Performance for your Amazon Q Developer-built Spring Boot app

Expert performance for Spring Boot apps built with Amazon Q Developer. We audit Amazon Q Developer-generated Spring Boot code for performance issues. From $19.

Amazon Q Developer issues we find in Spring Boot projects

Problems specific to Amazon Q Developer's code generation patterns when building Spring Boot apps.

highSecurity

Overly permissive IAM policies generated with wildcard actions and resources

Amazon Q often generates IAM policies with `*` wildcards for actions or resources as a starting point, which violates the principle of least privilege. These policies should be scoped to specific actions and resource ARNs before being applied in production.

highPerformance

Lambda cold start latency not addressed in generated function configurations

Generated Lambda functions use default memory and timeout settings without considering cold start impact. Functions with heavy initialization code (loading models, establishing DB connections) need provisioned concurrency or memory tuning, which Amazon Q does not configure.

mediumDeployment

Generated CDK code creates AWS resources without cost estimation or tagging

Amazon Q CDK suggestions deploy resources without cost-tracking tags or budget guardrails, making it easy to inadvertently provision expensive resources (NAT gateways, multi-AZ RDS instances) without visibility into the cost impact.

Spring Boot performance issues we check for

Performance-specific Spring Boot problems that need attention before production.

performance

N+1 queries in JPA/Hibernate

Lazy-loaded entity relationships fetched inside loops, generating hundreds of individual SQL queries instead of proper JOIN FETCH or EntityGraph queries.

performance

Blocking calls in WebFlux

Mixing blocking JDBC calls with reactive WebFlux endpoints, exhausting the small event loop thread pool and freezing the application.

What our performance covers

Everything included when we performance your Amazon Q Developer Spring Boot project.

Profile and eliminate unnecessary re-renders in your Amazon Q Developer Spring Boot app
Optimize Spring Boot bundle size with code splitting and tree shaking
Improve database query performance and add caching to your Spring Boot backend
Fix Core Web Vitals and page load speed for your Amazon Q Developer-built Spring Boot project

Start with a self-serve audit

Get a professional performance of your Amazon Q Developer Spring Boot project at a fixed price.

External Security Scan

Black-box review of your public-facing app. No code access needed.

$19
  • OWASP Top 10 vulnerability check
  • SSL/TLS configuration analysis
  • Security header assessment
  • Expert review within 24h
Get Started

Code Audit

In-depth review of your source code for security, quality, and best practices.

$19
  • Security vulnerability analysis
  • Code quality review
  • Dependency audit
  • Architecture review
  • Expert + AI code analysis
Get Started
Best Value

Complete Bundle

Both scans in one package with cross-referenced findings.

$29$38
  • Everything in both products
  • Cross-referenced findings
  • Unified action plan
Get Started

100% credited toward any paid service. Start with an audit, then let us fix what we find.

How it works

Three steps to get your Amazon Q Developer Spring Boot app production-ready.

1

Tell us about your app

Share your project details and what you need help with.

2

Expert + AI audit

A human expert assisted by AI reviews your code within 24 hours.

3

Launch with confidence

We fix what needs fixing and stick around to help.

Frequently asked questions

Can you performance my Amazon Q Developer-built Spring Boot app?

Yes. We regularly handle performance for Spring Boot projects built with Amazon Q Developer. We understand Amazon Q Developer's code patterns and the specific Spring Boot issues they introduce. Our review covers the full stack from frontend to backend.

What Spring Boot performance issues does Amazon Q Developer typically create?

Common performance issues in Amazon Q Developer-generated Spring Boot code include: overly permissive iam policies generated with wildcard actions and resources, lambda cold start latency not addressed in generated function configurations, generated cdk code creates aws resources without cost estimation or tagging. On the Spring Boot side, we often find: n+1 queries in jpa/hibernate, blocking calls in webflux.

How much does performance cost for a Amazon Q Developer Spring Boot project?

Start with our $19 automated audit to get a prioritized list of issues. For hands-on performance work on Amazon Q Developer-built Spring Boot projects, we provide a fixed quote after reviewing the audit results. No surprises.

Get performance for your Amazon Q Developer Spring Boot app

Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.

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