How do I handle missing features like SQL Agent?

The skill offers workarounds using Azure-native tools like Azure Functions or Logic Apps for scheduling, and Elastic Query for cross-database needs.

Does it support Hyperscale databases?

Absolutely, it provides patterns for storage auto-scaling, read scale-out, and managing named replicas specifically for Hyperscale environments.

Can this skill assist with performance bottlenecks?

Yes, it includes specialized queries to monitor CPU, I/O, and memory consumption, as well as Query Store scripts to identify top resource consumers.

How does this skill help with Azure SQL pricing?

It provides guidance on choosing between DTU and vCore models and identifies opportunities for cost savings using Reserved Capacity and Serverless auto-pause features.

Azure SQL Optimization

Name: Azure SQL Optimization
Author: JosiahSiegel

byJosiahSiegel

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データベース管理

Optimizes Azure SQL Database performance through platform-specific configurations, monitoring scripts, and scaling strategies.

概要

Azure SQL Optimization is a specialized skill designed to help developers and DBAs maximize the efficiency of their Azure-hosted databases. It provides expert guidance on navigating Azure-specific nuances, such as choosing between DTU and vCore models, configuring Hyperscale and Serverless tiers, and implementing automatic tuning. By offering pre-built monitoring scripts for Query Store and resource consumption, as well as patterns for connection pooling and retry logic, this skill ensures your cloud database remains high-performing, cost-effective, and resilient to transient faults.

主な機能

Automatic tuning configuration for plan forcing and index management.
Serverless and Hyperscale best practices for cost and scale optimization.
7 GitHub stars
Resource consumption monitoring scripts for real-time and historical analysis.
Implementation patterns for Azure-specific connectivity and retry logic.
Comprehensive service tier comparison between DTU, vCore, and Hyperscale.

ユースケース

Troubleshooting and resolving performance bottlenecks in production Azure databases.
Migrating on-premises SQL Server workloads to Azure SQL Database.
Optimizing cloud infrastructure costs using auto-pause and reserved capacity.

概要

主な機能

Automatic tuning configuration for plan forcing and index management.
Serverless and Hyperscale best practices for cost and scale optimization.
7 GitHub stars
Resource consumption monitoring scripts for real-time and historical analysis.
Implementation patterns for Azure-specific connectivity and retry logic.
Comprehensive service tier comparison between DTU, vCore, and Hyperscale.

ユースケース

Troubleshooting and resolving performance bottlenecks in production Azure databases.
Migrating on-premises SQL Server workloads to Azure SQL Database.
Optimizing cloud infrastructure costs using auto-pause and reserved capacity.