Multi tenant SAAS scenario PART 1
- Anand Nerurkar
- May 13
- 4 min read
How do you run DR/BCP for a SaaS platform
Running Disaster Recovery (DR) and Business Continuity Planning (BCP) for a SaaS platform is essential to ensure service availability, data protection, and SLA compliance during outages or disasters (e.g., cloud region failure, ransomware, natural disasters, etc.).
🧩 Key Objectives
Aspect | Goal |
Disaster Recovery | Recover systems/data in alternate region/site |
Business Continuity | Continue critical services during disruptions |
RTO | Recovery Time Objective – how quickly to recover |
RPO | Recovery Point Objective – how much data loss is OK |
🧭 Step-by-Step: DR/BCP Plan for a SaaS Platform
1. Define Recovery Objectives (RTO/RPO) per Tenant Tier
Tenant Tier | RTO | RPO |
Enterprise (Gold) | 1 hour | < 15 min |
SMB (Silver) | 4 hours | 1 hour |
Free (Bronze) | 12+ hrs | 24 hours |
2. Multi-Region or Multi-AZ Deployment
Deploy core SaaS components across multiple regions/zones:
Use Active-Passive or Active-Active architecture
Replicate:
Application containers (AKS/EKS/GKE)
Databases (e.g., PostgreSQL → streaming replication or managed DB failover)
Object storage (e.g., S3 → cross-region replication)
✅ Use Traffic Manager / DNS failover to redirect traffic
3. Tenant-Aware Data Backup & Snapshots
Automated, encrypted daily/hourly backups of:
Tenant databases (logical + physical)
File/object storage
Config/secrets
Backup location: secondary region/cloud
Store backup metadata with tenant_id tags
4. DR Automation & Infrastructure as Code (IaC)
Use Terraform/ARM templates/CloudFormation to redeploy infra quickly
Store DR scripts in version-controlled Git repo
Set up disaster recovery pipelines in CI/CD (Azure DevOps, GitHub Actions)
5. BCP Playbooks & Runbooks
Create documented runbooks for:
DB failover
App traffic rerouting
Tenant-specific restoration
Communication & escalation matrix
Include:
SLA-based prioritization
Point-of-contact list
Escalation flow
6. Regular DR Drills & Simulation Testing
Run quarterly or bi-annual DR simulations
Simulate:
Region outage
DB corruption
Application downtime
Measure:
Actual RTO/RPO achieved
Tenant impact
Time to recovery
📊 Generate DR audit reports
7. Tenant Communication & Incident Management
Integrate with status pages (e.g., statuspage.io)
Send real-time alerts to impacted tenants
Have email/SMS escalation per SLA
8. Observability and Failover Health Checks
Use Prometheus/Grafana for:
Health of primary and secondary regions
Alerting on failover triggers
Set up synthetic monitoring + canary checks
🛡️ Example Tools & Tech Stack
Domain | Tools/Services |
Infra | Azure/AWS/GCP Multi-region, Terraform |
DB | Azure SQL Geo-replication, pglogical, Aurora Global |
Storage | Azure Blob/S3 → Cross-region replication |
DNS | Azure Traffic Manager, Route 53 |
CI/CD | GitHub Actions, Azure DevOps |
Monitoring | Prometheus, Grafana, Azure Monitor |
Comm | StatusPage, Slack API, SMS/email alerts |
💡 Sample DR Architecture (SaaS Platform)
text
┌───────────────┐
│ Global DNS │
└────┬──────────┘
│
┌─────▼────────────┐
│ Traffic Manager │
└────┬───────┬─────┘
┌────▼──┐ ┌─▼──────┐
│Primary│ │Secondary│
│Region │ │ Region │
└────┬──┘ └─────┬───┘
App + DB App + DB
(AKS + SQL) (AKS + Replica)
✅ Checklist for DR/BCP Readiness
RTO/RPO clearly defined per tenant SLA
Multi-region deployment validated
Backups tested & restorable
Infra as Code ready for DR
DR simulation tested quarterly
Status communication pipeline
BCP playbooks documented and known by teams
4o
You said:
How do you implement audit trails for compliance
ChatGPT said:
Implementing audit trails for compliance in a SaaS platform is critical for meeting regulatory requirements (e.g., SOC 2, ISO 27001, HIPAA, GDPR) and providing accountability, traceability, and visibility into system activity.
