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plants, our homes, our cars, etc. — is getting instrumented for measurement of time series data.
These sensors are looking at pressure, temperature, speed, heart rate, volume, light, and so much
more, and quite often, some action needs to be taken as a result of changes over time in that data.
The sensors all around us are continuously collecting and monitoring data to help us (or programs)
make better decisions.
Instrumentation of everything is the way of the future, and a time-series database and associated
tools will be necessary to collect, analyze, and act on data when it is still meaningful. And then in
the IT world, the virtualization of our systems has created a strong use case for the InfluxData
Platform. It started with virtual machines, so instead of having one server, you have five. Then
VLANs came along, so now there are multiple LANs talking to multiple VMs on one machine.
Now we have containers, so maybe there is one server running six VMs and 40 containers. Then
each of those containers has a set of microservices.
What has happened is that the whole software infrastructure is ephemeral; everything is virtual,
portable, temporary, up and down. However, we still need a real-time view of what’s happening
within these systems. Thus, the software is being instrumented to provide real-time situational data,
or what’s called observability. It provides a system of record to capture all those metrics and events
that are coming off the software infrastructure and the hardware infrastructure and stores them all in
one place. Now it’s possible to see what is happening with the infrastructure. And if something
happens that is a concern, there is an awareness of it and the system has a record of it. Taking this a
step further, it’s possible to correlate events and metrics to understand why an SLA is or is not
being met.
Instrumentation of everything is the way of the future, and a time-series database and associated
tools — such as the InfluxData Platform — will be necessary to collect, analyze and act on data
when it is still meaningful. The idea of measuring everything is to become more data-driven as a
business, to be able to make better business decisions and take timely actions based on events,
metrics, or other time-based data. This is happening across all industries as companies use their
digital transformations to change the way they do business.
See more at:
https://www.networkworld.com/article/3268838/internet-of-things/in-the-iot-
world-general-purpose-databases-cant-cut-it.html
