Content by TulikaC (13)

TulikaC shares a practical cheat-sheet for adding OpenTelemetry sidecar extensions to PHP, Python, Node.js, and .NET apps running on Azure App Service for Linux, including setup steps, default settings, debugging tips, and sample repos.

TulikaC explains how to connect Azure App Service for Linux to Elastic APM using an OpenTelemetry sidecar extension—covering setup steps, app settings, and validation in Kibana.

TulikaC explains how developers can add observability to PHP Linux web apps using Azure App Service sidecar extensions and OpenTelemetry – Azure Monitor. This detailed guide covers setup, deployment, and verification in Application Insights.

TulikaC introduces AI Playground for Azure App Service on Linux, a built-in tool that lets developers test prompt interactions with Small Language Models, measure performance, and easily grab code samples for integration.

TulikaC explains recent upgrades for building and deploying Python apps on Azure App Service for Linux, covering modern tools like pyproject.toml, uv, Poetry, and offering improved DevOps workflows.

TulikaC announces that Node.js 24 LTS is now supported on Azure App Service for Linux, enabling developers to deploy faster, modern JavaScript apps with improved testing and deployment capabilities.

TulikaC presents a Python and OpenCV-based web app for enhancing low-light images, with practical deployment instructions for Azure App Service. This guide covers the key steps in setting up the enhancement pipeline and deploying using Azure Developer CLI.

TulikaC explains how to use GitHub Actions and Azure Pipelines templates to deploy helper sidecars with Azure App Service for Linux, making CI/CD setup seamless for various runtime and container scenarios.

TulikaC explains how Azure App Service for Linux is transitioning its new application runtimes to Ubuntu LTS, outlining the changes for developers and the operational benefits of this update.

TulikaC introduces support for Python 3.14 on Azure App Service for Linux, explaining performance improvements and offering migration steps for developers to upgrade and test their web applications.

TulikaC walks through building a Python app with Azure AI Vision and GPT-4o-mini to generate image captions, deployed securely to Azure App Service using Streamlit for the UI.

TulikaC outlines how to combine GPT-OSS-20B and a Flask web app as containers within Azure App Service, giving developers a robust pattern for running open-weight language models with cloud scalability and minimal infrastructure overhead.

TulikaC guides readers through deploying a LangChain-powered conversational AI app on Azure App Service, highlighting secure authentication, streaming GPT-4o responses, and rapid deployment techniques.