Develop a Grafana dashboard that integrates with MetricsHub to monitor and report on key system metrics for both Linux and Windows systems. The dashboard will provide real-time insights and historical data analysis to support system administrators in managing system health and performance effectively.
Data Collection
MetricsHub will be configured to collect Linux and Windows hosts and then reports the following system metrics to Prometheus.
System Information: Hostname, OS type, version, uptime, last boot, system time, etc. The connector could be adjusted to report these information.
CPU: Metrics system.cpu.utilization and system.cpu.time (possible states are user, nice, system, idle and io_wait)
Memory: Total, used, free, cached, and available memory. Metrics: system.memory.usage and system.memory.utilization (possible usagesr are free, used and cached)
FileSystems: Usage free and used. Metric: system.filesystem.usage (possible states: free and used).
Paging: Swap usage, paging in/out operations.
Network: Bandwidth usage, packet transmission statistics, errors, and drops per interface.
Disks: Read/write operations, total read/write bytes, disk queue length.
Services: Running status, process id.
Design and Layout
Overview Section: Summarize system health with a global status indicator
Metrics Sections: Separate sections for CPU, Memory, FileSystems, Paging, Network, Disks, and Services with detailed charts and tables.
Visualization Types: Use line charts for time-series data, bar charts for comparative data, (gauges for current state metrics?), and tables for services status.
Objective
Develop a Grafana dashboard that integrates with MetricsHub to monitor and report on key system metrics for both Linux and Windows systems. The dashboard will provide real-time insights and historical data analysis to support system administrators in managing system health and performance effectively.
Data Collection
MetricsHub will be configured to collect Linux and Windows hosts and then reports the following system metrics to Prometheus.
System Information: Hostname, OS type, version, uptime, last boot, system time, etc. The connector could be adjusted to report these information. CPU: Metrics
system.cpu.utilization
andsystem.cpu.time
(possible states areuser
,nice
,system
,idle
andio_wait
) Memory: Total, used, free, cached, and available memory. Metrics:system.memory.usage
andsystem.memory.utilization
(possible usagesr arefree
,used
andcached
) FileSystems: Usage free and used. Metric:system.filesystem.usage
(possible states:free
andused
). Paging: Swap usage, paging in/out operations. Network: Bandwidth usage, packet transmission statistics, errors, and drops per interface. Disks: Read/write operations, total read/write bytes, disk queue length. Services: Running status, process id.Design and Layout
Overview Section: Summarize system health with a global status indicator Metrics Sections: Separate sections for CPU, Memory, FileSystems, Paging, Network, Disks, and Services with detailed charts and tables. Visualization Types: Use line charts for time-series data, bar charts for comparative data, (gauges for current state metrics?), and tables for services status.