracle Cloud或Azure。

（2）优化资源使用

使用轻量级系统：如Alpine Linux减少资源占用。

启用自动休眠：避免因闲置导致服务停止（如Heroku）。

监控使用量：防止超出免费额度（如AWS Free Tier）。

（3）备份重要数据

免费云服务器可能随时调整政策，建议定期备份数据到本地或其他云存储（如Google Drive、Dropbox）。

（4）结合其他免费服务

CDN加速：Cloudflare免费版。

域名与SSL：Freenom提供免费域名，Let’s Encrypt提供免费SSL证书。

数据库：MongoDB Atlas免费层、Firebase实时数据库。

5. 免费云服务器的局限性

尽管免费云服务器极具吸引力，但也存在一些限制：

性能较低：不适合高流量网站或复杂计算任务。

时间限制：部分服务仅提供短期试用。

功能受限：某些高级功能（如GPU加速）需付费。

数据安全风险：免费服务可能不提供企业级数据保护。

6. 结论：免费云服务器值得尝试吗？

对于个人开发者、学生或初创团队来说，免费云服务器是探索云计算、测试项目的绝佳选择。通过合理利用AWS、Google Cloud、Azure等平台的免费资源，可以大幅降低技术成本。然而，对于商业级应用或高负载需求，建议升级到付费方案以获得更好的性能和稳定性。

如果你正在寻找免费云服务器，不妨从AWS Free Tier或Oracle Cloud开始，体验云端计算的强大功能！

[asadmukhtarr]

Deploying a MERN (MongoDB, Express, React, Node.js) stack application is a crucial step to make your app accessible to users. Choosing the right deployment platform depends on your needs:

AWS (Amazon Web Services) is ideal for scalable, high-performance applications.

Vercel is great for quick and easy deployment, especially for frontend applications.

In this guide, we will walk through deploying a MERN stack application on AWS (using EC2 and S3) and Vercel (for serverless hosting).

[codeonedigest]

https://codeonedigest.blogspot.com/2023/07/aws-ec2-instance-setup-and-run.html

[learning-code-ficusoft]

A Guide to Creating APIs for Web Applications

APIs (Application Programming Interfaces) are the backbone of modern web applications, enabling communication between frontend and backend systems, third-party services, and databases. In this guide, we’ll explore how to create APIs, best practices, and tools to use.

1. Understanding APIs in Web Applications

An API allows different software applications to communicate using defined rules. Web APIs specifically enable interaction between a client (frontend) and a server (backend) using protocols like REST, GraphQL, or gRPC.

Types of APIs

RESTful APIs — Uses HTTP methods (GET, POST, PUT, DELETE) to perform operations on resources.

GraphQL APIs — Allows clients to request only the data they need, reducing over-fetching.

gRPC APIs — Uses protocol buffers for high-performance communication, suitable for microservices.

2. Setting Up a REST API: Step-by-Step

Step 1: Choose a Framework

Node.js (Express.js) — Lightweight and popular for JavaScript applications.

Python (Flask/Django) — Flask is simple, while Django provides built-in features.

Java (Spring Boot) — Enterprise-level framework for Java-based APIs.

Step 2: Create a Basic API

Here’s an example of a simple REST API using Express.js (Node.js):javascriptconst express = require('express'); const app = express(); app.use(express.json());let users = [{ id: 1, name: "John Doe" }];app.get('/users', (req, res) => { res.json(users); });app.post('/users', (req, res) => { const user = { id: users.length + 1, name: req.body.name }; users.push(user); res.status(201).json(user); });app.listen(3000, () => console.log('API running on port 3000'));

Step 3: Connect to a Database

APIs often need a database to store and retrieve data. Popular databases include:

SQL Databases (PostgreSQL, MySQL) — Structured data storage.

NoSQL Databases (MongoDB, Firebase) — Unstructured or flexible data storage.

