Skip to main content
Glama
POLICY_AS_CODE.mdβ€’17 kB
# ARC Policy as Code > **πŸš€ Enterprise-grade policy management for GitHub Actions Runner Controller** > > Transform ARC governance from manual processes to automated, code-driven policy enforcement with comprehensive compliance frameworks and AI-powered policy optimization. ## 🎯 Overview ARC Policy as Code enables organizations to define, validate, and enforce governance policies for GitHub Actions Runner Controller infrastructure through declarative configuration files. This approach ensures consistent security, compliance, and operational standards across all ARC deployments. ## πŸ—οΈ Policy Architecture ``` β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β” β”‚ Policy Engine Architecture β”‚ β”œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€ β”‚ πŸ“‹ Policy Definition β”‚ YAML/JSON declarative config β”‚ β”‚ πŸ” Policy Validation β”‚ Real-time compliance checks β”‚ β”‚ πŸ›‘οΈ Policy Enforcement β”‚ Automated remediation β”‚ β”‚ πŸ“Š Policy Reporting β”‚ Compliance dashboards β”‚ β”‚ πŸ€– Policy Optimization β”‚ AI-powered recommendations β”‚ β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜ ``` ## πŸ“‹ Policy Categories ### πŸ”’ Security Policies Enforce security best practices across all ARC components: ```yaml # Security policy example apiVersion: arc.policy/v1 kind: SecurityPolicy metadata: name: production-security spec: containerSecurity: allowPrivileged: false runAsNonRoot: true readOnlyRootFilesystem: true allowedCapabilities: [] networkSecurity: networkPolicies: required allowedCIDRs: ["10.0.0.0/8", "172.16.0.0/12"] egressControl: strict imageSecurity: allowedRegistries: - "ghcr.io/actions/*" - "gcr.io/company-registry/*" scanRequired: true vulnerabilityThreshold: "medium" secretManagement: encryptionAtRest: required rotationPolicy: "90d" accessLogging: enabled ``` ### πŸ“Š Compliance Policies Meet regulatory and organizational compliance requirements: ```yaml # SOC2 compliance policy apiVersion: arc.policy/v1 kind: CompliancePolicy metadata: name: soc2-compliance spec: framework: "SOC2" controls: CC6.1: # Logical and Physical Access Controls description: "The entity implements logical access security software" requirements: - rbacEnabled: true - auditLogging: comprehensive - accessReview: quarterly CC6.7: # Data Transmission and Disposal description: "The entity restricts the transmission of data" requirements: - tlsRequired: true - dataEncryption: "AES-256" - secureDelete: enabled CC7.1: # System Monitoring description: "The entity monitors system components" requirements: - monitoringEnabled: true - alerting: configured - incidentResponse: automated ``` ### ⚑ Performance Policies Optimize resource utilization and performance characteristics: ```yaml # Performance optimization policy apiVersion: arc.policy/v1 kind: PerformancePolicy metadata: name: performance-optimization spec: resourceLimits: cpu: min: "100m" max: "2000m" default: "500m" memory: min: "256Mi" max: "4Gi" default: "1Gi" scalingPolicy: minReplicas: 1 maxReplicas: 20 targetUtilization: 70 scaleUpPeriod: "30s" scaleDownPeriod: "300s" performanceTargets: startupTime: "60s" jobCompletionTime: "300s" resourceEfficiency: 85 ``` ### πŸ’° Cost Policies Control and optimize infrastructure costs: ```yaml # Cost optimization policy apiVersion: arc.policy/v1 kind: CostPolicy metadata: name: cost-optimization spec: budgetLimits: monthly: "$5000" daily: "$200" alertThreshold: 80 resourceOptimization: idleTimeout: "15m" weekendScaling: 0.3 # 30% of weekday capacity nightScaling: 0.5 # 50% of day capacity costAllocation: tagging: required chargeback: enabled reportingFrequency: "weekly" wasteDetection: underutilizedThreshold: 20 oversizedThreshold: 90 autoRightsize: true ``` ### πŸ› οΈ Operational Policies Ensure operational excellence and reliability: ```yaml # Operational excellence policy apiVersion: arc.policy/v1 kind: OperationalPolicy metadata: name: ops-excellence spec: monitoring: metricsCollection: required loggingLevel: "info" healthChecks: enabled slaTargets: availability: "99.9%" responseTime: "2s" backup: configBackup: daily retentionPeriod: "30d" crossRegion: true maintenance: maintenanceWindow: "Sunday 02:00-04:00 UTC" autoUpdates: security-only rollbackStrategy: automatic documentation: changeLog: required runbooks: current architectureDiagrams: updated ``` ## πŸŽ›οΈ Policy Configuration ### πŸš€ Quick Start: Generate Your Policy Config The easiest way to get started with policy configuration is using the **policy generator tool**: ```bash # Generate a basic policy config arc_generate_policy_config \ --organization "my-org" \ --environment "production" \ --requirements "Strict security, cost optimization" # Generated: configs/policies/arc-policy-config.json # Auto-discovered by arc_validate_policies! ``` **Benefits:** - βœ… Intelligent defaults based on your requirements - βœ… Environment-specific configurations - βœ… Auto-discovered (no path specification needed) - βœ… Git-friendly (configs/ folder structure) **Learn more:** See [POLICY_VALIDATION.md](POLICY_VALIDATION.md#policy-configuration-generator-tool) for full documentation. --- ### Policy File Structure ```yaml # Complete policy configuration example apiVersion: arc.policy/v1 kind: PolicyConfiguration metadata: name: enterprise-arc-policy namespace: arc-system labels: environment: production compliance: soc2 spec: # Global policy settings enforementMode: "strict" # strict|advisory|monitoring validationWebhook: enabled policyViolationActions: - alert - block - remediate # Policy includes includes: - security-policy.yaml - compliance-policy.yaml - performance-policy.yaml - cost-policy.yaml - operational-policy.yaml # Environment-specific overrides environments: development: enforementMode: "advisory" autoRemediation: false staging: enforementMode: "strict" autoRemediation: true production: enforementMode: "strict" autoRemediation: false # Manual approval required # Exception handling exceptions: - policy: "security.privileged-containers" reason: "Database initialization requires privileges" approver: "security-team@company.com" expiry: "2024-06-01" ``` ### Policy Validation Rules #### Security Validation ```yaml # Security validation rules securityRules: - name: "no-privileged-containers" description: "Containers must not run in privileged mode" severity: "critical" rule: | spec.template.spec.containers[*].securityContext.privileged != true - name: "required-security-context" description: "All containers must have security context defined" severity: "high" rule: | spec.template.spec.containers[*].securityContext != null - name: "non-root-user" description: "Containers must run as non-root user" severity: "high" rule: | spec.template.spec.containers[*].securityContext.runAsNonRoot == true ``` #### Resource Validation ```yaml # Resource validation rules resourceRules: - name: "cpu-limits-required" description: "CPU limits must be specified" severity: "medium" rule: | spec.template.spec.containers[*].resources.limits.cpu != null - name: "memory-limits-required" description: "Memory limits must be specified" severity: "medium" rule: | spec.template.spec.containers[*].resources.limits.memory != null - name: "resource-ratios" description: "Resource requests should be reasonable relative to limits" severity: "low" rule: | spec.template.spec.containers[*].resources.requests.cpu <= spec.template.spec.containers[*].resources.limits.cpu * 0.8 ``` ## πŸ€– AI-Powered Policy Management ### Intelligent Policy Generation ```yaml # AI policy generation configuration apiVersion: arc.policy/v1 kind: PolicyGeneration metadata: name: ai-policy-assistant spec: aiEngine: provider: "openai" model: "gpt-4" analysisScope: - existing-configurations - security-vulnerabilities - compliance-requirements - performance-metrics - cost-patterns generationRules: - analyzeWorkloadPatterns: true - suggestOptimizations: true - identifyGaps: true - recommendBestPractices: true outputFormat: - yaml-policies - markdown-documentation - remediation-scripts - compliance-reports ``` ### Policy Optimization Engine ```yaml # Policy optimization configuration apiVersion: arc.policy/v1 kind: PolicyOptimization metadata: name: policy-optimizer spec: optimizationTargets: - security-posture - compliance-coverage - operational-efficiency - cost-effectiveness learningData: violationHistory: 90d performanceMetrics: 30d costData: 180d incidentData: 365d recommendations: frequency: weekly autoApply: false confidenceThreshold: 0.85 feedback: collectUserFeedback: true trackEffectiveness: true improveRecommendations: true ``` ## πŸ”§ Policy Implementation ### MCP Tool Integration Use ARC MCP tools to manage policies programmatically: ```typescript // Generate policies using AI const policyGeneration = await mcpClient.call("arc_generate_policies", { organization: "my-company", compliance_framework: "SOC2", security_level: "strict", environment: "production" }); // Validate existing configuration const validation = await mcpClient.call("arc_validate_policies", { policy_file: "enterprise-arc-policy.yaml", scope: "production", severity_filter: "critical" }); // Apply policy recommendations const optimization = await mcpClient.call("arc_optimize_policies", { analysis_period: "30d", apply_recommendations: true, confidence_threshold: 0.8 }); ``` ### GitOps Integration Integrate policy management with GitOps workflows: ```yaml # GitOps policy workflow name: ARC Policy Management on: push: paths: ['policies/**'] schedule: - cron: '0 0 * * 0' # Weekly policy review jobs: validate-policies: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - name: Validate Policy Syntax uses: ./actions/validate-policies with: policy-directory: ./policies - name: Security Scan uses: ./actions/policy-security-scan with: policies: ./policies/**/*.yaml - name: Compliance Check uses: ./actions/compliance-validation with: