Enterprise Features
Advanced S9S capabilities designed for large-scale deployments, enterprise security, and organizational management.
š¢ Overview
S9S Enterprise provides:
- Multi-cluster management
- Role-based access control (RBAC)
- Enterprise authentication integration
- Advanced reporting and analytics
- Priority support with SLA
- Custom integrations and plugins
- Compliance and audit logging
- Cost management and chargeback
š Authentication & Authorization
Enterprise SSO Integration
LDAP/Active Directory:
# Enterprise SSO configuration auth: type: ldap server: ldap://corp.example.com:389 base_dn: "dc=corp,dc=example,dc=com" bind_dn: "cn=s9s,ou=service,dc=corp,dc=example,dc=com" bind_password: "${LDAP_PASSWORD}" user_search: base: "ou=users,dc=corp,dc=example,dc=com" filter: "(&(objectClass=person)(uid={username}))" group_search: base: "ou=groups,dc=corp,dc=example,dc=com" filter: "(&(objectClass=group)(member={user_dn}))"
SAML 2.0:
auth: type: saml idp: entity_id: "https://sso.corp.example.com" sso_url: "https://sso.corp.example.com/saml/sso" certificate: "/etc/s9s/saml/idp.crt" sp: entity_id: "s9s-cluster" acs_url: "https://s9s.corp.example.com/saml/acs" certificate: "/etc/s9s/saml/sp.crt" private_key: "/etc/s9s/saml/sp.key"
OAuth 2.0/OpenID Connect:
auth: type: oidc issuer: "https://auth.corp.example.com" client_id: "s9s-enterprise" client_secret: "${OIDC_CLIENT_SECRET}" scopes: ["openid", "profile", "email", "groups"] user_claim: "preferred_username" group_claim: "groups"
Role-Based Access Control
Role Definitions:
rbac: roles: admin: description: "Full system administration" permissions: - "*:*" # All operations cluster_manager: description: "Cluster management operations" permissions: - "nodes:*" - "partitions:read" - "jobs:read" - "users:read" power_user: description: "Advanced job management" permissions: - "jobs:*" - "nodes:read" - "ssh:own_jobs" - "export:own_data" researcher: description: "Standard researcher access" permissions: - "jobs:submit" - "jobs:manage_own" - "nodes:read" - "ssh:own_jobs" student: description: "Limited student access" permissions: - "jobs:submit" - "jobs:read_own" - "nodes:read" restrictions: - "max_jobs: 10" - "max_cores: 32" - "max_runtime: 24h"
User-Role Mapping:
rbac: assignments: groups: "Domain Admins": ["admin"] "HPC Team": ["cluster_manager"] "Faculty": ["power_user"] "Research Staff": ["researcher"] "Students": ["student"] users: "john.doe": ["admin", "researcher"] "jane.smith": ["cluster_manager"]
šļø Multi-Cluster Management
Cluster Federation
# Multi-cluster configuration clusters: production: name: "Production HPC" url: "https://prod-slurm.corp.com" type: "production" priority: 1 development: name: "Development Cluster" url: "https://dev-slurm.corp.com" type: "development" priority: 2 gpu_cluster: name: "GPU Accelerated" url: "https://gpu-slurm.corp.com" type: "gpu" priority: 1 cloud_burst: name: "Cloud Burst" url: "https://cloud-slurm.corp.com" type: "cloud" priority: 3 auto_scale: true
Cross-Cluster Operations
# View all clusters :clusters Federated Clusters: āāāāāāāāāāāāāāāā¬āāāāāāāāāāāāāā¬āāāāāāāāāāāāā¬āāāāāāāāāāāāāā ā Cluster ā Status ā Nodes ā Queue ā āāāāāāāāāāāāāāāā¼āāāāāāāāāāāāāā¼āāāāāāāāāāāāā¼āāāāāāāāāāāāā⤠ā production ā Online ā 256/256 ā 47 pending ā ā development ā Online ā 64/64 ā 12 pending ā ā gpu_cluster ā Online ā 32/32 ā 23 pending ā ā cloud_burst ā Scaling ā 8/100 ā 156 pending ā āāāāāāāāāāāāāāāā“āāāāāāāāāāāāāā“āāāāāāāāāāāāā“āāāāāāāāāāāāāā # Submit job to specific cluster :submit --cluster=gpu_cluster --gpus=4 ml_training.sh # Cross-cluster job migration :migrate job_12345 --from=development --to=production # Cluster load balancing :balance --target-utilization=80%
š Enterprise Analytics
Advanced Reporting
Executive Dashboard:
:report executive --period=quarter Executive Summary - Q4 2023: āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā ā Key Performance Indicators ā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā⤠ā Cluster Utilization: 82.3% (ā 5.2% vs Q3) ā ā Jobs Completed: 45,672 (ā 12% vs Q3) ā ā User Satisfaction: 94.2% (survey) ā ā System Availability: 99.97% (exceeded SLA) ā ā Cost per Core-Hour: $0.18 (ā $0.02 vs Q3) ā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā Top Resource Consumers: 1. Machine Learning Group - 23.4% of total usage 2. Physics Department - 18.7% of total usage 3. Chemistry Department - 15.2% of total usage Recommendations: ⢠Add 32 GPU nodes to meet ML demand ⢠Optimize job scheduling for better throughput ⢠Consider volume discounts for cloud burst usage
Compliance Reporting:
