Dynamic Policy Management for Cloud-Native Workloads
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Solution Overview
Problem
Managing policies for cloud-native workloads across multiple target environments is labor-intensive and challenging due to the need for specific control and access rights, with existing solutions lacking dynamic policy updates and support for custom policies.
Innovation Solution
A dynamic policy management system that uses workload profiles to identify and compile relevant policies from a policy database, providing an attestation identifier for workload creation nodes to apply policies dynamically in target environments, ensuring enhanced security and performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual policy definition is used for each workload, then developers have full control over policies, but the process becomes labor-intensive and difficult to maintain across multiple environments
Solution Approach 1:
The system enables self-service policy management by automatically generating workload profiles from workload metadata and compiling applicable policies without requiring manual developer intervention. The policy lifecycle manager autonomously retrieves workload specifications, determines profiles, identifies relevant policies, and applies them across target environments, eliminating the labor-intensive manual process while maintaining comprehensive policy control.
Solution Approach 2:
The system performs preliminary action by pre-defining workload profiles with associated policy requirements before actual workload deployment. Workload profiles are created in advance based on workload types and characteristics, and policies are pre-compiled and stored in a policy database, ready for automatic application when workloads are deployed, thus streamlining the entire policy management process.
2Reliability
If static policy definitions are used, then policy stability is maintained, but dynamic policy updates and latest policy application cannot be achieved
Solution Approach 1:
The system implements dynamics by enabling real-time policy updates and dynamic policy application. The policy lifecycle manager continuously monitors for policy changes, automatically retrieves updated policies from the policy database, and re-applies them to workloads without requiring workload redeployment. This dynamic approach maintains policy stability through automated version control while ensuring the latest policies are always applied across all target environments.
Solution Approach 2:
The system incorporates feedback mechanisms where the policy lifecycle manager continuously monitors workload deployments, policy database updates, and target environment states. When changes are detected, the system automatically triggers policy re-evaluation and re-application, ensuring that policy definitions remain current and consistent across all environments while maintaining stability through automated validation processes.
3Adaptability or versatility
If existing policy management solutions are used, then basic policy application is supported, but custom policies and multi-environment support are lacking
Solution Approach 1:
The system achieves universality by creating a multi-functional policy lifecycle manager that handles diverse policy types (custom, built-in, third-party), multiple target environments (cloud, on-premises, hybrid), and various workload profiles within a single unified architecture. The system can compile and apply different policy formats and enforcement mechanisms across heterogeneous environments, providing comprehensive adaptability without requiring separate management solutions for each policy type or environment.
4Reliability
If developers manually define policies for each workload, then specific control and access rights can be ensured, but the process is time-consuming across multiple environments
Solution Approach 1:
The system enables self-service security control by automatically determining workload profiles from workload metadata and compiling appropriate security policies without manual developer intervention. The policy lifecycle manager autonomously retrieves workload specifications, matches them with predefined profiles, identifies relevant security and access control policies, and applies them across all target environments, ensuring comprehensive security control while eliminating the time-consuming manual process.
Solution Approach 2:
The system performs preliminary action by pre-defining workload profiles with security requirements and pre-compiling applicable policies before workload deployment. This advance preparation allows policies to be automatically applied during deployment without requiring manual security configuration, thus maintaining reliable security control while significantly accelerating workload deployment speed across multiple environments.
Data Source
AI summary
Examples described herein relate to policy management in target environments. A workload attestation request including a workload specification of a workload is received. A workload profile is determined based on the workload specification. A policy stored in a policy database is identified based on the workload profile. An attestation identifier indicating the workload profile is provided in response to the workload attestation request. On receiving a policy request including the attestation identifier from a controller node at a target environment, policies are compiled from the policy database using the attestation identifier, and provided to the controller node, which applies the policy in the target environment.