Example of integrating MongoDB using Mongoose in Node.js:javascriptconst mongoose = require('mongoose'); mongoose.connect('mongodb://localhost:27017/mydb', { useNewUrlParser: true, useUnifiedTopology: true });const UserSchema = new mongoose.Schema({ name: String }); const User = mongoose.model('User', UserSchema);app.post('/users', async (req, res) => { const user = new User({ name: req.body.name }); await user.save(); res.status(201).json(user); });

3. Best Practices for API Development

🔹 Use Proper HTTP Methods:

GET – Retrieve data

POST – Create new data

PUT/PATCH – Update existing data

DELETE – Remove data

🔹 Implement Authentication & Authorization

Use JWT (JSON Web Token) or OAuth for securing APIs.

Example of JWT authentication in Express.js:

javascript

const jwt = require('jsonwebtoken'); const token = jwt.sign({ userId: 1 }, 'secretKey', { expiresIn: '1h' });

🔹 Handle Errors Gracefully

Return appropriate status codes (400 for bad requests, 404 for not found, 500 for server errors).

Example:

javascript

app.use((err, req, res, next) => { res.status(500).json({ error: err.message }); });

🔹 Use API Documentation Tools

Swagger or Postman to document and test APIs.

4. Deploying Your API

Once your API is built, deploy it using:

Cloud Platforms: AWS (Lambda, EC2), Google Cloud, Azure.

Serverless Functions: AWS Lambda, Vercel, Firebase Functions.

Containerization: Deploy APIs using Docker and Kubernetes.

Example: Deploying with DockerdockerfileFROM node:14 WORKDIR /app COPY package.json ./ RUN npm install COPY . . CMD ["node", "server.js"] EXPOSE 3000

5. API Testing and Monitoring

Use Postman or Insomnia for testing API requests.

Monitor API Performance with tools like Prometheus, New Relic, or Datadog.

Final Thoughts

Creating APIs for web applications involves careful planning, development, and deployment. Following best practices ensures security, scalability, and efficiency.

WEBSITE: https://www.ficusoft.in/python-training-in-chennai/

[simple-logic]

Streamlining Database Migration for Better Control and Performance🚀 A leading fintech company achieved significant cost savings and performance improvements by migrating their MongoDB database from AWS EC2 to an on-premises Linux environment. 💻

Challenges: - High operational costs with AWS EC2 usage 💸 - Performance issues with increasing data volume 📊 - Security and control concerns with cloud dependency 🌥️

Our Solution: - Migrated MongoDB to high-performance Linux 🖥️ - Used replica sets for high availability 🔄 - Ensured security with encryption & access controls 🔐

The Results: - 40% reduction in operational costs 💰 - 20% improvement in database performance 📈 - Enhanced control over data with full security compliance🔒

Take control of your infrastructure with Simple Logic’s expert database migration services! 🌐🚀

👉 Contact us here: https://simplelogic-it.com/contact-us/ 📞

[govindhtech]

What Is Amazon EBS? Features Of Amazon EBS And Pricing

Amazon Elastic Block Store: High-performance, user-friendly block storage at any size

What is Amazon EBS?

Amazon Elastic Block Store provides high-performance, scalable block storage with Amazon EC2 instances. AWS Elastic Block Store can create and manage several block storage resources:

Amazon EBS volumes: Amazon EC2 instances can use Amazon EBS volumes. A volume associated to an instance can be used to install software and store files like a local hard disk.

Amazon EBS snapshots: Amazon EBS snapshots are long-lasting backups of Amazon EBS volumes. You can snapshot Amazon EBS volumes to backup data. Afterwards, you can always restore new volumes from those snapshots.

Advantages of the Amazon Elastic Block Store

Quickly scale

For your most demanding, high-performance workloads, including mission-critical programs like Microsoft, SAP, and Oracle, scale quickly.

Outstanding performance

With high availability features like replication within Availability Zones (AZs) and io2 Block Express volumes’ 99.999% durability, you can guard against failures.

