Resilience & Recovery

Business Continuity & Disaster Recovery

MarketMind AI maintains an enterprise-grade Business Continuity and Disaster Recovery (BCDR) framework designed to guarantee high availability, eliminate single points of failure (SPOF), and preserve state integrity across all multi-agent AI orchestration layers, API proxies, and vector memory stores.

Last Updated: August 2026

1. Target Recovery Metrics (RPO & RTO)

System workloads are categorized by operational impact and assigned strict Recovery Point Objectives (RPO) and Recovery Time Objectives (RTO):

Workload / LayerCriticalityRPORTORecovery Mechanism
LiteLLM API Gateway ProxyTier 1 (Mission Critical)0 minutes (Stateless)< 15 minutesActive-Active Multi-Zone Cloud Run Routing
Vector Memory & Tenant DB (pgvector)Tier 1 (Mission Critical)< 5 minutes< 1 hourRegional HA Cloud SQL + PITR
Agent State & Pub/Sub Event BusTier 1 (Mission Critical)0 minutes< 15 minutesSynchronous Multi-Zone Message Redundancy
Caching & Rate-Limiting (Memorystore)Tier 2 (Operational)0 minutes (Ephemeral)< 15 minutesMulti-Zone Memorystore HA with Automatic Failover
Secrets & System ConfigurationTier 2 (Operational)< 1 hour< 2 hoursSecret Manager Multi-Region Sync & GitOps State

2. Resilience Architecture & High Availability (HA)

Stateless Compute Layer

All orchestration engines, LiteLLM gateway proxies, and Model Context Protocol (MCP) tool nodes execute on Google Cloud Run with automatic multi-zone load balancing. A single-zone failure triggers instantaneous traffic shift without session loss.

Database High Availability

Primary Cloud SQL (pgvector) instances operate in a synchronous, regional High Availability (HA) configuration with automated cross-zone failover (< 60-second recovery).

Caching & Rate-Limiting HA

Google Memorystore (Valkey) operates in High Availability mode with automatic multi-zone failover. Cache and rate-limit state are ephemeral and reconstructable, so a cache node failure degrades latency briefly without data loss or throttling disruption.

Infrastructure as Code (IaC)

100% of network topology, VPC Service Controls, IAM policies, and service declarations are managed in Terraform. Secondary region environments can be spun up deterministically via automated CI/CD pipelines.

Global Egress & Health Probing

External API traffic routes through Cloudflare with active health checks to seamlessly pivot DNS endpoints during major cloud provider regional disruptions.

3. Backup Protocols & Data Retention

Point-in-Time Recovery (PITR)

Transaction logs for Cloud SQL databases are continuously written and archived, enabling second-by-second data restoration up to 30 days prior.

Immutable Cross-Region Vaults

Automated daily database snapshots are replicated to air-gapped, immutable Cloud Storage vaults in a secondary GCP region. Retention locks enforce write-once-read-many (WORM) policies to resist unauthorized modification or ransomware attacks.

Tenant Memory Isolation

Embedded context vectors in pgvector are backed up using isolated schema snapshots, ensuring individual tenant data can be restored cleanly without affecting co-located datasets.

4. Disaster Recovery Playbook Scenarios

Outage ScenarioOperational ImpactDisaster Recovery Action
Zonal Data Center FailureLoss of compute/storage in one primary zone.Automated GCP load balancer failover for compute; Cloud SQL automatically promotes standby replica (< 60s).
Full Primary Region OutageComplete unavailability of primary cloud region.CI/CD triggers automated Terraform deployment to secondary region; database restored via cross-region replica or snapshot (< 1 hr).
Data Corruption / RansomwareCompromised database state or malicious modification.Freeze current DB connections, isolate audit logs, and execute Cloud SQL PITR to the exact timestamp prior to corruption (< 2 hrs).

5. Verification, Auditing & Drills

Automated Recovery Drills

Semi-annual tabletop exercises and automated secondary-region spin-up drills using Terraform to test complete environment restoration from cold storage.

Chaos Engineering

Quarterly simulated zonal network cuts to validate database failover performance and health-check re-routing under live load.

Continuous Monitoring

GCP Cloud Monitoring and Cloud Audit Logs continually evaluate RPO/RTO compliance and send real-time alerts if replication lag exceeds threshold limits.

This BCDR summary is provided for informational purposes and represents MarketMind AI's current operational framework. Actual recovery times may vary based on incident scope and severity. This document does not constitute a binding service level commitment — binding metrics are governed by the executed Service Level Agreement (SLA).

Questions about resilience or recovery? Contact us at security@marketmindai.cloud