| Oracle Autonomous Database is a cloud-based technology designed to automate many of the routine tasks required to manage Oracle databases. Introduced in 2017, the technology layers the company's Oracle Database 18c software with a set of automated services that use machine learning algorithms. The combination is offered as a cloud service called Oracle Autonomous Database Cloud, which Oracle describes as "self-driving, self-securing and self-repairing." Features of Oracle Autonomous Database Machine learning functionality allows Oracle Autonomous Database to assimilate the information it needs to provision databases on its own and find, allocate and configure all of the necessary hardware and software for users. The technology gathers statistics as new data is uploaded and regularly runs tests to ensure that all changes and upgrades are safe. Autonomous Database scans for issues across all layers of the technology stack using diagnostic tools such as ORAchk, EXAchk, OSWatcher and Procwatcher. If an error occurs, Autonomous Database collects relevant diagnostic data, analyzes logs to establish a timeline and works backward to solve the problem. For example, it can back out data errors made by users. Oracle Autonomous Database doesn't require manual tuning to optimize performance; instead, the technology tunes itself, including automatic creation of database indexes to help improve application performance. Autonomous Database also backs up databases, applies database updates and security patches and encrypts data automatically to protect information from unauthorized access. The system also patches itself on a regular quarterly schedule, although users can override this feature to schedule patching when convenient. Oracle Autonomous Database can also apply out-of-cycle security updates when necessary -- for example, when Oracle releases an emergency patch to address a zero-day exploit. Additionally, the technology uses Oracle's Database Vault tool to prevent Oracle DBAs from seeing user data and the company's data masking feature to identify and conceal sensitive data. Oracle Autonomous Database can scale itself up as needed; it also monitors capacity limits and bottlenecks in key system components in an effort to avoid performance problems. Updates are applied in a rolling fashion across a clustered system's compute nodes so applications can continue to run during the process, and the cloud service automatically repairs itself in the event of a system failure. According to Oracle, Autonomous Database provides 99.995% uptime. | 
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