Optimize cost and storage

Decide which storage option best suits your workload. From economical dollar-per-GB to high performance with the best IOPS and throughput, volumes vary widely.

Safeguard

You may encrypt your block storage resources without having to create, manage, and safeguard your own key management system. Set locks on data backups and limit public access to prevent unwanted access to your data.

Easy data security

Amazon EBS Snapshots, a point-in-time copy that can be used to allow disaster recovery, move data across regions and accounts, and enhance backup compliance, can be used to protect block data storage both on-site and in the cloud. With its integration with Amazon Data Lifecycle Manager, AWS further streamlines snapshot lifecycle management by enabling you to establish policies that automate various processes, such as snapshot creation, deletion, retention, and sharing.

How it functions

A high-performance, scalable, and user-friendly block storage solution, Amazon Elastic Block Store was created for Amazon Elastic Compute Cloud (Amazon EC2).Image credit to AWS

Use cases

Create your cloud-based, I/O-intensive, mission-critical apps

Switch to the cloud for mid-range, on-premises storage area network (SAN) applications. Attach block storage that is both high-performance and high-availability for applications that are essential to the mission.

Utilize relational or NoSQL databases

Install and expand the databases of your choosing, such as Oracle, Microsoft SQL Server, PostgreSQL, MySQL, Cassandra, MongoDB, and SAP HANA.

Appropriately scale your big data analytics engines

Detach and reattach volumes effortlessly, and scale clusters for big data analytics engines like Hadoop and Spark with ease.

Features of Amazon EBS

It offers the following features:

Several volume kinds: Amazon EBS offers a variety of volume types that let you maximize storage efficiency and affordability for a wide range of uses. There are two main sorts of volume types: HDD-backed storage for workloads requiring high throughput and SSD-backed storage for transactional workloads.

Scalability: You can build Amazon EBS volumes with the performance and capacity requirements you want. You may adjust performance or dynamically expand capacity using Elastic Volumes operations as your needs change, all without any downtime.

Recovery and backup: Back up the data on your disks using Amazon EBS snapshots. Those snapshots can subsequently be used to transfer data between AWS accounts, AWS Regions, or Availability Zones or to restore volumes instantaneously.

Data protection: Encrypt your Amazon EBS volumes and snapshots using Amazon EBS encryption. To secure data-at-rest and data-in-transit between an instance and its connected volume and subsequent snapshots, encryption procedures are carried out on the servers that house Amazon EC2 instances.

Data availability and durability: io2 Block Express volumes have an annual failure rate of 0.001% and a durability of 99.999%. With a 0.1% to 0.2% yearly failure rate, other volume types offer endurance of 99.8% to 99.9%. To further guard against data loss due to a single component failure, volume data is automatically replicated across several servers in an Availability Zone.

Data archiving: EBS Snapshots Archive provides an affordable storage tier for storing full, point-in-time copies of EBS Snapshots, which you must maintain for a minimum of ninety days in order to comply with regulations. and regulatory purposes, or for upcoming project releases.

Related services

These services are compatible with Amazon EBS:

In the AWS Cloud, Amazon Elastic Compute Cloud lets you start and control virtual machines, or EC2 instances. Like hard drives, EBS volumes may store data and install software.

You can produce and maintain cryptographic keys with AWS Key Management Service, a managed service. Data saved on your Amazon EBS volumes and in your Amazon EBS snapshots can be encrypted using AWS KMS cryptographic keys.

EBS snapshots and AMIs supported by EBS are automatically created, stored, and deleted with Amazon Data Lifecycle Manager, a managed service. Backups of your Amazon EC2 instances and Amazon EBS volumes can be automated with Amazon Data Lifecycle Manager.

EBS direct APIs: These services let you take EBS snapshots, write data to them directly, read data from them, and determine how two snapshots differ or change from one another.

Recycle Bin is a data recovery solution that lets you recover EBS-backed AMIs and mistakenly erased EBS snapshots.

