awesome-TS-anomaly-detection
Netdata
| awesome-TS-anomaly-detection | Netdata | |
|---|---|---|
| 72 | 118 | |
| 2,811 | 68,252 | |
| - | 0.5% | |
| 0.0 | 10.0 | |
| 2 months ago | about 8 hours ago | |
| C | ||
| - | GNU General Public License v3.0 only |
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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.
awesome-TS-anomaly-detection
Netdata
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A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
netdata.cloud — Netdata is an open-source tool to collect real-time metrics. It's a growing product and can also be found on GitHub!
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The Hidden Costs of Monitoring
Netdata is designed with efficiency, scalability, and flexibility in mind, aiming to address most of the challenges associated with both open-source tools and commercial SaaS offerings.
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Looking for a way to remote in to K's of raspberry pi's...
Monitoring = netdata on each RPi https://www.netdata.cloud/ binded to the vpn interface being scraped into a prometeus thaons https://thanos.io/ setup with grafana to give management the Green all is good screens (very important).
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netdata is suddenly reporting 1hour_ecc_memory_correctable like every day
We run netdata to have a bit of insight into whats happening on the 10+ dedicated servers in Falkenstein. So far we have seen a 1hour_ecc_memory_correctable about once a month. Suddenly we get 1hour_ecc_memory_correctable like every day from different servers. Any ideas why that could be happening?
- Netdata v1.43.0 – with systemd-journal log integration
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Netdata: query, explore and visualize SystemD Journals!
Documentation and source code of this plugin: https://github.com/netdata/netdata/tree/master/collectors/systemd-journal.plugin
Home Page and source code: https://github.com/netdata/netdata
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Show HN: The simplest centralized logs management ever, with SystemD and Netdata
I started the discussion, and offered a solution too:
https://github.com/netdata/netdata/discussions/16136
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μMon: Stupid simple monitoring
hey - I work on ML at Netdata (disclaimer).
We have a big PR open and under review at moment that brings in a lot more logs capabilities: https://github.com/netdata/netdata/pull/13291
We also have some specific logs collectors too - i think in here might be best place to look around at the moment, should take you to the logs part of the integrations section in our demo space (no login needed, sorry for the long horrible url, we adding this section to our docs soon but at moment only lives in the app)
https://app.netdata.cloud/spaces/netdata-demo/rooms/all-node...
- Netdata
What are some alternatives?
Awesome-Geospatial - Long list of geospatial tools and resources
Zabbix - Real-time monitoring of IT components and services, such as networks, servers, VMs, applications and the cloud.
openHistorian - The Open Source Time-Series Data Historian
cadvisor - Analyzes resource usage and performance characteristics of running containers.
awesome-metric-learning - 😎 A curated list of awesome practical Metric Learning and its applications
LibreNMS - Community-based GPL-licensed network monitoring system
NAB - The Numenta Anomaly Benchmark
ElastiFlow - Network flow analytics (Netflow, sFlow and IPFIX) with the Elastic Stack
A3 - Inspired by recent advances in coverage-guided analysis of neural networks, we propose a novel anomaly detection method. We show that the hidden activation values contain information useful to distinguish between normal and anomalous samples. Our approach combines three neural networks in a purely data-driven end-to-end model. Based on the activation values in the target network, the alarm network decides if the given sample is normal. Thanks to the anomaly network, our method even works in strict semi-supervised settings. Strong anomaly detection results are achieved on common data sets surpassing current baseline methods. Our semi-supervised anomaly detection method allows to inspect large amounts of data for anomalies across various applications.
Munin - Main repository for munin master / node / plugins
pyod - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
Nagios - Nagios Core