Webyog SQL Diagnostic Manager for MySQL

Agentless MySQL and MariaDB monitoring
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Publisher

Webyog

Subcategories

PC/Server Backup & Imaging

Average rating

Deze score is berekend door AI op basis van publiek beschikbare informatie.
4.5 / 5

About this software

SQL Diagnostic Manager for MySQL (formerly Monyog) is an agentless monitoring and diagnostics tool for MySQL and MariaDB. It provides real-time performance metrics, customizable dashboards, alerts, and query analysis across on-premises and cloud deployments. Features include tracking and comparing configuration changes, monitoring RDS file-based logs and OS metrics, identifying top slow queries, and over 600 predefined monitors and advisors to surface performance and availability issues.

Purchase

Webyog SQL Diagnostic Manager for MySQL

Webyog SQL Diagnostic Manager for MySQL
In Stock
Delivery: 1 working day
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€352.75
Free and without obligation

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Benefits

  • Real-time monitoring: Provides live metrics and alerts for immediate issue detection.
  • Agentless deployment: Monitors servers without installing agents or adding server overhead.
  • Query analysis: Identifies slow or locked queries and surfaces top offenders.
  • Configuration tracking: Tracks and compares MySQL configuration changes over time.
  • Cloud and RDS support: Monitors managed cloud MySQL, Aurora, and Google Cloud SQL instances.

Available languages

  • English

Support information

  • Documentation: Product documentation and user guides are available on the Webyog website.
  • Resource center: Resource center includes blogs, walkthroughs, videos, and solution briefs.
  • Customer portal: Existing customers use the customer portal for upgrades and licensed downloads.
  • Store downloads: Trials and product downloads are available from the Webyog store page.
  • Datasheets and videos: Datasheets and overview videos are provided by Webyog and IDERA.

Frequently asked questions

What does Webyog SQL Diagnostic Manager for MySQL monitor?
Monitors MySQL server health and activity, including query performance, resource usage (CPU, memory, I/O), connections, errors, and diagnostic metrics to support troubleshooting.
How does it help identify slow queries?
Collects query activity and execution statistics, highlights slow or resource-intensive statements, and presents contextual detail and timings to help prioritize and triage performance issues.
Can it alert on performance thresholds and incidents?
Supports configurable alerts for metric thresholds and specific events, enabling teams to be notified when performance degrades or error conditions occur.
Does it provide historical data and reporting?
Retains historical performance metrics and query history to enable reporting, trend analysis, and investigation of intermittent or recurring issues over time.