Built with Pythagora? Deploy it to Google Cloud Platform.
Step-by-step deployment help for Pythagora-built apps on Google Cloud Platform. We fix deployment issues, configure Google Cloud Platform correctly, and get your app live in production. From $19.
Pythagora issues we fix before deploying
Problems specific to Pythagora's code generation that affect Google Cloud Platform deployments.
Weak input validation
Pythagora validates inputs at the UI level but often skips server-side validation, allowing malicious requests to bypass frontend checks.
Insecure session management
Sessions and tokens are sometimes stored insecurely or don't expire properly, allowing unauthorized access to persist.
Step-by-step accumulation of bugs
Each development step is reviewed individually, but the interaction between steps can introduce bugs that aren't visible in isolation.
Redundant code from iterations
Pythagora's iterative approach sometimes leaves behind old code paths, unused functions, and deprecated approaches from earlier steps.
Google Cloud Platform deployment issues we check for
Common Google Cloud Platform problems that break AI-generated apps in production.
Cloud Run container port misconfigured
Cloud Run injects the PORT environment variable, but AI-generated Dockerfiles hardcode port 3000 or 8080, causing the container to fail health checks and never become healthy.
Service account with Owner role
AI-generated deployment scripts use the default compute service account with overly broad Owner permissions instead of custom roles scoped to required APIs.
Cloud Run concurrency set to 1
Default concurrency of 1 request per container instance causes excessive scaling and costs. AI tools don't optimize concurrency settings for the application's actual threading model.
VPC connector not attached for private resources
Cloud Run services can't reach Cloud SQL or Memorystore instances in a VPC because AI-generated configs omit the Serverless VPC Access connector.
Start with a self-serve audit
Get a professional review of your Pythagora project before deploying to Google Cloud Platform.
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 deploy a Pythagora-built app to Google Cloud Platform?
Yes. We regularly deploy Pythagora-generated projects to Google Cloud Platform. We handle the platform-specific configuration, fix deployment errors, and ensure your app runs reliably in production on Google Cloud Platform.
What Google Cloud Platform issues do Pythagora projects typically have?
Pythagora projects commonly have weak input validation and insecure session management. When deploying to Google Cloud Platform, these combine with platform-specific issues like cloud run container port misconfigured and service account with owner role.
How do I get my Pythagora project live on Google Cloud Platform?
Start with our code audit ($19) to get a prioritized list of deployment blockers. For Pythagora-built projects targeting Google Cloud Platform, the typical path is: fix Pythagora-specific code issues, configure Google Cloud Platform settings correctly, then deploy. We provide a fixed quote after the audit.
Can you handle the full deployment of my Pythagora app to Google Cloud Platform?
Yes. We handle end-to-end deployment: auditing your Pythagora codebase, fixing deployment blockers, configuring Google Cloud Platform correctly, setting up environment variables, and getting your app live in production. Start with our code audit ($19).
Related resources
Deploy Pythagora Apps
Deploy to Google Cloud Platform
Need help deploying your Pythagora app to Google Cloud Platform?
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.