Accessing Amazon EBS

The following interfaces are used to build and manage your Amazon EBS resources:

Amazon EC2 console

A web interface for managing and creating snapshots and volumes.

AWS Command Line Interface

A command-line utility that enables you to use commands in your command-line shell to control Amazon EBS resources. Linux, Mac, and Windows are all compatible.

AWS Tools for PowerShell

A set of PowerShell modules for scripting Amazon EBS resource activities from the command line.

Amazon CloudFormation

It’s a fully managed AWS service that allows you describe your AWS resources using reusable JSON or YAML templates, and then it will provision and setup those resources for you.

Amazon EC2 Query API

The HTTP verbs GET or POST and a query parameter called Action are used in HTTP or HTTPS requests made through the Amazon EC2 Query API.

Amazon SDKs

APIs tailored to particular languages that let you create apps that interface with AWS services. Numerous well-known programming languages have AWS SDKs available.

Amazon EBS Pricing

You just pay for what you provision using Amazon EBS. See Amazon EBS pricing for further details.

Read more on Govindhtech.com

[infowiki]

Breaking Down the Technology Behind Dataffirm with John Kavanagh

In the ever-evolving landscape of fintech, Dataffirm stands out as a pioneering platform that leverages advanced technology to provide robust investment solutions. Central to the success of Dataffirm is the technical expertise and innovative vision of John Kavanagh. Based in foggy Brighton, John Kavanagh is an award-winning freelance web developer with over twenty-one years of experience. His proficiency in modern JavaScript (or TypeScript), React, HTML, and CSS has been instrumental in bringing Dataffirm's cutting-edge functionalities to life. This article delves into the technology stack behind Dataffirm and highlights John Kavanagh's critical contributions to the project.

Understanding Dataffirm's Technology Stack

1. Modern JavaScript Frameworks

React: At the heart of Dataffirm's user interface is React, a JavaScript library renowned for building dynamic and responsive web applications. React's component-based architecture allows for the development of reusable UI components, ensuring consistency and efficiency across the platform.

TypeScript: To enhance the scalability and maintainability of the codebase, TypeScript, a superset of JavaScript, is utilized. TypeScript's static typing and advanced features facilitate early error detection and robust software design, which are crucial for a fintech platform handling sensitive investment data.

2. Backend Technologies

Node.js: Dataffirm's backend is powered by Node.js, a JavaScript runtime that enables server-side scripting. Node.js is known for its event-driven architecture and non-blocking I/O operations, making it ideal for handling multiple concurrent requests and ensuring fast response times.

Express.js: Complementing Node.js, Express.js is used as the web application framework to build robust APIs and manage server configurations. Express.js streamlines the development process by providing a suite of features for web and mobile applications.

3. Database Management

MongoDB: Dataffirm employs MongoDB, a NoSQL database, to manage its extensive and complex data sets. MongoDB's flexible schema design allows for the efficient storage and retrieval of diverse data types, which is essential for a fintech platform that deals with various financial instruments and user profiles.

4. Cloud Infrastructure

AWS (Amazon Web Services): To ensure scalability, security, and high availability, Dataffirm is hosted on AWS. AWS provides a range of services, including EC2 for computing power, S3 for storage, and RDS for relational database management. Utilizing AWS allows Dataffirm to handle increasing user demands and ensure data redundancy and security.

John Kavanagh's Role in Dataffirm's Success

Expertise and Innovation

John Kavanagh brings over two decades of experience in web development to Dataffirm. His deep understanding of JavaScript, React, TypeScript, HTML, and CSS has been pivotal in crafting a seamless user experience. John's innovative approach ensures that Dataffirm remains at the forefront of fintech technology.

User Experience Design

John's commitment to delivering considered user experiences is evident in Dataffirm's intuitive and responsive interface. By leveraging React and modern design principles, he has created a platform that is both user-friendly and visually appealing, enhancing user engagement and satisfaction.

