Getting Started with Azure CLI 2.0

Older days we used to manage azure resources through AzureRM PowerShell modules . This was very much flexible for any Azure Administrator or Developers to run Automated Deployments to Azure Resource Manager resources. Azure CLI  is the next improved version with simplified cmdlets to make life easier and it is cross-platform. You can use Azure… Continue reading

NDepend–VSTS/Azure DevOps Integration–Part 01

In my previous article I wrote an introductory about NDepend and how it will be useful for Agile Team to ensure code quality. In that article we found how we can use NDepend in a developer machine. Now with this article we will familiarize ourselves in using NDepend in your build automation pipeline in your… Continue reading

70-777 – Azure Cosmos DB Certification Exam (BETA)

“70-777: Implementing Microsoft Azure Cosmos DB Solutions”  is the new Microsoft certification in the town for any Developer or Architect who leverages Azure Cosmos DB. If you understand how Cosmos DB database can be configured and consumed using platform agnostic Cosmos DB API, this certification will help you prove your expertise. To read more about… Continue reading

Enterprise Architecture

What is an Enterprise Architecture? In this modern world there is lots of confusion about enterprise architecture, in that sense I would write a short scribble about enterprise architecture or called as EA in short. I will start with a definition by Architecture and Governance Magazine, Issue 9-4, November (2013) : Enterprise architecture (EA) is… Continue reading

Azure Cosmos DB – Change feed support(PREVIEW)–available

Today Microsoft announced the preview of Change feed Support for Azure Cosmos DB, which allows you to build scalable solutions. By default change feed will be enabled in all the accounts. Change feed provides an output of sorted list of documents that has been changed in the order in which they are modified by client… Continue reading

Embedding Fine-Tuning: Training Custom Embeddings for Domain-Specific Retrieval

Introduction: Off-the-shelf embedding models work well for general text, but domain-specific applications often need better performance. Fine-tuning embeddings on your data can dramatically improve retrieval quality—turning a 70% recall into 90%+ for your specific use case. The key is creating high-quality training data that teaches the model what “similar” means in your domain. This guide… Continue reading