jm + vividcortex   3

Why Percentiles Don’t Work the Way you Think
Baron Schwartz on metrics, percentiles, and aggregation. +1, although as a HN commenter noted, quantile digests are probably the better fix
performance  percentiles  quantiles  statistics  metrics  monitoring  baron-schwartz  vividcortex 
december 2015 by jm
Nobody Loves Graphite Anymore - VividCortex
Graphite has a place in our current monitoring stack, and together with StatsD will always have a special place in the hearts of DevOps practitioners everywhere, but it’s not representative of state-of-the-art in the last few years. Graphite is where the puck was in 2010. If you’re skating there, you’re missing the benefits of modern monitoring infrastructure.

The future I foresee is one where time series capabilities (the raw power needed, which I described in my time series requirements blog post, for example) are within everyone’s reach. That will be considered table stakes, whereas now it’s pretty revolutionary.


Like I've been saying -- we need Time Series As A Service! This should be undifferentiated heavy lifting.
graphite  tsd  time-series  vividcortex  statsd  ops  monitoring  metrics 
november 2015 by jm
VividCortex uses K-Means Clustering to discover related metrics
After selecting an interesting spike in a metric, the algorithm can automate picking out a selection of other metrics which spiked at the same time. I can see that being pretty damn useful
metrics  k-means-clustering  clustering  algorithms  discovery  similarity  vividcortex  analysis  data 
march 2015 by jm

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