Zstandard - Fast real-time compression algorithm
List of tools & datasets for anomaly detection on time-series data.
The Numenta Anomaly Benchmark
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 stri
How to know how well my server is doing?
reddit.com/r/admincraft | 2021-01-14
Linus Torvalds on the importance of ECC in main memory (RAM)
news.ycombinator.com | 2021-01-03
Looks like `mcelog --client` might be a starting place? Feed that into your metrics pipeline and alert on it like anything else...
[P] Looking for Resources on Anomaly Detection
reddit.com/r/MachineLearning | 2020-12-31
p.p.s if curious here is a sort of first stab at what I built using PyOD to try add some anomaly detection to the open source monitoring agent where I work. https://github.com/netdata/netdata/tree/master/collectors/python.d.plugin/anomalies
netdata/netdata is an open source project licensed under GNU General Public License v3.0 only which is an OSI approved license.