Frequently Asked Questions

Config Graph is a comprehensive library of 10,000+ production-ready configuration files for modern development. It helps developers by providing tested, documented configurations for popular technologies like Docker, Kubernetes, Terraform, and more. Instead of writing configurations from scratch, you can find, customize, and deploy proven configurations that follow industry best practices.

You can find configurations in several ways: 1) Use our search functionality to find specific technologies or patterns, 2) Browse by category (Frontend, Backend, Database, Infrastructure), 3) Filter by difficulty level, platform, or environment, 4) Explore related configurations from our detailed configuration pages. Each configuration includes tags, technologies, and detailed descriptions to help you find the perfect match.

Yes! All configurations on Config Graph are completely free to use for personal and commercial projects. We provide these configurations as a community resource to help developers build better applications faster. You can download, modify, and deploy any configuration without restrictions.

Configurations are regularly updated to support the latest versions of technologies and incorporate community feedback. Major updates are released monthly, with critical security updates and bug fixes deployed as needed. You can check the "Last Updated" date on each configuration page to see when it was last modified.

Each configuration is designed to be easily customizable. Start by downloading the configuration files, then modify the environment variables, resource limits, or service configurations to match your requirements. Most configurations include comments explaining what each setting does and common customization options. Check the configuration guide for step-by-step customization instructions.

Config Graph supports all major configuration formats including YAML, JSON, TOML, HCL (for Terraform), Dockerfile, docker-compose.yml, and various framework-specific configuration files. Each configuration page shows the file format and provides download options for different formats when applicable.

Absolutely! Many configurations are designed to work together. For example, you can combine a Next.js frontend configuration with a FastAPI backend configuration and a PostgreSQL database configuration. Look for the "Related Configurations" section on each page for compatible configurations, and check our architecture guides for common patterns.

Most configurations include environment-specific examples (development, staging, production). Use environment variables for different settings, maintain separate configuration files for each environment, and use tools like Docker Compose override files or Kubernetes ConfigMaps for environment-specific deployments.

Each configuration includes deployment instructions specific to its platform. Generally: 1) Customize the configuration for your environment, 2) Set up required environment variables and secrets, 3) Follow the deployment guide for your chosen platform (AWS, GCP, Azure, etc.), 4) Test the deployment in a staging environment first, 5) Monitor the application after deployment. Check our deployment checklist for a comprehensive guide.

System requirements vary by configuration. Each configuration page lists minimum requirements including CPU, memory, storage, and network requirements. For container-based deployments, ensure your environment supports the required container runtime. For cloud deployments, check the specific service requirements for your chosen cloud provider.

Database configurations include migration strategies and persistence setup. For Docker deployments, use named volumes for data persistence. For Kubernetes, use PersistentVolumes. Cloud-managed databases (RDS, Cloud SQL) handle persistence automatically. Always backup your data before running migrations and test migration scripts in non-production environments first.

Yes! Many configurations include CI/CD pipeline examples for popular platforms like GitHub Actions, GitLab CI, Jenkins, and Azure DevOps. These pipelines typically include steps for testing, building, security scanning, and deployment. Adapt the provided pipeline configurations to match your specific CI/CD requirements and deployment targets.

All configurations follow security best practices including: secure defaults, proper secret management, network security, access controls, and regular security updates. However, you should review and adapt configurations to meet your specific security requirements, conduct security audits, and stay updated with security patches for all components.

Never store secrets in configuration files! Use environment variables, secret management services (AWS Secrets Manager, HashiCorp Vault), Kubernetes Secrets, or cloud provider secret services. Our configurations show where to inject secrets and provide examples of proper secret management patterns.

Recommended security scans include: container vulnerability scanning (using tools like Trivy or Snyk), configuration security analysis (using tools like Checkov or Terrascan), dependency vulnerability scanning, and infrastructure security assessment. Many configurations include security scanning steps in their CI/CD pipelines.

Subscribe to security updates for all components in your configuration, use automated dependency updates (like Dependabot), regularly update base images and dependencies, monitor security advisories for your technology stack, and implement automated testing to catch breaking changes from updates.

Performance optimization strategies include: adjusting resource limits based on your workload, implementing caching strategies, optimizing database connections and queries, using CDNs for static content, enabling compression and minification, implementing proper monitoring and alerting, and load testing your configurations under expected traffic.

Essential monitoring includes: application performance monitoring (APM), infrastructure monitoring, log aggregation, error tracking, and business metrics. Our configurations often include monitoring setup for tools like Prometheus, Grafana, ELK stack, or cloud-native monitoring services. Set up alerts for critical metrics and establish monitoring baselines.

Scaling strategies depend on your architecture: for containerized applications, use horizontal pod autoscaling (HPA) in Kubernetes, for cloud deployments, use auto-scaling groups and load balancers, for databases, implement read replicas and connection pooling, and for frontend applications, use CDNs and static site optimization. Monitor key metrics to determine when to scale.

Config Graph includes configurations for all major cloud platforms: AWS (EC2, ECS, EKS, Lambda), Google Cloud Platform (GCE, GKE, Cloud Run), Microsoft Azure (AKS, Container Instances), and cloud-agnostic solutions. Each configuration specifies its target platform and includes platform-specific deployment instructions.

Cloud migration strategies include: using cloud-agnostic tools (like Kubernetes), adapting provider-specific services (databases, load balancers), updating networking configurations, migrating data and storage, and testing thoroughly in the target environment. Our multi-cloud guides provide step-by-step migration instructions.

Cost optimization techniques include: right-sizing instances based on actual usage, using reserved instances for predictable workloads, implementing auto-scaling to reduce idle resources, optimizing storage and data transfer, using spot instances for fault-tolerant workloads, and monitoring costs with cloud provider tools. Many configurations include cost-optimization notes.