MariaDB MaxScale

This dashboard shows MaxScale’s health and load, how backend servers are seen by each MaxScale, and the traffic/query volume flowing through it—plus cache efficiency from the Query Classifier.

Topology Overview

Provides a visual representation of the entire system's architecture and connectivity.

Section	Description
Project	Displays the currently selected project label.
Name	Shows the selected database/topology name.
Version	Shows MaxScale version.
Topology Info	Count of nodes grouped by type (e.g., server, MaxScale).
Backend Server States	Timeline of each backend server’s role and health as seen by each MaxScale. Values are color-mapped to: Read, Write, Up, Down. Use this to spot failovers, read/write role flips, or outages over time.
Maxscale Uptime by Instance	Uptime in seconds for each MaxScale instance.

System Metrics

System Metrics provide comprehensive insights into the performance and health of individual system resources.

Metric	Description
CPU Utilisation	Effective CPU usage (%) per instance, excluding idle/iowait/guest time.
Memory Usage	Working memory in use (%) per instance (total minus free/buffers/cache/slab).
Network Traffic	Per-interface throughput (bits/s). Transmit is plotted below the axis (negative-Y), receive above—making direction easy to read.

MaxScale Metrics

Query Classifier Cache Metrics help in analyzing and optimizing query routing efficiency by tracking cache hits/misses and monitoring cache size.

Metric	Description
MaxScale Processing Load	Percentage of total CPU time consumed by the MaxScale process over time (a direct view of router load).
Connections	Active backend connections per server as observed by MaxScale.
Operations	Active operations per backend server (ongoing requests tracked by MaxScale).
Packets Read/Writes	Per-server packet read and write rates (packets/s). Useful for spotting uneven load distribution.
QPS	Queries per second passing through MaxScale across the selected instances (overall routing throughput).

Query Classifier Cache Metrics

Evaluate query routing efficiency by tracking and optimizing cache metrics like hits, misses, and cache size.

Metric	Description
Cache Hits vs Misses	Per-second hits and misses in the Query Classifier cache. Analyze the relationship to assess effectiveness.
Cache Size	Current size of the Query Classifier cache (bytes). Monitor growth with Hits/Misses for tuning insights.

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