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Revolutionary AI agent swarm coordination platform with Google Services integration, multimedia processing, and production-ready monitoring. Features 8 Google AI services, quantum computing capabilities, and enterprise-grade security.

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# Google Services Operations Runbooks ## Overview This directory contains comprehensive operations runbooks and deployment documentation for Google Services in the Gemini-Flow platform. These runbooks are designed to achieve 99.9% uptime through SRE best practices, automation, and proactive monitoring. ## Directory Structure ``` operations/ ├── README.md # This file ├── service-operations/ # Service operation guides ├── startup-shutdown.md # Service lifecycle procedures ├── configuration-management.md # Config management best practices ├── capacity-planning.md # Resource planning guidelines ├── performance-tuning.md # Performance optimization procedures └── troubleshooting/ # Troubleshooting decision trees ├── incident-response/ # Incident management playbooks ├── service-degradation.md # Service performance issues ├── data-breach.md # Security incident procedures ├── ddos-mitigation.md # DDoS attack response ├── rollback-procedures.md # Emergency rollback steps └── communication-templates/ # Incident communication templates ├── maintenance/ # Planned maintenance procedures ├── planned-maintenance.md # Maintenance window procedures ├── database-migrations.md # Database update scripts ├── cache-invalidation.md # Cache management procedures ├── certificate-renewal.md # SSL/TLS certificate automation └── dependency-updates.md # Library and service updates ├── team-documentation/ # Team and training materials ├── on-call-setup.md # On-call rotation configuration ├── escalation-matrix.md # Team escalation procedures ├── knowledge-base/ # Technical knowledge articles ├── training-materials/ # Training and onboarding docs └── adrs/ # Architecture Decision Records ├── automation/ # Automation scripts and tools ├── deployment/ # Deployment automation ├── monitoring/ # Monitoring and alerting ├── backup-restore/ # Backup and recovery scripts └── health-checks/ # Service health verification └── sre-metrics/ # SRE metrics and dashboards ├── slos-slis.md # Service Level Objectives/Indicators ├── error-budgets.md # Error budget tracking └── monitoring-dashboards/ # Grafana/monitoring configurations ``` ## SRE Principles ### Four Golden Signals 1. **Latency** - Response time for successful and failed requests 2. **Traffic** - Request rate and user activity patterns 3. **Errors** - Rate of failed requests and error types 4. **Saturation** - Resource utilization and capacity constraints ### Service Level Objectives (SLOs) - **Availability**: 99.9% uptime (8.77 hours downtime/year) - **Latency**: - Text Generation: < 100ms p95 - Multimodal Streaming: < 500ms p95 - AgentSpace Operations: < 200ms p95 - **Throughput**: Handle 10,000 concurrent requests - **Error Rate**: < 0.1% error rate ## Quick Reference ### Emergency Contacts - **On-Call Engineer**: Use PagerDuty rotation - **Escalation Manager**: TBD - **Security Team**: security@company.com - **Google Cloud Support**: Case routing via console ### Critical Procedures - [Service Startup/Shutdown](#service-operations) - [Incident Response](#incident-response) - [Emergency Rollback](#rollback-procedures) - [Performance Degradation](#troubleshooting) ## Getting Started 1. **New Team Members**: Start with [Team Documentation](team-documentation/) 2. **Operations Engineers**: Review [Service Operations](service-operations/) 3. **Incident Response**: Familiarize with [Incident Playbooks](incident-response/) 4. **Development Teams**: Check [Maintenance Procedures](maintenance/) ## Contributing When updating runbooks: 1. Follow the [Runbook Standards](team-documentation/runbook-standards.md) 2. Test all procedures in staging environment 3. Update automation scripts accordingly 4. Review with SRE team before merging --- **Last Updated**: August 14, 2025 **Next Review**: November 14, 2025 **Owner**: SRE Team **Version**: 1.0