Strelka is a real-time, containerized file scanning system designed for threat hunting, detection, and incident response at enterprise scale. It is built with a Go frontend and manager components that handle gRPC client intake, Redis-based task coordination, and response logging (local, Kafka, S3), while Python backend workers execute over 50 file-format scanners. The system uses YARA rules for initial file classification ('taste'), then dispatches files to specialized scanners for metadata extraction, IOC detection, archive extraction, and malware analysis. It supports multiple client modes: oneshot (CLI), filestream (continuous file monitoring), and a Python client. Deployment is via Docker Compose or Kubernetes, with optional Envoy proxy and OpenTelemetry tracing. The architecture follows a microservices pattern: frontend (gRPC server), coordinator (Redis task queue), gatekeeper (dedup cache), manager (Redis management), and backend (Python scanner workers). Scanners are dynamically loaded and configured via YAML, with positive/negative flavor matching. The codebase includes extensive test fixtures and pytest tests for each scanner, CI/CD pipelines, and pre-commit hooks. While the system is production-ready and well-structured, it exhibits some code duplication across archive scanners, deprecated library usage (pylzma, old protobuf), and brittle subprocess calls for password cracking. Overall, it is a strong, maintainable security analysis platform.