Challenge: connection latency and token overhead  Consider a cloud-native application deployed in Azure App Service or Kubernetes (AKS) that needs to query an Azure SQL Database for real-time data....

1. Introduction MonitorLiftApp is a modular Python application designed to export telemetry data from Azure Application Insights to custom sinks such as Azure Data Lake Storage Gen2 (ADLS). This so...

Introduction  As a Cloud Solution Architect working with Dynamics 365 Customer Engagement (D365 CE) customers, I often see organizations building high-volume integrations using the ServiceClient SD...

Introduction: Azure offers Trusted Launch. This seamless solution is designed to significantly enhance the security of our Generation 2 virtual machines (VMs), providing robust protection against a...

Introduction:   Azure Pacemaker offers a centralized management platform that streamlines the process of monitoring and maintaining pacemakers. With this innovative service, you can ensure the safe...

📘 Preface  This post demonstrates one method to export Dynamics 365 Customer Engagement (CE) Dataverse organization data using the Office 365 Management Activity API and Azure Functions. It is fea...

  This blog explores common pitfalls and presents a scalable pattern using the .Clone() method to ensure thread safety, avoid redundant authentication, and prevent SNAT port exhaustion. 🗺️ Conne...

👋 Introduction This document introduces a practical approach for integrating Application Insights logging into Dynamics 365 plugins using the ILogger interface alongside the existing ITracingServi...

Introduction  This document explores a performance optimization technique for Dynamics 365 plugins by implementing centralized token caching using static variables in a plugin base class. Since plu...

Key Insights for Spark Job Optimization The Spark UI is your X-ray into application execution: It provides real-time and post-mortem insights into every job, stage, task, and resource usage, movi...