node-exporter-textfile-collector-scripts
Grafana
node-exporter-textfile-collector-scripts | Grafana | |
---|---|---|
8 | 379 | |
451 | 60,395 | |
2.2% | 0.7% | |
6.0 | 10.0 | |
6 days ago | 6 days ago | |
Python | TypeScript | |
Apache License 2.0 | GNU Affero General Public License v3.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
node-exporter-textfile-collector-scripts
- How can we extend the lifespan of SSDs in ZFS mirrors? Samsung EVO SSDs are wearing out in ~5.5 years.
-
What Metric In Node Exporter Indicates When a BTRFS Array Is Degraded?
For anyone still wondering, the best way I found was to use btrfs_stats.py from this repo and checking when errors are over 0.
- Can Prometheus act similar to OPC A&E server?
-
How to Detect if Drive Failed in ZFS and BTRFS with Node Exporter?
Here are some examples https://github.com/prometheus-community/node-exporter-textfile-collector-scripts
-
Linux Patch Management
node_exporter apt.sh collector
-
My media server dashboard, been pretty happy with it for a while, trying to decided if I need any other info on it
Hi. I use this python script and used this dashboard as template.
-
I improved my Grafana dashboard, now with node and blockchain metrics
That's right.. The smartmon.py doesn't support NVMe SSDs originally so I make it compatible with my SAMSUNG PM983 and very likely it won't work on other SSDs... nvme_metrics.sh seems like a good one to use. Ahh, I didn't notice this.
Grafana
-
Docker Log Observability: Analyzing Container Logs in HashiCorp Nomad with Vector, Loki, and Grafana
Monitoring application logs is a crucial aspect of the software development and deployment lifecycle. In this post, we'll delve into the process of observing logs generated by Docker container applications operating within HashiCorp Nomad. With the aid of Grafana, Vector, and Loki, we'll explore effective strategies for log analysis and visualization, enhancing visibility and troubleshooting capabilities within your Nomad environment.
-
Golang: out-of-box backpressure handling with gRPC, proven by a Grafana dashboard
To help us visualize these scenarios, we'll build a Grafana Dashboard so we can follow along.
-
Monitoring, Observability, and Telemetry Explained
Visualization and Analysis: Choose a tool with intuitive and customizable dashboards, charts, and visualizations. A question to ask is, "Are the visualization features of this tool user-friendly and adaptable to our team's specific needs?" Tools like Grafana and Kibana provide powerful visualization capabilities.
-
4 facets of API monitoring you should implement
Prometheus: Open-source monitoring system. Often used together with Grafana.
- Grafana: Open and composable observability and data visualization platform
-
The Mechanics of Silicon Valley Pump and Dump Schemes
Grafana
-
Reverse engineering the Grafana API to get the data from a dashboard
Yes I'm aware that Grafana is open source but the method I used to find the API endpoints is far quicker than digging through hundreds of files in a codebase I'm not familiar with.
-
Building an Observability Stack with Docker
So, you will add one last container to allow us to visualize this data: Grafana, an open-source analytics and visualization platform that allows us to see traces and metrics simply. You can set Grafana to read data from both Tempo and Prometheus by setting them as datastores with the following grafana.datasource.yaml config file:
-
How to collect metrics from node.js applications in PM2 with exporting to Prometheus
In example above, we use 2 additional parameters: code (HTTP response code) and page (page identifier), which provide detailed statistics. For example, you can build such graphs in Grafana:
-
Root Cause Chronicles: Quivering Queue
Robin switched to the Grafana dashboard tab, and sure enough, the 5xx volume on web service was rising. It had not hit the critical alert thresholds yet, but customers had already started noticing.
What are some alternatives?
node_exporter - Exporter for machine metrics
Thingsboard - Open-source IoT Platform - Device management, data collection, processing and visualization.
prometheus - The Prometheus monitoring system and time series database.
Apache Superset - Apache Superset is a Data Visualization and Data Exploration Platform [Moved to: https://github.com/apache/superset]
exportarr - AIO Prometheus Exporter for Sabnzbd, Bazarr, Prowlarr, Lidarr, Readarr, Radarr, and Sonarr
Heimdall - An Application dashboard and launcher
dockprom - Docker hosts and containers monitoring with Prometheus, Grafana, cAdvisor, NodeExporter and AlertManager
Wazuh - Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
patchman - Patchman is a Linux Patch Status Monitoring System
Thingspeak - ThingSpeak is an open source “Internet of Things” application and API to store and retrieve data from things using HTTP over the Internet or via a Local Area Network. With ThingSpeak, you can create sensor logging applications, location tracking applications, and a social network of things with status updates.
chiamon - Example Chia monitoring stack
uptime-kuma - A fancy self-hosted monitoring tool