Author: Kailash Ramachandran

As a Software Consultant by trade, I excel in the intricate art of designing and developing software applications, skillfully navigating through complex technical puzzles. My professional life revolves around programming, but away from the computer, I'm an ardent sports aficionado. I actively participate in a variety of sports, savoring the exhilaration of competition and the joys of physical exertion. In moments of respite from the adrenaline of sports and the focus of coding, I retreat into the rich realms of literature. My love for reading is eclectic, spanning various genres, each quenching my endless curiosity and love for storytelling. More recently, I've embarked on a journey into writing, a venture where I channel my thoughts and imaginative flair into written expressions, exploring this new avenue of creativity with enthusiasm.

Power Apps Search Series – Introduction to Dataverse Search in Power Platform

Power Platform offers powerful search experiences across apps built on Dataverse but unlocking its full potential requires understanding how search behaves under the hood. In this series, we will explore Dataverse’s search capabilities for professional developers and solution architects. What Is Dataverse Search? Dataverse search is a full-text, relevance-based search engine integrated into the platform. … Continue reading Power Apps Search Series – Introduction to Dataverse Search in Power Platform →

Integrate Dataverse and Azure Event Hubs Seamlessly

In Part 1 and Part 2, we explored foundational Azure integration with Dataverse and different ways to interact with Dataverse data within Azure. Now in Part 3, we dive into the event streaming side of integration specifically using Azure Event Hubs to stream Dataverse data in near real-time. This is ideal for scenarios where you … Continue reading Integrate Dataverse and Azure Event Hubs Seamlessly →

Working with Dataverse Data in Azure – Practical Patterns & Considerations

In Part 1, we explored the why and how of Azure integration with Dataverse using Service Bus and Azure-aware plug-ins. Now in Part 2, we zoom into the real-world mechanics of working with Dataverse data inside Azure solutions. Whether you're building APIs, serverless workflows, or batch processes this post is your launchpad. Why Move Data … Continue reading Working with Dataverse Data in Azure – Practical Patterns & Considerations →

Foundations of Azure Integration with Dataverse

In the modern enterprise, data no longer lives in silos. Organizations rely on a diverse mix of applications, services, and platforms and Microsoft Power Platform is no exception. For businesses running on Dynamics 365 or Dataverse, Azure integration unlocks seamless connections with the broader Microsoft cloud ecosystem, enabling high-scale processing, real-time communication, and extensibility through … Continue reading Foundations of Azure Integration with Dataverse →

Extending the Power Apps Timeline: Displaying Attendance Records with a Custom Connector

Introduction: The Problem with the Default Timeline The Timeline control in model-driven apps is one of the most useful UI components for displaying activities, notes, and related records. But until recently, the scope was somewhat rigid you could only surface system-defined entities such as emails, appointments, and custom activities. What if you wanted to bring … Continue reading Extending the Power Apps Timeline: Displaying Attendance Records with a Custom Connector →

Mastering Alternate Keys in Dataverse: The Key to Seamless Integration, Upserts, and Sync

In the world of Dataverse and Power Platform development, GUIDs (record IDs) are often the go-to for identifying records. But in integration-heavy scenarios where external systems don’t (and shouldn’t) know about Dataverse-specific GUIDs there’s a smarter, more maintainable way to reference and sync data: Alternate Keys. In this deep dive, we’ll explore: What are alternate … Continue reading Mastering Alternate Keys in Dataverse: The Key to Seamless Integration, Upserts, and Sync →

From Field to AI-Powered Insight: Mastering Prompt Columns in Dataverse

The Power Platform has come a long way from building basic canvas and model-driven apps. With the introduction of AI Copilots and natural language experiences, there's a new frontier for makers and developers: integrating AI prompts directly into Dataverse through a Prompt Column. In this post, we’ll dive into: What is a Prompt Column? How … Continue reading From Field to AI-Powered Insight: Mastering Prompt Columns in Dataverse →

Prepopulate Model-Driven Forms Using Custom Query String Parameters in Power Apps

One of the most underused tricks in model-driven app development is the ability to pass data directly into a form via query string parameters and use that data to prepopulate fields when the form loads. Whether you're embedding forms in external portals, triggering them from other apps, or launching forms via buttons or Power Automate … Continue reading Prepopulate Model-Driven Forms Using Custom Query String Parameters in Power Apps →

Power Platform Performance : Verifying Network Throughput for Reliable Client Performance

You’ve optimized forms. You’ve cleaned up schema. You’ve eliminated blocking code. But your users are still complaining: “It’s fast for some people—but still slow for me!” That’s your cue to check the network. In this final part of the Power Platform Performance series, we’ll uncover how network capacity and throughput directly impact performance in model-driven … Continue reading Power Platform Performance : Verifying Network Throughput for Reliable Client Performance →

Power Platform Performance: Cleaning Schema with Object Checker

Forms may load fast, and your JavaScript may run smooth but if your Dataverse schema is bloated, inconsistent, or inefficient, performance will eventually take a hit. Welcome to Part 6 of our Power Platform Performance series. This time, we’re focusing on the often-overlooked foundation of any model-driven app: your schema. This post introduces the Object … Continue reading Power Platform Performance: Cleaning Schema with Object Checker →