✅ What Is an Audit Trail?
An audit trail is a secure, tamper-evident log of system activities, including who did what, when, from where, and to what data or resource.
🧱 Key Principles for Audit Trail Implementation
Principle | Description |
Tamper-proof | Logs must be immutable and secured against alteration |
Tenant-aware | Logs must be segregated per tenant for data privacy |
Granular | Track CRUD operations, logins, permission changes, API access, config edits |
Searchable | Logs should be indexed and easily searchable for investigations |
Compliant | Must meet standards like SOC 2, HIPAA, GDPR |
Retainable | Logs must be stored for the required retention period (e.g., 1–7 years) |
🏗️ Implementation Architecture
1. Capture Events
Use AOP (Aspect-Oriented Programming) or filters/interceptors in Spring Boot
Capture:
who (user ID / system)
what (operation name)
when (timestamp)
where (IP, region, service)
which tenant (tenant ID)
payload (optional, sanitized)
java
CopyEdit
@Around("@annotation(Auditable)") public Object auditTrail(ProceedingJoinPoint joinPoint) { String tenantId = TenantContext.getTenantId(); String userId = SecurityContext.getCurrentUser(); String operation = joinPoint.getSignature().getName(); Object result = joinPoint.proceed(); auditService.record(tenantId, userId, operation, LocalDateTime.now(), ...); return result; }
2. Centralized Logging (ELK / Azure Monitor / CloudWatch)
Push audit logs to a central log system, with tenant-level indexing or tagging.
Log Platform | Support for Multi-Tenant Logging |
ELK Stack | Use tenant ID as a log field/index |
Azure Monitor | Use custom dimensions for tenant context |
Datadog/Splunk | Tenant tags, log filters, and dashboards |
3. Secure, Immutable Storage
Store logs in WORM (Write Once Read Many) storage
Encrypt at rest (AES-256) and in transit (TLS)
Access control using RBAC/ABAC
4. Retention & Archiving
Set per-tenant or regulatory policy-based retention
Archive older logs to:
Azure Blob with immutability policy
AWS Glacier
Cold storage tier with access logging
5. Expose Audit APIs / UI
Expose read-only audit log APIs:
http
CopyEdit
GET /api/v1/audit?tenantId=abc&userId=xyz&dateRange=last30days
Enable tenant access to:
View/download logs
Set alerting rules
Generate compliance reports (PDF/CSV)
6. Alerting & Anomaly Detection
Use rules or ML to detect:
Suspicious login patterns
Unauthorized data access
Configuration drift
7. Compliance Mapping (Sample)
Regulation | Audit Requirement |
SOC 2 | User activity logging, access control |
HIPAA | Access to PHI must be logged and monitored |
GDPR | Track who accessed/updated personal data |
PCI-DSS | Audit all administrative and sensitive operations |
📊 Example: Audit Log Entry (JSON)
json
CopyEdit
{ "tenantId": "tenant-123", "userId": "anand.k", "action": "UPDATE_USER_PROFILE", "timestamp": "2025-05-13T10:15:30Z", "resource": "/users/1234", "status": "SUCCESS", "ip": "192.168.10.2", "userAgent": "Mozilla/5.0", "details": { "fieldChanged": "email", "oldValue": "old@example.com", "newValue": "new@example.com" } }
🛠 Tools That Help
Category | Examples |
Log storage | ELK, Azure Monitor, AWS CloudWatch |
Alerting | Prometheus + Alertmanager, Datadog |
Compliance reports | Splunk, SIEM tools, custom dashboards |
Immutable logging | AWS CloudTrail, Azure Activity Logs |
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