azure-resource-manager-mysql-dotnet
Manage Azure Database for MySQL Flexible Server deployments using the official .NET SDK. Supports server provisioning, database creation, firewall rules, and high-availability configuration.
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12 skills found
Manage Azure Database for MySQL Flexible Server deployments using the official .NET SDK. Supports server provisioning, database creation, firewall rules, and high-availability configuration.
Operate Railway infrastructure: manage projects, services, databases, object storage, deployments, environments, variables, logs, and performance metrics.
Generate a production-ready Go API service with boilerplate for observability, local development, and clean architecture.
Scaffold and implement authentication in TypeScript/JavaScript apps using Better Auth. Detects frameworks, configures database adapters, sets up route handlers, adds OAuth providers, and scaffolds UI pages.
Implement comprehensive TypeScript authentication and authorization using Better Auth, supporting OAuth, 2FA, passkeys, sessions, and multi-tenant features.
Run, debug, and manage DBHub tests including unit, integration with Testcontainers, and database-specific suites. Perfect for verifying code changes and troubleshooting database connector issues.
Provision and manage Railway database services (Postgres, Redis, MySQL, MongoDB) with automated configuration and environment wiring.
Command-line toolkit for SQL database management: schema design, query optimization, migrations, and performance debugging for SQLite, PostgreSQL, and MySQL.
AWS RDS management for provisioning, scaling, and operational maintenance of managed relational databases including MySQL, PostgreSQL, and Aurora.
Expert database design and access patterns: schema architecture, indexing strategies, query optimization, repository patterns, and transaction management for SQL and NoSQL databases.
Perform network protocol reverse engineering, including packet capture, traffic analysis, protocol dissection, and custom format documentation.
Generate optimized SQL queries from natural language. Supports BigQuery, PostgreSQL, MySQL, and Snowflake. Analyze database schemas, interpret business requirements, and output ready-to-run queries with explanations.