Technical Documentation & FAQ
Deep dive into our architecture, API standards, security protocols, and infrastructure specificities designed for scalable enterprises.
We utilize the Strangler Fig pattern to incrementally refactor monolithic legacy architectures into scalable microservices. This ensures zero downtime and preserves data integrity while migrating to modern tech stacks.
Our pipelines rely on GitHub Actions or Jenkins with strict quality gates: linting, unit testing (Jest/Mocha), integration testing, and automated security scans (SAST/DAST) before Docker containerization.
We are agnostic but specialize in PostgreSQL for relational data requiring strict ACID compliance, and MongoDB/DynamoDB for high-throughput unstructured data. We also implement Redis for high-speed caching layers.
We implement automated daily point-in-time recovery (PITR) backups with cross-region replication. Our architecture supports active-passive and active-active configurations to ensure high availability.
Our solution utilizes advanced AI-driven OCR engines capable of parsing ID documents in <2 seconds with 99.8% accuracy. We combine this with liveness detection algorithms to prevent spoofing attacks.
We support a hybrid model. Critical liveness checks can be performed on-device (Edge AI) to reduce latency and bandwidth, while final verification matches are securely processed on our encrypted servers.
Yes. All enterprise deployments are isolated within a VPC. We configure private subnets, NAT gateways, and strict Security Group rules to ensure your infrastructure is invisible to the public internet.
Absolutely. For event-driven workloads, we leverage AWS Lambda or Azure Functions to optimize costs, ensuring you only pay for compute time used rather than idle server capacity.
We enforce AES-256 encryption for data at rest and TLS 1.3 for all data in transit. API keys and secrets are managed via HashiCorp Vault or AWS Secrets Manager, never hardcoded.
We conduct automated vulnerability scanning weekly and engage third-party security firms for deep-dive penetration testing on a quarterly basis to ensure compliance with OWASP Top 10 standards.
Yes, alongside standard RESTful APIs, we offer GraphQL endpoints for clients requiring flexible data fetching to minimize over-fetching and under-fetching issues.
We provide a robust webhook infrastructure with retry logic and exponential backoff. You can configure endpoints to receive real-time notifications for system events (e.g., verification completion).