Size S - Sonatype IQ - AWS Cloud-Native Reference Architecture
Size S - Sonatype IQ - AWS Cloud-Native Reference Architecture
This Sonatype IQ Server small reference architecture describes the recommended infrastructure specifications for deploying a single IQ Server instance in AWS using cloud-native services. It supports environments with 500–1,999 onboarded applications and an expected throughput of approximately 150–220 evaluations per hour, or approximately 3,600–5,280 evaluations per day.
This reference architecture is appropriate for small-to-medium production environments that require increased evaluation throughput, larger application onboarding capacity, and improved infrastructure resilience compared to the XS profile. While this architecture still uses a single IQ Server node, it introduces stronger production recommendations around database resilience and storage scalability.
Infrastructure Specifications
The architecture includes the following layers:
Compute Layer – IQ Server application runtime
Database Layer – PostgreSQL metadata database
Storage Layer – Shared file storage for IQ Server data
Network Layer – Connectivity, access control, and optional load balancing
Compute Layer (IQ Server)
The compute layer hosts the IQ Server application and processes application evaluations, policy evaluations, reports, and related user activity.
This layer meets the following specifications:
Single IQ Server node:
4 vCPU
32 GB RAM
JVM configuration:
-Xms24g-Xmx24g
Example AWS instance types:
r6g.xlargefor ARM-based deploymentsr5.xlargefor x86-based deployments
Database Layer (RDS PostgreSQL)
Amazon RDS provides high-performance database operations and scalable storage for production IQ Server deployments.
This layer meets the following specifications:
Service: Amazon RDS for PostgreSQL 15 or later
Instance class:
db.r6g.largeordb.t4g.large
Database resources:
- 2 vCPU
- 16 GB RAM (
db.r6g.large) or - 8 GB RAM (
db.t4g.large)
Storage:
- 50 GB gp3
- Auto-scaling up to 200 GB
Multi-AZ recommended for production deployments
7-day automated retention for backups
Storage Layer (Amazon EFS)
Amazon EFS provides persistent shared storage for IQ Server operational data, reporting artifacts, and scan-related content.
This layer meets the following specifications:
Service: Amazon EFS
Throughput mode:
- Elastic (recommended) or
- Bursting
Estimated capacity: 100–300 GB
For cost optimization, use lifecycle policies to move infrequently accessed data or files older than 30 days to EFS Infrequent Access
Elastic throughput is recommended for production environments because it automatically scales with workload demand and reduces the risk of throughput bottlenecks during peak evaluation periods.
Network and Security
Typical deployment patterns include the following:
Direct access to the IQ Server node
Optional Application Load Balancer in front of the IQ Server node
Private connectivity between IQ Server, PostgreSQL, and EFS
Apply standard network security practices, including the following:
Security Groups following least-privilege principle
NAT Gateway for outbound internet access
AWS Secrets Manager for credential management
CloudWatch for unified logging and monitoring
Private subnets for database and storage services
Limitations
This architecture has the following limitations:
This architecture supports a single IQ Server instance only. It does not support a multi-instance high-availability deployment.
Increasing scan volume or concurrent evaluations beyond the recommended profile may lead to degraded performance.
While Multi-AZ is recommended for the database layer, the application layer itself is not redundant.
This architecture is not intended for cross-region disaster recovery and does not provide automatic regional failover.
Deploying this Architecture
You can quickly deploy this reference architecture using Sonatype's IQ Terraform configuration for AWS deployments. This automates the creation and configuration of all required AWS resources, including networking, compute, storage, and security components.
For full deployment details, see the README that accompanies the provided Terraform.