Scalability and Performance

John's technical proficiency ensures that Dataffirm's architecture is scalable and performant. By utilizing Node.js and AWS, he has developed a backend capable of handling significant traffic and processing large volumes of data efficiently. This scalability is crucial for supporting Dataffirm's growth and providing a reliable service to users.

Security and Compliance

In the fintech industry, security and compliance are paramount. John integrates best practices in web security, including data encryption, secure authentication, and regular security audits, to protect user data and ensure compliance with financial regulations.

Key Takeaways for Aspiring Developers

Continuous Learning and Adaptation

John Kavanagh's journey underscores the importance of continuous learning and adaptation in the tech industry. Staying updated with the latest technologies and trends, such as adopting TypeScript and cloud services, can significantly enhance a developer's ability to deliver high-quality solutions.

Emphasis on User Experience

Prioritizing user experience is essential for the success of any digital platform. Aspiring developers should focus on creating intuitive, responsive, and visually appealing interfaces to engage users effectively.

Collaboration and Communication

Successful project execution often involves collaboration and clear communication among team members. John’s ability to work seamlessly with various stakeholders, including designers, project managers, and clients, has been crucial in delivering a successful product.

Conclusion

The success of Dataffirm as a leading fintech platform is a testament to the advanced technology stack and the exceptional expertise of John Kavanagh. By leveraging modern JavaScript frameworks, robust backend technologies, and scalable cloud infrastructure, John has played a pivotal role in shaping Dataffirm's innovative solutions. For those looking to embark on or enhance their EPiServer projects, collaborating with an experienced developer like John Kavanagh can provide invaluable insights and ensure project success.

[websourceitsolution]

🚀 Looking for the best web design services in Mohammadpur, Dhaka? Look no further! 🚀

🚀 Looking for the best web design services in Mohammadpur, Dhaka? Look no further! 🚀

Web Source IT Solution offers top-notch website design and development solutions tailored to meet your specific needs. Whether you're in Mohammadpur, Lalmatia, Sankar, Adabor, or Shyamoli, our team of expert web designers is here to elevate your online presence!

🌐 Why Choose Web Source IT Solution? 🌐

🔹 Front-End Development:

HTML/CSS: Create responsive, accessible web layouts using HTML5, CSS3, Flexbox, and CSS Grid.

JavaScript: Skilled in vanilla JS and frameworks like React, Angular, Vue.js. Expertise in building interactive UIs and managing state with Redux.

Responsive Design: Ensure mobile-friendly websites with Bootstrap and Tailwind CSS.

Cross-Browser Compatibility: Guarantee consistency across different browsers and platforms.

🔹 Back-End Development:

Languages: Proficient in Node.js, Python (Django, Flask), PHP (Laravel), Ruby on Rails.

APIs: Design and consume RESTful APIs and GraphQL.

Database Management: Expert in SQL (MySQL, PostgreSQL) and NoSQL (MongoDB). Proficient in database design, indexing, and optimization.

Security: Implement secure authentication with JWT, OAuth, and session-based methods.

🔹 Full-Stack Development:

MEAN/MERN Stack: Full-stack development with MongoDB, Express.js, Angular/React, and Node.js.

LAMP Stack: Develop web applications using Linux, Apache, MySQL, and PHP.

Testing & Debugging: Use Jest, Mocha, Selenium for testing. Skilled in debugging with browser developer tools and server-side logging.

🔹 DevOps and Deployment:

Version Control: Proficient with Git and GitHub/GitLab.

CI/CD: Set up CI/CD pipelines using Jenkins, CircleCI, GitHub Actions.

Cloud Services: Experienced with AWS, Google Cloud, Azure. Proficient with services like EC2, S3, Lambda, Firebase.

Containerization: Utilize Docker and Kubernetes.

🔹 UI/UX Design:

Design Tools: Proficient in Adobe XD, Figma, Sketch.

User Experience: Apply user-centered design principles and conduct usability testing.

