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

Overview of database services in the cloud

This section provides a comprehensive and detailed understanding of the diverse range of database offerings available in cloud computing environments. Cloud providers offer managed database services that simplify database administration by handling tasks such as provisioning, configuration, patching, backups, and scaling. Two major categories of database services are covered: relational databases and NoSQL databases. Relational databases follow a structured schema and store data in tables with rows and columns, making them ideal for structured data. Managed relational database services such as Amazon Relational Database Service (RDS), Azure SQL Database, and Google Cloud SQL support popular engines such as MySQL, PostgreSQL, Oracle, and SQL Server. On the other hand, NoSQL databases are designed for flexible and schema-less data storage, making them suitable for unstructured or semi-structured data. Cloud providers offer managed NoSQL database...