Setting up Local NPM repository to Speedup Dev/CI Builds

As a modern day JavaScript developer working with Node.js and NPM, it has been always any developer’s case to clean up local node modules sometimes when local build is broken. It is a tedious tasks to cleanup %appData%\npm-cache  to do a fresh install of all the modules again. Depending on the number of modules your […]

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Introduction to Kubernetes

What is Kubernetes? Kubernetes (a.k.a K8s) is an open-source system for automating deployment, scaling and management of containerized applications that was originally designed by Google and now maintained by the Cloud Native Computing Foundation. What Kubernetes can do? Kubernetes has a number of features in cloud computing world, it can be thought as a : A […]

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Azure Cosmos DB name changes

An update from Microsoft Azure says that – As part of the transition from Azure DocumentDB to Azure Cosmos DB, the service and resource names are changing from “Azure DocumentDB” to “Azure Cosmos DB” on June 1, 2018. How does that Impact? When Microsoft introduced Cosmos DB, then have ensured that there was a smooth […]

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Kubernetes vs Service Fabric

What is the difference between Kubernates and Service Fabric? It is a common question today among most of the business stakeholders, infrastructure specialists, and information technology architects.                   To answer in simpler words, quoting from this Reddit log : Kubernetes manage/orchestrate containers and applications within.  ServiceFabric is a […]

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What’s Azure Container Service (ACS/AKS)

I will start with history: Sometime around 2016, Microsoft launched an IaaS service called Azure Container Service a.k.an ACS serves as a bridge between Azure Ecosystem and existing container ecosystem being used widely by the developer community around the world. It helps as a gateway for infrastructure engineers and developers to manage underlying infrastructure such as […]

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Context Window Management: Maximizing LLM Input Utilization

Introduction: Context windows are the lifeblood of LLM applications—they determine how much information your model can process at once. Even with 128K+ token models, you’ll hit limits when dealing with long documents, conversation histories, or multi-document RAG. Poor context management leads to truncated information, lost context, and degraded responses. This guide covers practical strategies for […]

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