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go-docker
Docker containerization for Go applications
Skills IA DevOps
Découvrez les skills DevOps, comparez leurs dépôts et consultez leurs instructions.
Catégories: DevOps
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go-kubernetes
Kubernetes operators and client-go development
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go-grpc
Build gRPC services with Go - protobuf, streaming, interceptors
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go-database
Go database operations - SQL, ORMs, transactions, migrations
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go-fundamentals
Core Go programming concepts - syntax, types, interfaces, error handling
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go-web-apis
Build production REST APIs with Go - handlers, middleware, security
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go-testing
Go testing practices - unit tests, benchmarks, mocks, coverage
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go-concurrency
Go concurrency patterns - goroutines, channels, sync primitives
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go-modules
Go modules and dependency management
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go-cli
CLI application patterns and best practices
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llms-generative-ai
LLMs, prompt engineering, RAG systems, LangChain, and AI application development
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containerization
Docker, Kubernetes, container orchestration, and cloud-native deployment for data applications
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api-development
FastAPI, REST APIs, GraphQL, data service design, and API best practices
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statistics-math
Statistics, probability, linear algebra, and mathematical foundations for data science
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data-engineering
Data pipeline architecture, ETL/ELT patterns, data modeling, and production data platform design
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data-warehousing
Snowflake, BigQuery, Redshift, dimensional modeling, and modern data warehouse architecture
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iac-automation
Terraform, Pulumi, CloudFormation, and infrastructure as code for data platforms
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python-programming
Master Python fundamentals, OOP, data structures, async programming, and production-grade scripting for data engineering
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monitoring-observability
Prometheus, Grafana, logging, alerting, and data pipeline observability
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career-growth
Portfolio building, technical interviews, job search strategies, and continuous learning
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testing-quality
pytest, data validation, Great Expectations, and quality assurance for data systems
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machine-learning
Supervised & unsupervised learning, scikit-learn, XGBoost, model evaluation, feature engineering for production ML
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sql-databases
SQL query optimization, schema design, indexing strategies, and relational database mastery for production data systems
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nosql-databases
MongoDB, Redis, Cassandra, DynamoDB, and distributed database patterns for scalable applications
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.