:report compliance --standard=sox --period=year SOX Compliance Report - 2023: āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā ā Access Control Compliance ā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā⤠ā ā User access reviews completed quarterly ā ā ā Privileged access logged and monitored ā ā ā Failed login attempts tracked and alerted ā ā ā Role segregation enforced ā ā ā Password policy compliance: 98.7% ā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā ā Data Integrity & Security ā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā⤠ā ā Audit logs maintained for 7 years ā ā ā Data backup and recovery tested monthly ā ā ā Encryption in transit and at rest verified ā ā ā ļø 3 security patches pending (non-critical) ā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā
Cost Management
Chargeback System:
# Cost allocation configuration chargeback: enabled: true currency: "USD" billing_period: "monthly" # Resource pricing rates: cpu_hour: 0.05 memory_gb_hour: 0.01 gpu_hour: 2.50 storage_gb_month: 0.10 # Cost centers cost_centers: - name: "Research" code: "RES-001" budget: 50000 departments: ["physics", "chemistry", "biology"] - name: "Teaching" code: "EDU-001" budget: 15000 departments: ["cs_students"] - name: "Industry" code: "IND-001" budget: 100000 rate_multiplier: 1.5 # Premium pricing
Cost Analysis:
:report costs --department=physics --period=month Physics Department - December 2023 Usage: āāāāāāāāāāāāāāāāāā¬āāāāāāāāāāāāāāā¬āāāāāāāāāāāāāā¬āāāāāāāāāāāāāāā ā Resource ā Usage ā Rate ā Cost ā āāāāāāāāāāāāāāāāāā¼āāāāāāāāāāāāāāā¼āāāāāāāāāāāāāā¼āāāāāāāāāāāāāā⤠ā CPU Hours ā 12,547 ā $0.05 ā $627.35 ā ā GPU Hours ā 2,156 ā $2.50 ā $5,390.00 ā ā Memory GB-Hrs ā 89,234 ā $0.01 ā $892.34 ā ā Storage GB ā 15,600 ā $0.10 ā $1,560.00 ā āāāāāāāāāāāāāāāāāā¼āāāāāāāāāāāāāāā¼āāāāāāāāāāāāāā¼āāāāāāāāāāāāāā⤠ā Total ā ā ā $8,469.69 ā ā Budget ā ā ā $12,000.00 ā ā Remaining ā ā ā $3,530.31 ā āāāāāāāāāāāāāāāāāā“āāāāāāāāāāāāāāā“āāāāāāāāāāāāāā“āāāāāāāāāāāāāāā Top Cost Drivers: 1. GPU usage for ML simulations (63.6%) 2. Large memory jobs (10.5%) 3. Long-running simulations (7.4%)
š Security & Compliance
Audit Logging
# Advanced audit configuration audit: enabled: true retention: "7years" # Log destinations destinations: - type: "syslog" server: "audit.corp.example.com:514" protocol: "tls" - type: "elasticsearch" endpoint: "https://logs.corp.example.com:9200" index: "s9s-audit" - type: "file" path: "/var/log/s9s/audit.log" rotate: "daily" compress: true # Event filtering events: authentication: "all" job_operations: "all" admin_actions: "all" data_access: "sensitive_only" configuration_changes: "all"
Audit Dashboard:
:audit dashboard Security Audit Dashboard - Last 24 Hours: āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā ā Authentication Events ā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā⤠ā ā Successful logins: 1,247 ā ā ā ļø Failed logins: 23 (threshold: <50) ā ā š New user accounts: 2 ā ā š Privileged access: 45 events ā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā ā Resource Access ā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā⤠ā Jobs submitted: 456 ā ā SSH connections: 789 ā ā Data exports: 34 ā ā Config changes: 7 (all authorized) ā āāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāāā Security Alerts: ⢠3 failed login attempts from unknown IP (blocked) ⢠1 user exceeded job limit (warning sent) ⢠All privileged operations properly authorized
Data Loss Prevention
# DLP configuration dlp: enabled: true # Data classification classifications: public: export: "allowed" sharing: "allowed" internal: export: "with_approval" sharing: "internal_only" confidential: export: "prohibited" sharing: "need_to_know" encryption: "required" restricted: export: "prohibited" sharing: "prohibited" encryption: "required" access_logging: "all" # Content scanning scanning: enabled: true patterns: - "credit_card_numbers" - "social_security_numbers" - "export_controlled_data" - "personally_identifiable_info"
ā” High Availability
Cluster Resilience
# HA configuration high_availability: enabled: true # Load balancing load_balancer: type: "haproxy" virtual_ip: "10.1.1.100" health_check: "http" failover_time: "30s" # Database replication database: type: "postgresql" replication: "streaming" replicas: 2 auto_failover: true # S9S instances instances: - name: "s9s-primary" node: "mgmt01.corp.com" role: "primary" - name: "s9s-secondary" node: "mgmt02.corp.com" role: "standby" # Monitoring monitoring: health_check_interval: "30s" failover_threshold: "3" notification: - "email:[email protected]" - "slack:#infrastructure"
Disaster Recovery
