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 […]
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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 […]
Read more →Prompt Debugging Techniques: Systematic Approaches to Fixing LLM Failures
Introduction: Prompt debugging is an essential skill for building reliable LLM applications. When prompts fail—producing incorrect outputs, hallucinations, or inconsistent results—systematic debugging techniques help identify and fix the root cause. Unlike traditional software debugging where you can step through code, prompt debugging requires understanding how language models interpret instructions and where they commonly fail. This […]
Read more →LLM Monitoring and Alerting: Building Observability for Production AI Systems
Introduction: LLM monitoring is essential for maintaining reliable, cost-effective AI applications in production. Unlike traditional software where errors are obvious, LLM failures can be subtle—degraded output quality, increased hallucinations, or slowly rising costs that go unnoticed until the monthly bill arrives. Effective monitoring tracks latency, token usage, error rates, output quality, and cost metrics in […]
Read more →Embedding Space Analysis: Visualizing and Understanding Vector Representations
Introduction: Understanding embedding spaces is crucial for building effective semantic search, RAG systems, and recommendation engines. Embeddings map text, images, or other data into high-dimensional vector spaces where similar items cluster together. But how do you know if your embeddings are working well? How do you debug retrieval failures or understand why certain queries return […]
Read more →Prompt Templates and Management: Building Maintainable LLM Applications
Introduction: As LLM applications grow in complexity, managing prompts becomes a significant engineering challenge. Hard-coded prompts scattered across your codebase make iteration difficult, A/B testing impossible, and debugging a nightmare. Prompt template management solves this by treating prompts as first-class configuration—versioned, validated, and dynamically rendered. A good template system separates prompt logic from application code, […]
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