baeke.info, page 16
Creating and deploying a model with Azure Machine Learning Service
In this post, we will take a look at creating a simple machine learning model for text classification and deploying it as a container with Azure Machine Learning service. This post is not intended to discuss the finer details of creating a text classification model. In fact, we will use the Keras library and its…
Azure Kubernetes Service and Azure Firewall
Deploying Azure Kubernetes Service (AKS) is, like most other Kubernetes-as-a-service offerings such as those from DigitalOcean and Google, very straightforward. It’s either a few clicks in the portal or one or two command lines and you are finished. Using these services properly and in a secure fashion is another matter though. I am often asked…
Securing access to and from Azure Functions
I am often asked how to secure access to and from Azure Functions that are not running in an App Service Environment (ASE). An App Service Environment allows you to safeguard your apps in a subnet of your Azure Virtual Network. In a sense, it gives you a private deployment of Azure App Service that…
Querying Postgres with GraphQL
I wanted a quick and easy way to build an API that retrieves the ten latest events from a stream of data sent to a TimescaleDB hypertable. Since such a table can be queried by any means supported by Postgres, I decided to use Postgraphile, which automatically provides a GraphQL server for a database. If…
Further improvements to the IoT Hub to TimescaleDB Azure Function
In the post Improving an Azure Function that writes IoT Hub data to TimescaleDB, we added some improvements to an Azure Function that uses the Event Hub trigger to write messages from IoT Hub to TimescaleDB: use of the Event Hub enqueuedTime timestamp instead of NOW() in the INSERT statement (yes, I know, using NOW() did…
Revisiting Rancher
Several years ago, when we started our first adventures in the wonderful world of IoT, we created an application for visualizing real-time streams of sensor data. The sensor data came from custom-built devices that used 2G for connectivity. IoT networks and protocols such as SigFox, NB-IoT or Lora were not mainstream at that time. We…
Improving an Azure Function that writes IoT Hub data to TimescaleDB
In an earlier post, I used an Azure Function to write data from IoT Hub to a TimescaleDB hypertable on PostgreSQL. Although that function works for demo purposes, there are several issues. Two of those issues will be addressed in this post: the INSERT INTO statement used the NOW() function instead of the enqueuedTimeUtc field;…
Dashboard your TimescaleDB data with Grafana
In an earlier post, I looked at storing time-series data with TimescaleDB on Azure Database for PostgreSQL. To visualize your data, there are many options as listed here. Because TimescaleDB is built on PostgreSQL, you can use any tool that supports PostgreSQL such as Power BI or Tableau. Grafana is a bit of a special…
Multi-Tier Bitnami Grafana Stack on Azure
After seeing some tweets about Bitnami’s multi-tier Grafana Stack, I decided to give it a go. On the page describing the Grafana stack, there are several deployment offerings: I decided to use the multi-tier deployment, which deploys multiple Grafana nodes and a shared Azure Database for MariaDB. On Azure, the Grafana stack is deployed via…
Azure Functions with Consumption Plan on Linux
In a previous post, I talked about saving time-series data to TimescaleDB, which is an extension on top of PostgreSQL. The post used an Azure Function with an Event Hub trigger to save the data in TimescaleDB with a regular INSERT INTO statement. The Function App used the Windows runtime which gave me networking errors…