🔹 Project Management and Collaboration:

Agile Methodologies: Experience with Scrum, Kanban. Use tools like Jira, Trello.

Team Collaboration: Strong communication for cross-functional teamwork.

🔹 Security Best Practices:

Secure Coding: Knowledgeable about OWASP Top 10 vulnerabilities.

SSL/TLS: Implement secure data transmission.

Example Projects:

E-commerce Websites: Full-featured platforms with user authentication, product management, shopping cart, and payment integration.

Social Media Applications: Real-time messaging, notifications, recommendation engines.

CMS: Customizable content management systems with user-friendly admin panels and rich text editing.

Technologies and Tools:

Languages: HTML, CSS, JavaScript, TypeScript, PHP, Python, Ruby, SQL.

Frameworks/Libraries: React, Angular, Vue.js, Node.js, Django, Flask, Laravel, Ruby on Rails.

Databases: MySQL, PostgreSQL, MongoDB, Redis.

Tools: Git, Docker, Jenkins, AWS, Google Cloud, Adobe XD, Figma.

Contact Us: 📞 Phone & WhatsApp: 01947203573 ☎️ Hotline: +8809638606772 📧 E-mail: info@websourcebd.com 🌐 Website: websourcebd.com 🏠 Address: House #1283, Road #11, Avenue #2, Mirpur DOHS, Dhaka-1216, Bangladesh

Hire the best web designers in Mohammadpur today and take your business to new heights with our exceptional web design and development services! 🌟

#WebDesign #Mohammadpur #Dhaka #WebDevelopment #WebSourceITSolution #ResponsiveDesign #FullStackDevelopment #UIUXDesign #GraphicDesign #LogoDesign #MobileAppDevelopment #WebDesignCompany

[linuxcustomized]

Uncovering the Foundation: What Platform is GoHighLevel Built On?

GoHighLevel is an all-in-one marketing automation and client management platform tailored for digital agencies and service-based businesses. But what technology is powering this popular software solution under the hood?

A Platform Built from Scratch

Unlike some software tools built on top of existing CRM or marketing systems, GoHighLevel's platform architecture seems to have been developed completely from the ground up by the company's own engineering team.

Founded in 2017 by Shaun Clark, GoHighLevel identified gaps in how digital agencies managed workflows and wanted to create an integrated solution optimized for their needs. This led the team to build a custom technology stack rather than relying on existing foundations.

Continued platform development is handled by GoHighLevel's in-house developers and engineers. They keep enhancing the software with new features and capabilities based on user feedback and the evolving market.

Cloud-Based Infrastructure

As a cloud-native SaaS product, GoHighLevel is hosted on public cloud infrastructure rather than proprietary data centers. Specifically, it runs on Amazon Web Services and leverages services like EC2 and S3.

The cloud architecture allows GoHighLevel to scale elastically to support growing user bases without capacity limitations. It also enables quick deployment of updates across the platform.

Modern Web Stack

GoHighLevel utilizes a modern web development stack built on popular frameworks and databases:

Frontend: React, Redux

Backend: Node.js, Express

Database: MongoDB

Hosting: AWS S3, CloudFront

Search: Elasticsearch

Queuing: Kafka

This technology foundation allows GoHighLevel to create a responsive and robust web application optimized for its use cases. The stack also enables integration with other tools via APIs.

Custom Mobile Apps

Alongside the web platform, GoHighLevel offers native mobile apps for iOS and Android rather than a wrapped web view. These apps provide optimized mobile access to key features like contacts, deals, and calendars.

The mobile apps are built using React Native and connect to the same backend services powering the web platform. However, the UI is customized for mobile devices.

Proprietary Codebase

As a commercial software business, GoHighLevel maintains a proprietary codebase that is not publicly accessible or open source. Only select details about the underlying technologies are revealed.

This gives GoHighLevel total control over platform development and strategic direction rather than relying on a community open source project.

