> Architecture, best practices, and applied solutions
Dependency Injection, Pydantic V2, background tasks, asynchronous API development, and code quality control with Pytest.
How Python works under the hood: GIL, memory, concurrency, algorithms, data structures, SOLID, KISS, DRY.
A deep dive into relational databases: optimizing complex queries, configuring indexes, and managing locks and transactions. Covers scaling strategies from replication to sharding and data partitioning.
Distributed systems patterns, message brokers, and caching.
Security: OAuth2/JWT, REST architecture, protocols (HTTP/gRPC), and API protection.
CI/CD, Docker Compose, deployment automation, and monitoring (Prometheus/Grafana).