Database monitoring solutions deliver visibility into the database workload and query behavior. Therefore, it was only natural that we'll integrate EverSQL with those solutions, to allow our customers to both identify and quickly optimize their SQL queries.
We wanted this integration to be as easy as possible, so the integration with the products below doesn't require any configuration, other than having an EverSQL account and installing our Chrome Extension. These are one-side integrations developed and maintained by EverSQL.
Which products can I integrate EverSQL with?
When you install our Chrome extension, you're in fact integrating with one or more of these products:
- Percona PMM - Percona Monitoring and Management (PMM) is an open source platform for managing and monitoring MySQL and MongoDB performance.
Click here to read more on Percona's blog - AWS RDS Performance Insights - Amazon RDS Performance Insights is a database performance tuning and monitoring feature that helps you quickly assess the load on your database, and determine when and where to take action.
Click here to read more on our blog - Google Cloud SQL Dashboard (StackDriver) - Stackdriver aggregates metrics, logs, and events from infrastructure, giving developers and operators a rich set of observable signals that speed root-cause analysis and reduce mean time to resolution. We integrated the Chrome extension with StackDriver's dashboard to visualize the slow log entries and allow to optimize them.
Click here to read more on our blog - VividCortex - database performance monitoring which provides insights into query behavior and resource utilization so you can improve app efficiency and up-time.
- Idera SQL Diagnostic Manager for MySQL - Agentless and cost-effective performance monitoring for MySQL and MariaDB
Installing the Chrome Extension
To install the extension, please navigate to the extension page on Google Chrome Web Store and click the Add to Chrome button. That's it, you're done. Now you can access your favorite monitoring solution and retrieve the optimization recommendations for the detected slow queries.
