Hello,

I am collecting operational data and of a dozen machines in InfluxDB 
(several series like temperature, pressure, power, etc.with unique machine 
tag keys).
These machines are located in "wild" and mainly connected to the internet 
via GSM (edge, 3G).
Connection is often slow and unreliable. For this reason, I am caching data 
locally and try to send it to the central server, every 5min (json).
Sometimes, the GSM connection is lost for a longer period of time. In such 
cases I just push the previous 24h data, once re-connected to the internet.
To sync an outage of several days is overkill via GSM. Currently, this data 
is basically lost.

For that reason I plan to run a local InfluxDB instance in the "wild", too.
Here I have a few question, but couldn't find a proper answer, yet.

1. Sure, I could locally query data and push it to the central server, as I 
do today. But, I wonder, if there is a better method?
    - Does the commercial version allow partly automatic replication?
    - Would Kapacitor maybe helpful in this matter?

2. Let's assume GSM was disconnected for a month and no data of this period 
was send to the central server. Some time later, I have physical access to 
the machine. 
    I think somewhere on github I read, that I can't take an 'influxd 
backup' on a flash stick and restore it later on the central server, since 
the meta data of all other machines would be overwritten. Is this still 
true? Is there a workaround?

And in general, what's best practice or your recommendation for such 
special scenarios?

Thanks & Best Regards,
Michael






 


 
   

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