Cloud resource deployment control
By integrating tenant-defined and global deployment constraints, the system addresses the challenge of aligning resource deployments with customer-specific uptime and security needs, ensuring efficient and compliant cloud resource management.
JP2026520294APending Publication Date: 2026-06-23ORACLE INT CORP
Patent Information
- Authority / Receiving Office
- JP · JP
- Patent Type
- Applications
- Current Assignee / Owner
- ORACLE INT CORP
- Filing Date
- 2024-04-27
- Publication Date
- 2026-06-23
AI Technical Summary
Technical Problem
Customers lack control over when and how resources are deployed in cloud environments due to varying uptime and security/compliance needs, leading to deployment schedules that may not align with individual customer requirements.
Method used
Implementing tenant-defined partition-specific deployment constraints alongside global deployment constraints, allowing tenants to manage resource deployments dynamically based on partition-specific state information while ensuring compliance with CSP-defined rules.
Benefits of technology
Enables tenants to control resource deployments according to their specific needs, balancing individual requirements with global constraints for efficient and compliant cloud resource management.
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Smart Images
Figure 2026520294000001_ABST
Abstract
This document discloses a technology for controlling resource deployments in cloud partitions of a cloud environment. A cloud service provider (CSP) operates a cloud environment in which its customers can specify constraints on deployments to their respective partitions (i.e., regions or realms). Partition-specific deployment constraints are rules that restrict the changes / updates that can be made to one or more specific partitions. Partition-specific deployment constraints apply to at least one partition, but may apply to multiple partitions. For example, partition-specific deployment constraints may apply to one or more regions within a realm. Partition-specific deployment constraints are evaluated at deployment time using the most recent state or a curated subset of the state for at least one specific partition. A global deployment orchestrator orchestrates the deployment at least partially based on whether the deployment satisfies the partition-specific constraints in the target partition.
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