High level summary of capturing environmental data and visualizing on grafana using k8s ways — This post is a high level summary of the key moving parts in a Kubernetes based system running on Raspberry Pi’s that do the job of capturing IoT sensor data and funneling it all the way to Grafana dashboards in a pure cloud-native manner. My goal was to arrive at…

Capturing temperature, pressure and humidity values via pod spec — Inter-integrated circuit (I²C) protocol is one of the supported communication mechanisms to connect peripheral devices on Raspberry Pi. In this post we will look at working with BME280 sensor via Kubernetes pod. This will allow us to schedule a k8s workload to capture temperature, humidity and pressure values. The image…

Running TensorFlow image inference models in go-routines and saturating system resources — AI based image analysis techniques have come a long way in recent years. While image classification models can be trained from scratch it is often more practical to retrain an already trained model. This is called transfer learning. Read more about it in the link below. …

Let’s walk through a quick setup to define a workflow for serving a keras model packaged in a Go binary with TensorFlow backend engine… — Let’s walk through a quick setup to define a workflow for serving a keras model packaged in a Go binary with TensorFlow backend engine. Keras is a high level Python API that makes it very easy to construct a deep learning model. It can seamlessly operate with TensorFlow as one…

Steps to build TF library and integrate with Go code to achieve a portable binary output — TensorFlow is a very powerful computing platform, particularly for working with matrices, linear algebra and machine learning. Such computation can be very verbose and difficult to express in low level languages such as C and Go and we need an ability to design the computation in high level languages. …

Using nomad to deploy non-containerized workloads on Raspberry Pi Zero edge devices — Edge computing covers a wide spectrum of configurations from a multi-node Kubernetes cluster running as an edge unit to a single node Raspberry Pi Zero or perhaps a micro-controller sending data over MQTT channel. Each of these configurations requires a different way of thinking for workload management. For instance, if…

Recently I purchased a GPS sensor to integrate with Raspberry Pi. It’s been fun and a good learning experience to collect GPS data from it… — Recently I purchased a GPS sensor to integrate with Raspberry Pi. It’s been fun and a good learning experience to collect GPS data from it using Go code. The sensor I have is a PA1010D connected to a Raspberry Pi Zero W over I²C bus. …

Correlation of BME280 data with GPX data from Strava — BME280 sensor is a pressure, humidity and temperature sensor from Bosche and wonderfully packaged with I²C interface by Adafruit Industries, which makes it very easy to use with devices such as Raspberry Pi. I have written about monitoring temperature and humidity in the past and this post is about evaluating…

Delegate auth needs of your apps to k8s — Every API call to Kubernetes API server is made using an authorization bearer token. These tokens come in two flavors: Short lasting user identity tokens Long lasting service account tokens Both these tokens are so called JWT tokens, which are increasingly becoming a standard way to communicate identity during API…