Building a dashboard with Docker? Let us review it.
Expert code review for dashboards built with Docker. We fix Docker-specific security gaps, optimize performance, and handle deployment. From $19.
Common Docker issues we find
Real problems from Docker codebases we've reviewed.
Running as root user
Containers running processes as root, so a container breakout gives the attacker root access to the host system.
Secrets baked into image layers
API keys, database passwords, or .env files copied into the Docker image during build, permanently stored in image layers even if deleted later.
Bloated image size
Using full OS base images (ubuntu, node:latest) instead of slim or alpine variants, resulting in 1GB+ images that are slow to pull and deploy.
No multi-stage build
Build dependencies (compilers, dev packages) included in the production image, increasing size and attack surface.
Dashboard challenges to solve
Key dashboard concerns that AI-generated code often misses.
Query performance at scale
AI-generated dashboards run raw database queries on every page load. With thousands of rows, these queries take seconds or minutes instead of milliseconds. You need materialized views, pre-aggregated data, proper indexing, and caching to keep dashboards responsive.
Data accuracy
A dashboard that shows wrong numbers is worse than no dashboard at all. AI tools generate SQL aggregations that look correct but miss edge cases — timezone handling, duplicate records, null values, and off-by-one errors in date ranges produce silently incorrect metrics.
Access control and data exposure
Dashboards display sensitive business data. AI tools often skip role-based access, meaning anyone with the URL can see revenue figures, customer data, or operational metrics. Different team members need different data visibility levels.
Real-time vs. cached data
Some metrics need to be live (active users, system status), while others can be cached (monthly revenue, historical trends). AI tools either make everything real-time (slow, expensive) or everything static (stale). You need a thoughtful caching strategy.
What we check
Key areas we review for Docker dashboard projects.
Query performance — response times under 500ms for all dashboard views
Data accuracy — aggregation logic, timezone handling, null values
Access control — role-based permissions enforced on API and database level
Caching strategy — appropriate refresh intervals for each metric type
Not sure if your app passes? Our code audit ($19) checks all of these and more.
Start with a self-serve audit
Get a professional review of your Docker dashboard project at a fixed price.
External Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 vulnerability check
- SSL/TLS configuration analysis
- Security header assessment
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerability analysis
- Code quality review
- Dependency audit
- Architecture review
- Expert + AI code analysis
Complete Bundle
Both scans in one package with cross-referenced findings.
- Everything in both products
- Cross-referenced findings
- Unified action plan
100% credited toward any paid service. Start with an audit, then let us fix what we find.
How it works
Tell us about your app
Share your project details and what you need help with.
Expert + AI audit
A human expert assisted by AI reviews your code within 24 hours.
Launch with confidence
We fix what needs fixing and stick around to help.
Frequently asked questions
Can you review a dashboard built with Docker?
Yes. We regularly audit Docker dashboard projects and understand the specific patterns and pitfalls of this combination. Our review covers security, performance, and deployment readiness.
What issues do you find in Docker dashboards?
Common issues include running as root user and secrets baked into image layers on the Docker side, combined with dashboard-specific concerns like query performance at scale and data accuracy. We check for all of these and more.
How do I make my Docker dashboard production-ready?
Start with our code audit ($19) to get a prioritized list of issues. For Docker dashboard projects, the typical path is: fix security gaps, address dashboard-specific requirements, optimize Docker performance, then configure deployment. We provide a fixed quote after the audit.
How long does it take to audit a Docker dashboard?
Our code audit delivers a full report within 24 hours. For Docker dashboard projects, we check security, architecture, performance, and deployment readiness across all Docker-specific patterns. Fixes are scoped separately with a fixed quote.
Related resources
Docker by Use Case
Need help with your Docker dashboard?
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.