- Instance Flags and Settings: Cloud SQL instances have various flags and settings that can be configured to optimize performance, manage resources, and enable specific features. Understand how to use and manage these flags and settings.
- Connection Limits: Each Cloud SQL instance has a maximum number of concurrent connections. Learn how to monitor and manage connection limits to ensure optimal performance and avoid resource contention.
- Connection Pooling: Connection pooling can improve performance by reusing database connections and reducing the overhead of establishing new connections. Learn how to implement connection pooling in your applications.
- Integration with Cloud Identity: Cloud SQL supports integration with Cloud Identity, enabling you to manage database users and authentication using your existing identity provider.
- Audit Logging: Configure audit logging for your Cloud SQL instances to track and monitor activity, supporting security, compliance, and troubleshooting efforts.
- Performance Insights: Use Cloud SQL Performance Insights to analyze and optimize the performance of your databases by identifying slow queries, resource bottlenecks, and other performance issues.
- Instance Templates: Instance templates in Cloud SQL allow you to create pre-configured settings for new instances, making it easier to deploy consistent configurations across multiple instances.
- Cloud SQL Read Replicas: Read replicas can offload read traffic from the primary instance, improving performance and scalability. Understand how to create, manage, and promote read replicas in Cloud SQL.
- Private IP Connectivity: Cloud SQL supports private IP connectivity through VPC peering, allowing you to securely connect to your instances from within your VPC without exposing them to the public internet.
- Cloud SQL and Data Studio: Integrate Cloud SQL with Google Data Studio to create visualizations and reports based on your database data, making it easier to analyze and share insights with your team.
- Cloud SQL and Cloud Scheduler: Use Cloud Scheduler to schedule and automate tasks in Cloud SQL, such as running SQL queries, managing backups, or scaling instances based on usage patterns.
- Database Encryption: Data stored in Cloud SQL instances is encrypted at rest by default. Learn about the encryption options available, including Google-managed keys, customer-managed keys, and customer-supplied encryption keys.
- Cloud SQL Performance Tuning: Optimize the performance of your Cloud SQL instances by tuning settings, such as query cache, connection timeout, and max_connections, based on your application’s requirements and usage patterns.
- Cloud SQL Query Insights: Cloud SQL Query Insights provides an overview of query performance, helping you identify and optimize slow queries, resource bottlenecks, and other performance issues.
