- ✅ Deploy a Website using Apache/Nginx + MySQL/PostgreSQL
- ✅ Implement HTTPS with SSL/TLS
- ✅ Optimize Database Queries & Performance
- ✅ Configure Load Balancing & Server Redundancy
Server and Cloud Optimization
Web & Database Server Management Hosting, Optimization, and Backend Management
Learn Web and Database Server Management for effective web hosting, database optimization, and backend performance tuning. Master server configuration, security, and scalability to ensure smooth website and database operations.
Shreelakshmi
- (4.8)
- 15
- 1 hour per day
- 25
The course will cover database management for MySQL, MariaDB, and PostgreSQL. You’ll learn how to create and manage databases, configure user permissions, perform backups, and optimize query performance for faster data retrieval. The course will also introduce caching techniques and load balancing to handle high-traffic scenarios and improve scalability.
This comprehensive course will guide you through Web & Database Server Management, focusing on hosting, optimization, and backend management. You’ll begin by learning how to set up and configure popular web servers like Apache and Nginx to host websites efficiently. You’ll also explore best practices for server performance optimization, ensuring your web applications run smoothly with minimal downtime.
What Will You Learn?
This course will teach you the core concepts of Web & Database Server Management, focusing on hosting, optimization, and backend management. By the end of this course, you’ll be equipped to host web applications, manage databases efficiently, and ensure secure, high-performing server environments.
Requirements
This course is designed for beginners who want to learn Web & Database Server Management with a focus on hosting, optimization, and backend management. While prior experience with web servers or databases is not required, a basic understanding of web development and operating systems will help you get the most out of this course.
Module 1: Introduction to Web & Database Servers
Explore the basics of web and database servers, including Apache, Nginx, IIS, MySQL, PostgreSQL, and MSSQL. Understand how client-server architecture facilitates communication between web applications and databases.
Module 2: Setting Up a Web Server
Learn how to install and configure popular web servers like Apache, Nginx, and IIS on both Linux and Windows platforms. Configure virtual hosts, manage domains, and secure your websites using SSL/TLS certificates to enable HTTPS.
Module 3: Deploying a Database Server
Discover how to install and set up MySQL, PostgreSQL, and MSSQL databases. Tune performance through optimal database configurations, manage users, and control access to ensure data security.
Module 4: Web & Database Server Integration
Master the process of connecting web servers to databases using PHP, Python, and Node.js. Learn advanced techniques like connection pooling and caching to improve application performance and stability.
Module 5: Security & Performance Optimization
Understand how to secure web servers from common threats such as DDoS attacks, SQL injections, and cross-site scripting (XSS). Implement firewalls and access control policies while optimizing database indexing and query performance for speed and efficiency.
Module 6: Load Balancing & High Availability
Implement load balancing using tools like NGINX, HAProxy, and AWS ELB to distribute web traffic evenly. Learn about database replication, failover strategies, and caching solutions using Redis and Memcached to enhance application availability.
Module 7: Backup & Disaster Recovery
Develop strategies for automated database backups and restores, along with web server snapshots and backup plans. Create disaster recovery plans to ensure business continuity during unexpected events.
Module 8: Cloud & Containerization
Explore hosting web and database servers on cloud platforms like AWS, Azure, and Google Cloud. Deploy scalable web applications using Docker and Kubernetes. Learn about cloud database services such as Amazon RDS, Google Cloud SQL, and Microsoft CosmosDB to enhance performance and scalability.