Cloud-Based SQL is a managed hosting service that makes creating, managing, and scaling MySQL databases straightforward. Cloud SQL, which host on the Google Cloud Platform, automatically handles software updates and allows users to set up automated backups and failover for high availability.
If you don’t have total visibility into your Google Cloud SQL databases, tracking availability, resource utilization, and other essential metrics for your apps might be difficult. Also, thanks to our Google Cloud SQL interface, you can follow these KPIs and more in the same place as the rest of your Google Cloud infrastructure. Use the out-of-the-box dashboard for Google Cloud SQL to keep track of your data.
Key Cloud SQL metrics to monitor
After you’ve enabled the integration, you can use a customizable, out-of-the-box dashboard like the one above to keep track of your Google Cloud SQL databases. This high-level overview shows the health and performance of your Cloud SQL databases, including critical indicators such as:
- Also, users can second-generation setup instances to automatically scale up storage as needed with Google Cloud SQL. If you haven’t set this option or run first-generation cases, you should keep an eye on disk use and, if necessary, add more storage before writes start to fail.
- CPU: Monitoring CPU consumption can aid in the efficient provisioning of Cloud SQL instances. Unexpectedly high CPU consumption may suggest that additional resources for your instances are required. Also, if you observe that CPU and other resources underutilize in other circumstances, you can probably scale down.
- Connections: Keep a watch on this statistic to make sure you don’t go over the connection restrictions of your instances. The Cloud SQL manual also contains pointers on effectively managing your database connections.
- The inquiries measure counts client queries and is a handy high-level metric to watch when using MySQL as your database engine. Also, you can set up an alert to tell you if your question throughput suddenly reduces. It indicates a problem with your database or client apps.
Monitor Google Cloud SQL in context
May correlate cloud SQL performance with the rest of your Google Cloud services. Also, it analyzed all in one location using integration. You can start visualizing Google Cloud SQL, Google Compute Engine, and Google App Engine metrics on an out-of-the-box screen board.
Handle any weather the cloud may bring
You can set up detection mechanisms to inform you if any Google Cloud SQL database goes down or notification if query performance drops suddenly. Set up alerts for any of the Cloud SQL metrics listed above. Also, it receives reports via Slack, PagerDuty, HipChat, and other issue resolution platforms. Each Cloud SQL metric label with identifiable metadata. It allows you to slice and dice your metrics to create customized alerts and dashboards.
About Enteros
Enteros offers a patented database performance management SaaS platform. It proactively identifies root causes of complex business-impacting database scalability and performance issues across a growing number of RDBMS, NoSQL, and machine learning database platforms.
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