Metrics time-series connector
% start synopsis Forwards MoaT-Link values to metrics time-series storage backends. % end synopsis
% start main
This module watches MoaT-Link entries and writes their values to metrics backends
whenever they change. It replaces the legacy moat-kv-akumuli and moat-link-akumuli packages.
Features
- Pluggable backend support (currently: Akumuli)
- Per-server configuration stored in MoaT-Link
- Dynamic series management: add, remove, or modify series at runtime
- Configurable scaling (factor/offset) and rate limiting (t_min)
- Attribute extraction from nested source values
Quick start
-
Configure a metrics server:
moat link metrics add myserver my.entry source.path series_name host=myhost
-
Run the connector:
moat link metrics monitor myserver
Backends
The default backend is Akumuli. To specify a different backend, set the backend
field in the server configuration to the backend module name (e.g., akumuli).
Deprecation
This package supersedes moat-kv-akumuli and moat-link-akumuli. The raw
MQTT topic monitoring feature has been removed; use MoaT-Link's native data paths instead.
% end main
Release files for moat-link-metrics 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| moat_link_metrics-0.1.2.tar.gz | 11.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| moat_link_metrics-0.1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 23.6 kB
Release files / moat_link_metrics-0.1.2.tar.gz
| Download URL | moat_link_metrics-0.1.2.tar.gz |
|---|---|
| Size | 11.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / moat_link_metrics-0.1.2-py3-none-any.whl
| Download URL | moat_link_metrics-0.1.2-py3-none-any.whl |
|---|---|
| Size | 11.7 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.13.14
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