defensive-security
SOC operations, incident response, and threat detection for security monitoring
发现 数据与 AI 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
SOC operations, incident response, and threat detection for security monitoring
Cryptographic algorithms, protocols, and implementations for secure data protection
Penetration testing, ethical hacking, and vulnerability assessment techniques for authorized security testing
iOS (Swift, SwiftUI), Android (Kotlin, Compose), cross-platform (Flutter, React Native), and game development (Unity, Unreal).
Cloud platforms (AWS, Cloudflare, GCP, Azure), containerization (Docker), Kubernetes, Infrastructure as Code (Terraform), CI/CD, and observability.
Expert guidance on 9 programming languages and 10+ frameworks. Compare, select, and master language ecosystems.
Emerging technologies (prompt engineering, AI agents, red teaming) and leadership roles (product manager, engineering manager, DevRel).
Master core development paths - Frontend, Backend, Full Stack, DevOps. Atomic skill for learning sequences and technology stack recommendations.
System design, software architecture, API design, cybersecurity, and threat modeling. Build secure, scalable systems.
Data engineering, machine learning, AI, and MLOps. From data pipelines to production ML systems and LLM applications.
Master programming languages for backend development. Learn language selection, fundamentals, and ecosystem for JavaScript, Python, Go, Java, C#, PHP, Ruby, and Rust.
Design and build professional APIs with REST, GraphQL, and gRPC. Master authentication, documentation, testing, and operational concerns.
Microservices architecture patterns and best practices. Service decomposition, inter-service communication, and distributed data management.
Master architectural design with SOLID principles, design patterns, microservices, and event-driven systems. Learn to design scalable backend systems.
Backend authentication and authorization patterns. JWT, OAuth2, session management, RBAC, and secure token handling.
Master relational and NoSQL databases. Learn PostgreSQL, MySQL, MongoDB, Redis, and other technologies for data persistence, optimization, and scaling.
Message queues and event-driven backend architecture. RabbitMQ, Kafka, pub/sub patterns, and async communication.
Deploy applications with Docker and Kubernetes, automate with CI/CD, manage infrastructure with code, and configure cloud platforms and networking.
Optimize application performance through caching strategies, load balancing, database scaling, and monitoring. Build systems handling thousands of concurrent users.
Logging, metrics, and distributed tracing. OpenTelemetry, Prometheus, Grafana, and production debugging.
Secure backend applications against OWASP threats. Implement authentication, encryption, scanning, compliance, and incident response procedures.
Backend testing strategies and test automation. Unit, integration, E2E, and load testing with best practices.
Master ASP.NET Core fundamentals including C#, project structure, routing, middleware, and basic API development. Essential skills for all ASP.NET Core developers.
Master ASP.NET Core deployment, Docker, Azure cloud, CI/CD pipelines, and production infrastructure for enterprise applications.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。