# DR configuration disaster_recovery: enabled: true # Backup strategy backup: frequency: "daily" retention: "90d" destinations: - "s3://corp-backup/s9s/" - "nfs://backup.corp.com/s9s/" # Recovery procedures recovery: rto: "4h" # Recovery Time Objective rpo: "1h" # Recovery Point Objective procedures: - name: "database_recovery" script: "/opt/s9s/dr/db-recovery.sh" - name: "config_recovery" script: "/opt/s9s/dr/config-recovery.sh" # DR testing testing: frequency: "quarterly" automated: true notification: "[email protected]"
šÆ Performance Optimization
Enterprise Scaling
# Scaling configuration scaling: # Auto-scaling rules auto_scale: enabled: true rules: - metric: "queue_length" threshold: 100 action: "scale_cloud_burst" max_instances: 500 - metric: "cpu_utilization" threshold: 95 duration: "10m" action: "add_nodes" # Resource optimization optimization: job_placement: "intelligent" load_balancing: "advanced" power_management: "enabled" algorithms: - "bin_packing" - "load_awareness" - "affinity_scheduling"
Monitoring & Alerting
# Enterprise monitoring monitoring: # Metrics collection metrics: collection_interval: "10s" retention: "1year" collectors: - "system_metrics" - "application_metrics" - "custom_metrics" # Advanced alerting alerting: channels: - type: "email" recipients: ["[email protected]", "[email protected]"] - type: "slack" webhook: "${SLACK_WEBHOOK}" channel: "#hpc-alerts" - type: "pagerduty" service_key: "${PAGERDUTY_KEY}" rules: - name: "high_queue_length" condition: "queue_length > 200" severity: "warning" - name: "node_failure" condition: "node_down_count > 5" severity: "critical" escalation: "pagerduty"
š Governance
Policy Management
# Governance policies governance: policies: resource_limits: enabled: true limits: student: max_jobs: 10 max_cores_per_job: 16 max_runtime: "24h" max_memory: "64GB" faculty: max_jobs: 50 max_cores_per_job: 256 max_runtime: "7d" industry: max_jobs: 100 max_runtime: "30d" priority_boost: true data_retention: job_history: "2years" audit_logs: "7years" performance_data: "1year" user_data: "as_needed" compliance: standards: ["sox", "hipaa", "gdpr"] reviews: "quarterly" certifications: "annual"
š¼ Enterprise Support
Support Tiers
Enterprise Premium:
- 24/7 phone and email support
- 4-hour response time for critical issues
- Dedicated technical account manager
- Custom integration development
- On-site training and consulting
Enterprise Standard:
- Business hours support (8x5)
- 8-hour response time for critical issues
- Email and chat support
- Standard training materials
- Community forum access
Professional Services
- Implementation Services: Complete deployment and configuration
- Migration Services: Move from existing systems to S9S Enterprise
- Custom Development: Specialized plugins and integrations
- Training Programs: Administrator and user training
- Performance Optimization: Cluster tuning and optimization
š§ Enterprise APIs
Management APIs
# Enterprise API examples from s9s.enterprise import ( MultiClusterAPI, RBACManager, AuditLogger, CostAnalyzer, PolicyEngine ) # Multi-cluster operations clusters = MultiClusterAPI() clusters.balance_load(target_utilization=0.8) clusters.migrate_job(job_id, from_cluster, to_cluster) # RBAC management rbac = RBACManager() rbac.assign_role(user="john.doe", role="power_user") rbac.check_permission(user, action="submit_job", resource="gpu_partition") # Cost analysis costs = CostAnalyzer() monthly_costs = costs.calculate_costs(period="month", group_by="department") costs.generate_chargeback_report(cost_center="research")
š Getting Started
Enterprise Evaluation
# Request enterprise trial s9s enterprise trial --organization="Acme Corp" --contact="[email protected]" # Enable enterprise features (trial) s9s enterprise activate --license-key="${TRIAL_KEY}" # Verify enterprise features s9s enterprise status
Enterprise Deployment
-
Planning Phase:
- Requirements assessment
- Architecture design
- Security review
- Compliance mapping
-
Implementation Phase:
- Infrastructure setup
- Authentication integration
- RBAC configuration
- Monitoring setup
-
Validation Phase:
- Functionality testing
- Performance testing
- Security testing
- User acceptance testing
-
Production Phase:
- Go-live support
- User training
- Ongoing optimization
- Regular health checks
š Enterprise Contact
- Sales: [email protected]
- Support: [email protected]
- Professional Services: [email protected]
- Documentation: Enterprise Docs
- Training: Enterprise Training
š Next Steps
- Contact enterprise sales for evaluation
- Review API documentation for integrations
- Explore plugin development for customizations
- Plan your configuration strategy