EXEM | MaxGauge for CloudDB

MaxGauge for CloudDB

Cloud-based Integrated Database
Performance Management

MaxGauge for CloudDB is a database-specialized monitoring solution that can comprehensively manage cloud-based
commercial/open-source databases. Multiple databases can be monitored on one screen through 1-URL Platform integration,
and intuitive UI/UX enhances users’ convenience and supports operation and analysis focused on cross-linkage analysis.
It can be used in various cloud environments including AWS, Azure, OCI, and GCP.

Maxgauge for cloudDB
  • Commercial/Open-source DBMS Integrated Monitoring

  • Various CSP Support

  • Architecture Suitable for
    Cloud Environment

  • User-friendly Interface Providing Extreme Convenience


MaxGauge for CloudDB is designed to enable meaningful monitoring with minimal data according to the cloud environment.

  • Real-time Monitoring
    Real-time monitoring of various performance indicators
  • Integrated Dashboard
    Provide an integrated dashboard
    for the entire DBMS
  • 1-URL Platform Integrated Monitoring
    for Oracle, PostgreSQL, MySQL, etc.
  • User Interface
    Data Scale In/Out analysis through
    time series zoom chart
  • Alarm/SMS Connection
    Alert setting for all performance indicators
  • User Management
    List management by DBMS vendor,
    client account authority setting
  • DB Performance Report
    Select/Combine all UI
    provided by MaxGauge
  • Cloud Environment Support
    AWS, Azure, OCI, GCP, etc.

Monitoring Views

Real Time View

Real-time View

MaxGauge for CloudDB allows DBAs to intensively monitor a single database while taking a closer look at multiple databases on one screen. OS & DB Metric, Latency (+TPS), Wait Class, Resource Usage, Wait Chains, and other SQL Summary information can be easily checked, which enables seamless database monitoring.

· Overveiw/DB Session Type/DB Wait Class/Time Model/
   Resource Usage/DB Metric

Session Detail

Session Detail

Session and SQL-related metrics, plans, and full text that require detailed analysis are provided in a drill-down method. In addition, MaxGauge for CloudDB provides the trend of major monitoring indicators, the history of the past 1 minute, and the Kill Session function.

Analysis Views

SQL Summary

SQL Summary

The ratio of key performance indicators by date gives users a very intuitive analysis. What’s more, through Daily-Time Ratio Bar, DBAs can select/deselect the information of the desired date and identify the cause of the load by checking the Top SQL of the selected date.

TOP-N Analysis

TOP-N Analysis

Through TOP-N trend analysis by section, the impact of the total or selected TOP SQL can also be confirmed. You can immediately check TOP-N data by Schema/Module/SQL when moving a section according to the search conditions, such as Group/Order by.

SQL Summary

Plan Change

MaxGauge for CloudDB provides the number of SQLs changed in the plan and the trend over time. In addition, it is easy to check the plan change history, amount of work before/after the plan change (such as buffer gets, disk read), SQL Plan, and Reason information for the section. The Plan Diff feature allows you to compare two execution plans on one screen.

SQL Summary

Event Analysis

MaxGauge for CloudDB provides daily Wait Time status of the Wait Event (Class). By checking the Top Wait Event list for different dates, DBAs are able to confirm the SQL list where the Wait Event occurred.

SQL Summary

Search SQL

Long-term trend analysis of specific SQL is provided. It also allows you to check information such as daily execution count and execution time, Graph/SQL Text in the STAT area. For example, I/O, etc.


Customer Cases

  • Online Service

    E-commerce System

    Adoption Background

    As the use of Cloud DB increases, difficulties in performance monitoring and management gradually occur, and then we were trying to find a solution which can help us derive causes/analysis when bottlenecks arise.


    • CPU usage reduction by SQL tuning through extraction of Top-SQL with high usage and derivation of Function in
      problem section.

    • Reducing I/O-related costs by transferring low-critical tasks to RDS by checking SQL with a high share of disk I/O
      through the Top-N function.

    • Transferring backup object data that is not used for operational tasks by deriving objects with high I/O-related indicators in a
      specific time period.

    • Cost savings of KRW 570,000 per day on average and KRW 17 million per month after the adoption of MaxGauge for CloudDB.

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