Learn OPA-REGO with Real Code Examples
Updated Nov 27, 2025
Architecture
OPA runs as a sidecar, daemon, or service
Policies written in Rego are loaded into OPA
Applications query OPA via REST API or SDK
OPA evaluates policies using input JSON data
Decision logs capture outcomes for audit and compliance
Rendering Model
Application -> JSON input -> OPA -> Policy evaluation -> Decision
Policies written in Rego
Decision logs capture results
Policies can be bundled and distributed
Supports dynamic, real-time evaluation
Architectural Patterns
Sidecar integration for service-specific policies
Centralized OPA service for multi-service governance
Kubernetes admission control via Gatekeeper
Policy bundles for versioned deployments
Decision logging for auditing and compliance
Real World Architectures
Kubernetes admission control for enterprise clusters
Centralized API authorization service for microservices
CI/CD pipeline compliance checks
Multi-cloud infrastructure governance
Auditable policy enforcement for regulatory compliance
Design Principles
Decoupled policy enforcement
Declarative, version-controlled policies
Centralized decision-making
Cloud-native and platform-agnostic
Auditable and observable enforcement
Scalability Guide
Deploy OPA as sidecar per service or centralized service
Use bundles for consistent versioned policies
Optimize policy evaluation for large datasets
Cache frequent queries to reduce latency
Monitor resource usage for high-volume systems
Migration Guide
Convert imperative access control to Rego policies
Deploy OPA in test environment
Integrate decision queries with applications
Enable auditing and logging
Refine policies iteratively for coverage and correctness