Focus on Security and Compliance

With a proprietary platform, GoHighLevel can fully manage security, access controls, encryption, redundancy, and other measures vital for an online business platform.

Data protection is a key focus. GoHighLevel undergoes regular audits to maintain compliance certifications for security standards like SOC 2.

Built for Scale and Reliability

GoHighLevel's infrastructure is designed for scalability and reliability as a business-critical platform. Server infrastructure is distributed globally across availability zones for redundancy.

The platform also utilizes containers and infrastructure as code for efficient scaling. Automated failover systems provide uptime and data durability.

Ongoing Enhancements

GoHighLevel maintains an internal product roadmap based on user feedback and industry trends. New features and updates are continually developed and deployed on a rapid release cycle.

This allows the platform to quickly evolve and improve over time based on real user data rather than long release cycles.

Conclusion

In summary, GoHighLevel is powered by a robust proprietary technology stack designed and built in-house specifically for the product's use cases. The cloud-based infrastructure, modern web architecture, and focus on scale, security, and reliability provide the foundation for GoHighLevel's all-in-one capabilities tailored to digital agencies' needs. The platform continues to enhance through rapid iterative development driven by customer-focused product development.

[globaljobalert-blog]

Senior, Staff Software Engineer - Backend/Python - USA (100% Remote)

