July 18, 2023

Structured Logging in Phoenix Applications

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Structured Logging in Phoenix Applications

Source: appsignal.com

This article by Sophie DeBenedetto provides a comprehensive guide on implementing structured logging in a Phoenix LiveView application. The author emphasizes the significance of structured logging over unstructured logging for better searchability and analysis. The guide details the steps needed to configure both development and production environments to support structured logging using the logfmt format. In development, the LogfmtEx dependency is introduced for log formatting, while in production, AppSignal's logging features are leveraged. Alongside this, the author explores strategies for distinguishing between framework and application logs, suggesting suppression of noisy framework logs to reduce clutter. The article concludes with an exploration of how AppSignal can be used to correlate logs with other telemetry data like exception reports and traces for a more integrated observability solution. It offers practical advice and code snippets to empower Elixir developers to enhance their monitoring strategy effectively.

Understanding GraphQL Subscriptions in Elixir with Absinthe

In this blog post by Sapan Diwakar, he introduces readers to Absinthe, a toolkit for building a GraphQL API with Elixir. He explains the basics of GraphQL, the schema of a GraphQL API, and how to set up an Elixir app with Absinthe.

Aug 08, 2023

Using Whisper for Speech Recognition in Elixir Applications

In this blog post, Sean Moriarity introduces Whisper, an audio-speech recognition model developed by OpenAI. He explains the challenges and uses of audio-speech recognition and provides instructions on how to use Whisper in Elixir applications with the help of the Bumblebee library.

Mar 07, 2023

Using Scholar for Traditional Machine Learning in Elixir

Sean Moriarity discusses traditional machine learning in Elixir with Scholar, a set of machine learning tools built on top of Nx. He explains how Scholar offers implementations of non-deep-learning models like linear regression and logistic regression, and demonstrates how to fit and visualize a linear regression model using Scholar in Elixir.

May 09, 2023