Singapore – Aiming to address the increasing demand for AI and cloud services, Oracle has recently announced the introduction of its second cloud region in Singapore.
This strategic launch allows their customers and partners across all industries in Southeast Asia to migrate mission-critical workloads from their data centres to Oracle cloud infrastructure. It further enables them to access a wide range of cloud services to modernise their applications and innovate with AI, data, and analytics.
Leveraging the two regions in Singapore, the company can also assist organisations in fortifying business continuity efforts, all while meeting the country’s criteria for data residency and sovereignty.
The first Oracle Cloud Singapore region has supported the innovation needs of more than 1,000 customers in Southeast Asia, including Pacific International Lines and Siam Makro.
Furthermore, deploying resilient architectures across both cloud regions in Singapore also allows customers to enhance their business continuity. This setup facilitates high availability and disaster recovery within the country, ensuring data remains in Singapore.
On the other hand, to achieve maximum availability, Oracle’s cloud adoption framework recommends a geographically distributed strategy using a multi-region application architecture. With this, customers can also adopt a multi-region disaster recovery architecture with failover to another cloud region.
The company’s dual-region strategy is to deploy at least two cloud regions in every country where they operate to enable region-to-region disaster recovery. This ensures that data stays within borders.
At present, Oracle’s cloud infrastructure now operates in 39 commercial public cloud regions in 24 countries. Customers can implement multi-region disaster recovery within borders in 13 countries and the EU, with announced second regions in 4 more countries.
They are also set to operate another two or more regions in their separate EU sovereign cloud, all US government clouds, and UK government clouds.