Introduction: Prompt optimization is the systematic process of improving prompts to achieve better LLM outputs—higher accuracy, more consistent formatting, reduced latency, and lower costs. Unlike ad-hoc prompt engineering, optimization treats prompts as artifacts that can be measured, tested, and iteratively improved. This guide covers the techniques that make prompts more effective: structural patterns that improve […]
Read more →Author: Nithin Mohan TK
Hello Namaste! 👋🏻
I'm an accomplished Enterprise Solution Architect & Engineering Leader with 20+ years of progressive experience architecting, building, and scaling transformative enterprise solutions.
⚜️ Solution Architect / AI & Cloud 📌 Galway, Ireland
Scalability – Scale Out/In vs Scale Up/Down (Horizontal Scaling vs Vertical Scaling)
When you work with Cloud Computing or normal Scalable highly available applications you would normally hear two terminologies called Scale Out and Scale Up or often called as Horizontal Scaling and Vertical Scaling. I thought about covering basics and provide more clarity for developers and IT specialists. What is Scalability? Scalability is the capability of […]
Read more →Azure Tips: Service Bus vs Azure Queue
Azure Service bus is a queuing technology that supports advanced features and allows access by processes created using various technologies and running in different domains. It allows ability to publish a message to multiple subscribers. read more Azure Queue is another queuing technology. However, it does not support the ability to publish a message to […]
Read more →.NET Core 1.0.1 Update (September 2016) Available
Microsoft .NET Core team has released an update to .NET Core 1.0, versioned as “.NET Core 1.0.1”. Read more detailed updates from Microsoft Developer Announcement Blog: Announcing September 2016 Updates for .NET Core 1.0 You can read the release notes for .NET Core, ASP.NET Core and Entity Framework 1.0.1 to learn about the specific changes that […]
Read more →LLM Inference Optimization: From KV Cache to Speculative Decoding
Introduction: LLM inference optimization is the art of making models respond faster while using fewer resources. As LLMs grow larger and usage scales, the difference between naive and optimized inference can mean 10x cost reduction and sub-second latencies instead of multi-second waits. This guide covers the techniques that matter most: KV cache optimization to avoid […]
Read more →Redis Cache–Azure Plans
Azure Redis Cache, a secure data cache based on Open source Redis Cache, which will provide you a fully managed/serviced instance from Microsoft. Means you don’t have to bear the burden of managing the server/software patches etc.. What is Redis Cache? Redis is an open source (BSD licensed), in-memory data structure store, used as a […]
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