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System metrics

What metrics Watchflare collects, how they are stored, and the available time ranges.

The agent collects system metrics every 30 seconds and sends them to the Hub. They are displayed in real time on host detail pages and stored in TimescaleDB for historical queries.

Note

Some metrics show 0 on certain environments — this is expected. Temperature is unavailable on VMs and containers. IOWait is Linux-only. Disk and network are skipped when the agent runs inside a container. See the Notes column in each table.


Collected metrics

CPU

MetricUnitNotes
Usage%Percentage of all logical cores
IOWait%Time waiting for I/O. Linux only — 0 on macOS and VMs.
Steal%CPU time stolen by the hypervisor. Linux VMs only — 0 on physical hosts and macOS.
Temperature°CPhysical hosts only. Unavailable on VMs and containers.

Memory

MetricUnitNotes
UsedbytesActively used memory
AvailablebytesMemory available to applications without swapping
BuffersbytesKernel buffer cache. Linux only.
CachedbytesPage cache. Linux only.

Swap

MetricUnit
Totalbytes
Usedbytes

Swap metrics are skipped on containers.

Disk

MetricUnitNotes
TotalbytesTotal capacity of the primary partition
UsedbytesUsed space
Read throughputbytes/sDisk read speed since last sample
Write throughputbytes/sDisk write speed since last sample

Disk metrics are skipped on Docker containers (disk is shared with the host and would double-count).

Network

MetricUnit
Inbound (RX)bytes/s
Outbound (TX)bytes/s

System

MetricUnit
Uptimeseconds
Load average 1 min
Load average 5 min
Load average 15 min
Process countcount

Temperature sensors

On physical Linux hosts with hardware sensors, the agent collects all available temperature readings (CPU cores, NVMe drives, chassis fans, etc.) and stores them individually. These appear in the Sensors section of the host detail page.


Time ranges and resolution

Charts on the host detail page are available in five time ranges. Longer ranges use pre-computed aggregates for performance:

RangeResolutionSource
1 hourRaw (30 s samples)metrics table
12 hours10-minute bucketsmetrics_10min aggregate
24 hours15-minute bucketsmetrics_15min aggregate
7 days2-hour bucketsmetrics_2h aggregate
30 days8-hour bucketsmetrics_8h aggregate

Aggregates are computed automatically by TimescaleDB continuous aggregates. Switching to a longer range trades sample granularity for a broader view.

Your default time range can be set in Settings → Preferences.


Live updates

The dashboard receives metric updates via a persistent Server-Sent Events (SSE) connection to the Hub. There is no polling — data appears within seconds of the agent sending it. Each 30-second collection cycle is immediately reflected on the chart and the live stat gauges.


Data retention

Each table has its own retention policy applied automatically by TimescaleDB:

TableRetention
metrics (raw, 30 s samples)24 hours
metrics_10min14 days
metrics_15min30 days
metrics_2h90 days
metrics_8h1 year

Raw data is compressed after 1 day. The dashboard selects the appropriate table automatically based on the chosen time range — no configuration needed.