Imagine an enterprise database with the self-driving capability of a Tesla and the self-healing, self-securing powers of the Terminator. Well, it’s here—and it’s called Oracle Autonomous Database.
Part of Oracle's Cloud Infrastructure (OCI), Oracle Autonomous Database (OAD) is a cloud platform that’s actually designed to be self-driving, self-securing and self-repairing, automating many of the time-consuming tasks typically associated with managing and maintaining a database. This frees users to focus on developing applications and extracting actionable insights from business data.
Offering a comprehensive suite of cloud services, including infrastructure as a service (IaaS), platform as a service (PaaS) and software as a service (SaaS), OAD provide a scalable, secure and reliable cloud platform for businesses to run their applications and services.
Leveraging machine learning algorithms to automate routine database tasks such as provisioning, tuning, backups and updates, OAD reduces the need for manual intervention, freeing DBAs and developers to focus on higher-value tasks.
Self-securing, Oracle Autonomous Database offers built-in security features such as automated patching and updates that protect against existing and even potential vulnerabilities. It also employs advanced security measures to defend against common cyber-threats and attacks to safeguard both data and applications.
Oracle Autonomous Database is architected for high availability and reliability; including automated backups and failover mechanisms that minimize downtime, ensuring business-critical applications remain online and operational. And yes, it also provides necessary resource scalability based upon workload needs, allowing you to efficiently handle spikes in demand or adjust resources downward during quieter periods.
While all this sounds very tempting, the real question is: How do you get there? Fortunately, mLogica’s STAR*M automated migration software makes transitioning from legacy databases to Oracle Autonomous Database faster, easier and far less costly than traditional manual methodologies.
Designed to replatform and refactor legacy distributed databases and applications to cloud native technologies, including OAD, STAR*M features a highly-automated and hardened translation engine for improved efficiency and accuracy and dramatically reduced implementation timelines. What’s more, STAR*M’s reinforced machine learning and AI virtually eliminates migration failure risks.
For an in-depth understanding of STAR*M's capabilities contact us or, to learn in-person how mLogica can get your organization to the cloud fast and cost-efficiently, join me at Oracle CloudWorld September 18–21, 2023 at The Venetian Conference and Expo Center in Las Vegas, Nevada!