Search Results for "network bandwidth monitor"

...Under the hood it uses containers and Container Networking Interface (CNI) along with the same core OpenFaaS components from the main project. To deploy microservices and functions that you can update and monitor remotely. When you don't have the bandwidth to learn or manage Kubernetes. To deploy embedded apps in IoT and edge use-cases. To distribute applications to a customer or client. You have a cost sensitive project - run faasd on a 1GB VM for 5-10 USD / mo or on your Raspberry Pi. When you just need a few functions or microservices, without the cost of a cluster.

Open source home automation that puts local control and privacy first. Powered by a worldwide community of tinkerers and DIY enthusiasts. Perfect to run on a Raspberry Pi or a local server. Frontend for Home Assistant. This is the repository for the official Home Assistant frontend. Once you have integrated all your devices at home, you can unleash Home Assistant’s advanced automation engine to make your home work for you. Home Assistant integrates with over a thousand different devices and...

This software is used to extract operational data from the EPEVER Triron solar-PV controller, including its PV power output, battery voltage, load current, device temperatute, etc. Data collection is done in two halves: a client ("solatonclient") that talks to the controller via a serial port and RS-485 adapter, and a server ("solatonserver") that stores the information in files. The "solatonclient" sends information to the "solatonserver" over the network, and because it does not...

Command line interface for testing internet bandwidth using speedtest.net. It is not a goal of this application to be a reliable latency reporting tool. Latency reported by this tool should not be relied on as a value indicative of ICMP style latency. It is a relative value used for determining the lowest latency server for performing the actual speed test against. Speedtest CLI brings the trusted technology and global server network behind Speedtest to the command line. ...

This project turns edge devices such as Raspberry Pi into an intelligent gateway with deep learning running on it. No internet connection is required, everything is done locally on the edge device itself. Further, multiple edge devices can create a distributed AIoT network. At DT42, we believe that bringing deep learning to edge devices is the trend towards the future. It not only saves costs of data transmission and storage but also makes devices able to respond according to the events shown in the images or videos without connecting to the cloud. One of the applications of this intelligent gateway is to use the camera to monitor the place you care about. ...