Database Automation

Apart from DevOps adoption, which we covered in great depth in this book so far, there were some great advancements in the field of database automation! In this chapter, we will have a high-level overview of these, highlighting their impact on today’s industry. These are the following:

• Self-driving databases: Database management systems (DBMs) have become more autonomous and capable of managing and tuning themselves. These self-driving databases can automate tasks such as data backup, recovery, tuning, and indexing. They can also proactively repair and prevent faults, reducing the need for human intervention.
• Artificial intelligence and machine learning enhancements: Artificial Intelligence (AI) and Machine Learning (ML) have been incorporated into database systems to analyze query performance, predict future workloads, and optimize resource allocation accordingly. This has significantly improved the efficiency and speed of databases.
• Automated...