framework: SOC2 policies: ./policies apply-policies: needs: validate-policies if: github.ref == 'refs/heads/main' runs-on: ubuntu-latest steps: - name: Deploy Policies uses: ./actions/deploy-arc-policies with: cluster: production policies: ./policies dry-run: false ``` ## πŸ“Š Policy Monitoring & Reporting ### Real-time Compliance Dashboard Monitor policy compliance in real-time: ```yaml # Compliance monitoring configuration apiVersion: arc.policy/v1 kind: ComplianceMonitoring metadata: name: compliance-dashboard spec: monitoring: realTimeValidation: true alerting: enabled reportingFrequency: daily dashboards: - name: "Security Posture" metrics: - policy-violations-by-severity - security-scan-results - access-control-effectiveness - name: "Compliance Status" metrics: - soc2-control-compliance - audit-readiness-score - exception-tracking - name: "Cost Optimization" metrics: - cost-policy-violations - resource-optimization-opportunities - budget-utilization ``` ### Automated Reporting Generate comprehensive compliance reports: ```typescript // Generate compliance report const complianceReport = await mcpClient.call("arc_generate_compliance_report", { framework: "SOC2", time_period: "monthly", include_remediation: true, format: "pdf", recipients: ["compliance@company.com", "security@company.com"] }); // Schedule automated reports const reportSchedule = await mcpClient.call("arc_schedule_reports", { reports: [ { type: "security-posture", frequency: "weekly", recipients: ["security-team@company.com"] }, { type: "cost-optimization", frequency: "monthly", recipients: ["finops@company.com"] } ] }); ``` ## πŸ› οΈ Advanced Policy Features ### Dynamic Policy Adjustment Automatically adjust policies based on environment and workload: ```yaml # Dynamic policy configuration apiVersion: arc.policy/v1 kind: DynamicPolicy metadata: name: adaptive-policies spec: triggers: - name: "high-load-scaling" condition: "cpu_utilization > 80%" adjustments: maxReplicas: "*2" resourceLimits: "+50%" - name: "security-incident" condition: "security_alert == 'critical'" adjustments: enforementMode: "strict" networkPolicies: "deny-all" auditLogging: "verbose" - name: "cost-optimization" condition: "budget_utilization > 90%" adjustments: autoScaling: "aggressive" idleTimeout: "5m" weekendScaling: "0.1" ``` ### Policy Testing Framework Test policies before deployment: ```yaml # Policy testing configuration apiVersion: arc.policy/v1 kind: PolicyTest metadata: name: security-policy-tests spec: testSuites: - name: "Security Compliance" tests: - name: "Privileged containers blocked" input: "./test-data/privileged-pod.yaml" expectedResult: "blocked" - name: "Valid security context passes" input: "./test-data/secure-pod.yaml" expectedResult: "allowed" - name: "Resource limits enforced" input: "./test-data/unlimited-pod.yaml" expectedResult: "blocked" automation: runOnPolicyChange: true runOnSchedule: "0 2 * * *" # Daily at 2 AM reportResults: true ``` ## πŸš€ Getting Started with Policy as Code ### 1. Initial Policy Setup ```bash # Generate starter policies arc_generate_policies \ --organization "my-company" \ --compliance "SOC2" \ --security-level "standard" \ --output "./policies/" # Validate generated policies arc_validate_policies \ --policy-directory "./policies/" \ --dry-run # Apply policies to cluster arc_apply_policies \ --policy-directory "./policies/" \ --cluster "production" \ --enforce ``` ### 2. Continuous Policy Management ```bash # Monitor policy compliance arc_policy_status \ --dashboard \ --alerts-enabled # Optimize policies based on usage arc_optimize_policies \ --analysis-period "30d" \ --apply-recommendations \ --confidence-threshold 0.8 # Generate compliance report arc_compliance_report \ --framework "SOC2" \ --format "pdf" \ --email "compliance@company.com" ``` ## πŸ“š Policy Examples & Templates ### Industry-Specific Templates - **Financial Services**: FFIEC, PCI-DSS compliance - **Healthcare**: HIPAA, HITECH requirements - **Government**: FedRAMP, FISMA standards - **Manufacturing**: ISO 27001, SOX compliance ### Environment Templates - **Development**: Permissive policies for rapid iteration - **Staging**: Production-like policies with some flexibility - **Production**: Strict enforcement with minimal exceptions ### Workload Templates - **CI/CD Pipelines**: Optimized for build performance - **Web Applications**: Security-focused with performance balance - **Data Processing**: Resource optimization with compliance - **Machine Learning**: GPU resource management with security --- <div align="center"> **πŸš€ Ready to implement Policy as Code?** [Quick Start Guide](./QUICKSTART.md) β€’ [Policy Templates](../templates/) β€’ [Compliance Frameworks](./COMPLIANCE_FRAMEWORKS.md) *Transform ARC governance from manual processes to automated policy excellence* ✨ </div>

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/tsviz/arc-config-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server