Book Image

The Cloud Computing Journey

By : Divit Gupta
Book Image

The Cloud Computing Journey

By: Divit Gupta

Overview of this book

As the need for digital transformation and remote work surges, so does the demand for cloud computing. However, the complexity of cloud architecture and the abundance of vendors and tools can be overwhelming for businesses. This book addresses the need for skilled professionals capable of designing, building, and managing scalable and resilient cloud systems to navigate the complex landscape of cloud computing through practical tips and strategies. This comprehensive cloud computing guide offers the expertise and best practices for evaluating different cloud vendors and tools. The first part will help you gain a thorough understanding of cloud computing basics before delving deeper into cloud architecture, its design, and implementation. Armed with this expert insight, you'll be able to avoid costly mistakes, ensure that your cloud systems are secure and compliant, and build cloud systems that can adapt and grow with the business. By the end of this book, you’ll be proficient in leveraging different vendors and tools to build robust and secure cloud systems to achieve specific goals and meet business requirements.
Table of Contents (19 chapters)
Free Chapter
Part 1: Fundamentals and Components of the Cloud
Part 2: Compute, Storage, and Networking
Part 3: Security, Compliance, and Databases
Part 4: Monitoring, Backup, and Restore

Database performance optimization

Database performance optimization is a continuous process of enhancing the efficiency, responsiveness, and overall speed of a database system to ensure an optimal user experience and efficient resource utilization. In the context of cloud databases, where dynamic workloads and changing demands are common, performance optimization is critical to delivering consistently high-quality services.

The key aspects of database performance optimization are as follows:

  • Query optimization: Ensuring that database queries are structured and executed in the most efficient way to minimize response times
  • Indexing: Creating appropriate indexes on columns that are frequently queried, improving query performance
  • Caching: Utilizing caching mechanisms to store frequently accessed data in memory, reducing the need to retrieve data from the disk
  • Compression: Employing data compression techniques to reduce storage requirements and enhance I/O performance...