Company: Close We are looking for US-based Senior and Staff level engineers to join our team. Base salary range is $140,000 to $200,000. These are fully remote positions. Read on to learn more! About Us Close is a bootstrapped, profitable, 100% remote, ~80 person team of thoughtful individuals who value autonomy and impact. We’re eager to make a product our customers fall in love with over and over again. We ❤️ startups & SMBs. Since 2013, we’ve been building a CRM  that focuses on better communication, without the hassle of manual data entry or complex UI. Our goal: double the productivity of every sales rep. Our backend tech stack currently consists primarily of Python Flask web apps with our TaskTiger scheduler handling many of the backend asynchronous task processing chores. Our data stores include MongoDB, PostgreSQL, Elasticsearch, and Redis. The underlying infrastructure runs on AWS using a combination of managed services like EKS, MSK, RDS and ElasticCache and non-managed services running on EC2 instances. All of our compute runs through CI/CD pipelines that build Docker images, run automated tests and deploy to our Kubernetes clusters. Our backend primarily serves a well-documented public API that our front-end JavaScript app consumes. Our infrastructure is heavily automated using Terraform, Ansible and other AWS tools. We open sourcing our code and ideas on our GitHub and onThe Making of Close, our behind-the-scenes Product & Engineering blog. Check out our projects like SocketShark, TaskTiger, LimitLion and ciso8601. About You We’re looking for high achieving full-time Software Engineers to join our engineering team. Someone who has interest and a good understanding in web technologies and wants to help design, implement, launch, and scale major systems and user-facing features. You're comfortable working in a fast-paced environment with a small and talented team where you're supported in your efforts to grow professionally. You're able to manage your time well, communicate effectively and collaborate in a fully distributed team. Requirements... - Senior/Staff level candidates should have 5+ years experience building modern back-end systems. Mid-level candidates should have ~3 years of similar experience and be eager to level up with the right opportunity. - Python experience is preferred but experience in other languages is acceptable if you have a desire to work with Python. - You have hands-on production experience working with MongoDB, PostgreSQL, Elasticsearch, or similar data stores.  - You have experience designing, scaling, debugging, and optimizing systems to make them fast and reliable.  - You have participated in code reviews and provided overall code quality suggestions to help maintain the structure and quality of the codebase.  - You care about the craftsmanship of the code and systems you produce. - Located in the USA. Not in the US? Check out this job post for our non-US BE position. Bonus point if you have… - Contributed open source code related to our tech stack - Led small project teams building and launching features - Built B2B SaaS products - Worked with complex architectures that support multiple APIs (e.g. REST, GQL, WebSockets) as well as async task and event processing frameworks Come help us with projects like... - Conceiving, designing, building, and launching new user-facing features - Improving the performance and scalability of our GraphQL andREST API. - Improving how we sync millions of sales emails and calendar events each month - Working with Twilio's API, WebSockets, and WebRTC to improve our calling features - Building user-facing analytics features that provide actionable insights based on sales activity data - Improving our Elastic search-backed powerful search features - Improving our internal messaging infrastructure using streaming technologies like Kafka and Redis  - Building new and enhancing existing integrations with other SaaS platforms like Google’s G Suite, Zapier, and Web Conferencing providers Why work with us? - Culture video 💚 - 100% remote company (we believe in trust and autonomy) - Choose between working 5 days/wk (standard full-time) or 4 days/wk @ 80% pay - Annual team retreats ✈️ - Quarterly virtual summits - 5 weeks PTO + Winter Holiday Break - 2 additional PTO days every year with the company - 1 month paid sabbatical every 5 years - Paid parental leave - Medical, Dental, Vision with HSA option (US residents) - 401k matching at 6% (US residents) - Dependent care FSA (US residents) - Contributor to Stripe's climate initiative 🌍❤️  - Our story and team 🚀 Our Values - Build a house you want to live in -- Examine long-term thinking and action - No BS -- Practice transparency and honesty, especially when it’s hard - Invest in each other -- Build successful relationships with your coworkers and customers  - Discipline equals freedom -- Keep your word to yourself and others - Strive for greatness -- Constantly challenge yourself and others  How We Work Together - Productivity, Quality & Impact: We don’t track hours. We trust you’re an adult and know best how to prioritize, meet your goals and contribute at a high level.  - Asynchronous communication & collaboration: We have team members all over the world. We don’t expect anyone to work untraditional hours, that means our default is async. Most teams have 2-5 hours of internal meetings weekly.  - Appreciation for Deep Work: *During your normal work day, not after a day of meetings*.  - Autonomy & Freedom: Create a work environment that is sustainable for you. We place a high amount of trust and responsibility with our team members from the start.  At Close, everyone has a voice. We encourage transparency and practice a mature approach to the work-place. In general, we don’t have strict policies, we have guidelines. Work/Life harmony is an important part of our business - we believe you bring your best to work when you practice self-care (whatever that looks like for you).   We come from 20+ countries located in 5 of the 7 continents. We’re a collection of talented humans, rich in diverse backgrounds, lifestyles, and cultures. Every year we meet up somewhere around the world to spend time with one another. These gatherings are an opportunity to strengthen the relationships within our global community. Our team is growing in more ways than one - in the last few years, we've launched 24 babies (and counting!). Unanimously, our favorite and most impactful value is “Build a house you want to live in.” We strive to make decisions that are authentic for our people and help our customers become more successful.  Our application process was designed to promote equitable and unbiased hiring practices. We ask a small series of questions that are similar to what would be asked in the first interview. This helps us learn more about you right from the start so please be sure to answer each question thoughtfully. Each application will receive two screens by two different reviewers. Regardless of fit, you will hear back from us letting you know if we'll be moving forward. Interested in Close but don't think this role is the best fit for you? View our other position APPLY ON THE COMPANY WEBSITE To get free remote job alerts, please join our telegram channel “Global Job Alerts” or follow us on Twitter for latest job updates. Disclaimer:  - This job opening is available on the respective company website as of 4thJuly 2023. The job openings may get expired by the time you check the post. - Candidates are requested to study and verify all the job details before applying and contact the respective company representative in case they have any queries. - The owner of this site has provided all the available information regarding the location of the job i.e. work from anywhere, work from home, fully remote, remote, etc. However, if you would like to have any clarification regarding the location of the job or have any further queries or doubts; please contact the respective company representative. Viewers are advised to do full requisite enquiries regarding job location before applying for each job.   - Authentic companies never ask for payments for any job-related processes. Please carry out financial transactions (if any) at your own risk. - All the information and logos are taken from the respective company website. Read the full article