go-docker
Docker containerization for Go applications
发现 部署与运维 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。
Docker containerization for Go applications
Kubernetes operators and client-go development
Build gRPC services with Go - protobuf, streaming, interceptors
Go database operations - SQL, ORMs, transactions, migrations
Core Go programming concepts - syntax, types, interfaces, error handling
Build production REST APIs with Go - handlers, middleware, security
Go testing practices - unit tests, benchmarks, mocks, coverage
Go concurrency patterns - goroutines, channels, sync primitives
Go modules and dependency management
CLI application patterns and best practices
LLMs, prompt engineering, RAG systems, LangChain, and AI application development
Docker, Kubernetes, container orchestration, and cloud-native deployment for data applications
FastAPI, REST APIs, GraphQL, data service design, and API best practices
Statistics, probability, linear algebra, and mathematical foundations for data science
Data pipeline architecture, ETL/ELT patterns, data modeling, and production data platform design
Snowflake, BigQuery, Redshift, dimensional modeling, and modern data warehouse architecture
Terraform, Pulumi, CloudFormation, and infrastructure as code for data platforms
Master Python fundamentals, OOP, data structures, async programming, and production-grade scripting for data engineering
Prometheus, Grafana, logging, alerting, and data pipeline observability
Portfolio building, technical interviews, job search strategies, and continuous learning
pytest, data validation, Great Expectations, and quality assurance for data systems
Supervised & unsupervised learning, scikit-learn, XGBoost, model evaluation, feature engineering for production ML
SQL query optimization, schema design, indexing strategies, and relational database mastery for production data systems
MongoDB, Redis, Cassandra, DynamoDB, and distributed database patterns for scalable 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。