Secure Architecture with Atlantis SQL Everywhere: Design Patterns and Compliance
Overview
This article explains secure architectural patterns and compliance considerations for deploying Atlantis SQL Everywhere (ASE) — a distributed SQL platform that provides global data access. It assumes a production deployment spanning multiple regions and tenants and focuses on minimizing attack surface, enforcing least privilege, protecting data in transit and at rest, and meeting common regulatory obligations (e.g., GDPR, HIPAA, PCI DSS).
Threat model & goals
- Assumed threats: external attackers, compromised cloud accounts, misconfigured services, insider misuse.
- Security goals: confidentiality, integrity, availability, auditability, and regulatory compliance.
Core design principles
- Zero Trust networking: never implicitly trust network location; authenticate and authorize every request.
- Defense in depth: multiple control layers (network, host, application, data).
- Least privilege: minimal permissions for services, users, and automation.
- Immutable infrastructure: treat servers and containers as cattle; use IaC and automated deployments.
- Separation of duties: distinct roles for DBAs, SREs, security, and compliance teams.
Secure network architecture
- Private networking: deploy ASE nodes in private subnets with no public IPs.
- Layered segmentation: separate control plane, data plane, and management plane using VPCs/subnets and security groups.
- Service mesh / mTLS: require mutual TLS between ASE components and client applications to authenticate and encrypt traffic.
- Bastion and jump hosts: restrict admin access via hardened bastions with multifactor authentication (MFA) and session recording.
- DDoS protection & WAF: use cloud-native DDoS mitigation and WAF for any exposed endpoints (e.g., admin APIs).
Identity, authentication & authorization
- Federated identity: integrate ASE with enterprise identity provider (OIDC/SAML) for SSO and centralized user lifecycle.
- Strong auth: enforce MFA for interactive users and use short-lived credentials for services.
- RBAC & ABAC: implement role-based access control for admin/UI actions; apply attribute-based policies for fine-grained data access (e.g., tenant, environment).
- Secrets management: rotate and centrally store DB credentials, TLS keys, and API keys in a secrets manager (HashiCorp Vault, AWS Secrets Manager). Use auto-generated short-lived DB credentials where supported.
Data protection
- Encryption in transit: TLS 1.2+ everywhere; prefer TLS 1.3. Terminate TLS only at trusted endpoints; use mTLS for internal traffic.
- Encryption at rest: enable strong AES-256 encryption for data volumes and backups; use KMS with per-environment keys and strict key rotation policies.
- Field-level encryption / tokenization: for highly sensitive fields (PII, PAN, PHI) apply additional encryption at the application or DB client layer so plaintext never resides in the DB unless necessary.
- Data minimization & retention: limit stored PII, apply retention policies, and enforce deletion workflows to meet GDPR/CCPA.
Secure configuration & hardening
- Minimal attack surface: disable unused ports, services, and features.
- Hardened images: build OS/container images with CIS benchmarks and automated scanning.
- Configuration as code: store ASE configuration in IaC with peer review; detect drift via automated checks.
- Patch management: automated, tested patch deployment with rolling upgrades to avoid downtime.
Operational security controls
- Logging & monitoring: centralize logs (audit, query, auth) to an immutable SIEM. Capture detailed DB audit logs: schema changes, user grants, admin actions, failed logins.
- Alerting & runbooks: map critical alerts to runbooks; test incident response periodically.
- Backups & recovery: encrypted, geo-redundant backups with periodic restore tests; maintain RTO/RPO objectives.
- Anomaly detection: apply behavioral analytics to detect unusual queries, privilege escalations, or data exfiltration.
Compliance mapping
- GDPR: data mapping, lawful basis for processing, data subject access request workflows, data minimization, DPIA for high-risk processing, and cross-border transfer controls (SCCs, adequacy). Use pseudonymization and strong access controls.
- HIPAA: implement technical safeguards (access controls, audit controls, integrity controls, person/entity authentication) and BAAs with cloud providers. Encrypt PHI at rest/in transit and limit PHI access to authorized roles.
- PCI DSS: isolate cardholder environments, log access to CHD, use strong cryptography, and maintain segmentation validation to reduce scope.
- ISO 27001 / SOC 2: implement ISMS controls, evidence collection (change logs, access reviews), and continuous control monitoring.
Design patterns
- Proxy + Authz layer: place an authorization proxy in front of ASE that enforces ABAC policies and request-level masking/ducktyping for tenant isolation.
- Row-level security (RLS): implement RLS policies per-tenant where supported to enforce data segregation within a shared schema.
- Read replicas & regional shards: limit replicas’ privileges (read-only), encrypt replication channels, and apply region-specific data residency controls.
- Service accounts with short-lived tokens: replace long-lived DB users with service tokens issued per job and automatically revoked.
- Audit-only mode: run new security rules in audit mode first to evaluate false positives before enforcement.
Example implementation checklist
- Network: private subnets, security groups, mTLS, bastion with MFA.
- Identity: OIDC SSO, MFA, RBAC, short-lived service creds.
- Encryption: TLS 1.3, AES-256 at rest, KMS with rotation.
- Secrets: central secrets manager, automated rotation.
- Logging: central SIEM, DB audit logs, immutable storage.
- Backups: encrypted, tested restores, geo-redundancy.
- Compliance: data mapping, DPIAs, BAAs/SCCs, retention policies.
- Automation: IaC, CI/CD, configuration drift detection.
Testing and validation
- Penetration testing: periodic internal and external pentests; coordinate with platform vendor for scope.
- Red team exercises: simulate insider and external attacks focusing on lateral movement.
- Compliance audits: schedule SOC 2/ISO audits and internal control self-assessments.
- Chaos engineering: test failure modes for availability and secure failover behaviors.
Conclusion
A secure ASE deployment combines zero-trust networking, strong identity controls, robust encryption, least-privilege patterns, and operational monitoring mapped to compliance requirements. Implement layered defenses, automate configuration and secrets handling, and validate controls regularly through testing and audits to maintain security posture and regulatory alignment.