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Was just going to post the same, this seems great for rolling analytics on software or VMs, as a backing for monitoring infrastructure and pairing with Grafana.
by chrisdalke 6y ago
Was just going to post the same, this seems great for rolling analytics on software or VMs, as a backing for monitoring infrastructure and pairing with Grafana.
However for IoT or hardware time series I’m left with a few questions... A few things it seems are not possible:
- An IoT device with limited network connection that batches data points while offline
- manually loading time series data from disk at a later date on an offline device such as a weather station
- loading data “in the future” (data points with bad/erratic timestamps, memoized predictions)
I guess the hardware / IoT use case is pretty small compared to infrastructure monitoring, where Timestream’s design choices make a lot of sense.
- foxrob92 6y ago>I guess the hardware / IoT use case is pretty small OSIsoft was bought earlier this year by AVEVA for $5 billion[1]. OSIsoft's offering is centered around storing industrial control system data (the buzzword-version is IIoT, though that is a bit more broad). They're also not the only player in this space. Many of the industrial automation vendors also have their own offerings. [1] https://www.bloomberg.com/news/articles/2020-08-25/aveva-to-buy-industrial-software-firm-osisoft-in-5-billion-deal https://www.bloomberg.com/news/articles/2020-08-25/aveva-to-...
- valyala 6y agoTake a look at vmagent [1]. It has been designed to run and collect monitoring data on IoT and edge devices and then upload it to remote storage in short time frames when connection to the storage can be established. There are remote storage systems such as VictoriaMetrics, which support loading historical data out of the box [2]. [1] https://victoriametrics.github.io/vmagent.html https://victoriametrics.github.io/vmagent.html [2] https://victoriametrics.github.io/#backfilling https://victoriametrics.github.io/#backfilling