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1. #COOLTERM CONNECTION SAYS CLIENTCLIENTCLIENT SOFTWARE#
2. #COOLTERM CONNECTION SAYS CLIENTCLIENTCLIENT FREE#

Ooh – Raspberry Pi…I feel like I get to play with the cool kids. This is a simple prototype that will give me an idea how all the “goo” fits together. I will capture mqtt messages from a Monitor reading the current used by a lamp as I turn the lamp off and on. The goal of this post is to build what I call a “sacrificial draft” of the Collect and Visualize component of the HappyDay Neighborhood project. Dash – Puts together “the best of” Flask and plotly to make web pages with data visualization.peewee – Makes database inserts/queries easy.I’ll use Python as the programming language and hook together: The Raspberry Pi will also act as a web server to display visualizations of the energy data. In this prototype exploration, I use a Raspberry Pi 3 to collect readings coming in from the energy monitor using mqtt. So I changed direction on technologies to use for collecting and visualizing energy data: Hmmm….I just want to collect energy data and draw a line chart here, a bar chart there….

#COOLTERM CONNECTION SAYS CLIENTCLIENTCLIENT FREE#

Please note that the AWS Free Tier provides up to 750 hours per month of a single-AZ t2.micro.elasticsearch or t2.small.elasticsearch instance and 10GB per month of optional Amazon EBS storage (Magnetic or General Purpose), while you were exceeding the limitation of hours. Here’s part of a mail I got from AWS billing when I asked about charges: Although your account is eligible for the Free Tier, your usage charges were based on activity outside the specifications of the offer. Amazon’s charging capability – seemingly down to the micro transaction – is a true testimonial in their ability to suck up every penny on the table. In fact, I bumbled around so successfully that apparently in just one day I had blown through my free level and started to get charged. In my previous attempt at building a prototype back end for collecting and visualizing energy data, I used AWS Services.īumbling through the AWS services to do what I want felt like I was wading through something that is gooey, muddy, and slimy. This way I gain knowledge on what’s the best way to build what I want to deploy to others.

I find it is first best to try stuff out.

#COOLTERM CONNECTION SAYS CLIENTCLIENTCLIENT SOFTWARE#

But what should be displayed and how should it be displayed? This post is about coming up with a self contained, easy to use data collecting and visualization software that moves my thoughts farther in the direction of what concerns I need to think about before I figure out the best way to build an awesome experience. As in, it’s not hard to collect a lot of power readings. I’m getting my head around the collecting and visualizing of power readings.