NAB
Netdata
| NAB | Netdata | |
|---|---|---|
| 3 | 118 | |
| 1,895 | 68,252 | |
| 0.8% | 0.7% | |
| 0.0 | 10.0 | |
| 10 months ago | 2 days ago | |
| Jupyter Notebook | C | |
| GNU Affero General Public License v3.0 | GNU General Public License v3.0 only |
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.
NAB
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Kafka Stream Processing in SigNoz - an opensource DataDog alternative
u/buzzwordd we will have an open-source anomaly detection framework that will work with SigNoz and Prometheus as a plugin. We did a small POC with some algorithms at https://github.com/numenta/NAB benchmarks and see the relevance with unsupervised and real-time training algorithms.
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Does anyone here use artificial intelligence and machine learning with their jobs?
If you need realtime training on unsupervised data, have a look at https://github.com/numenta/NAB and the benchmark solutions. I played with them some time ago and the results seemed interesting
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[P] Looking for Resources on Anomaly Detection
Also Numenta NAB paper is a good starting point. https://github.com/numenta/NAB
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 β 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 β 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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ΞΌMon: 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-TS-anomaly-detection - List of tools & datasets for anomaly detection on time-series data.
Zabbix - Real-time monitoring of IT components and services, such as networks, servers, VMs, applications and the cloud.
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.
cadvisor - Analyzes resource usage and performance characteristics of running containers.
signoz - SigNoz is an open-source observability platform native to OpenTelemetry with logs, traces and metrics in a single application. An open-source alternative to DataDog, NewRelic, etc. π₯ π₯. π Open source Application Performance Monitoring (APM) & Observability tool
LibreNMS - Community-based GPL-licensed network monitoring system
ElastiFlow - Network flow analytics (Netflow, sFlow and IPFIX) with the Elastic Stack
Munin - Main repository for munin master / node / plugins
Nagios - Nagios Core
node_exporter - Exporter for machine metrics
Performance Co-Pilot - Performance Co-Pilot
truenas-influxdb-grafana - TrueNAS customized dashboard using Grafana and InfluxDb time series database