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Tuhin Paul
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Exploring the world, one topic at a time!

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Machine Learning

From Neural Networks to Transformers – The Basics

1w201Video
Vue.js

React vs Vue: Optimizing Re-renders & Dependency Management

2w748Video

Effective scalability combines load balancing and autoscaling. Use L7 (HTTP-aware) balancers for intelligent routing (e.g., path-based, header-based) in microservices, and L4 for high-performance TCP/UDP traffic. Pair with autoscaling horizontal pod autoscaling in Kubernetes or cloud-based instance groups that reacts to real-time metrics like CPU, memory, or request rate.

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Blazor

Choosing Your Blazor: Server vs. WASM

3w484Video
.NET Core

How I Built Observability for 10M+ Daily Requests in .NET Microservices (W...

3w527Video
AI

Re: Why Are Chunking and Embedding Essential in AI File Storage?

Dec 01Forum
Python

Enterprise-Grade Path Parsing in Python: Securely Extracting Filename, Ext...

Dec 017290Article
AI

Re: Why Are Chunking and Embedding Essential in AI File Storage?

Nov 30Forum
Python

The Kronecker Product: Powering Quantum Simulations in Real Time in Python

Nov 279380Article
LLMs

Beyond Chatbots: Auto-Regressive LLMs as Real-Time Enterprise Forecasting ...

Nov 276330Article
LLMs

Telecom Tower Assistant: Multi-Modal LLM's for Field Service Repairs

Nov 254380Article
Azure

Observability in Azure Functions: Monitoring, Metrics

Oct 241.1k0Article
Azure

Cold Starts in Azure Functions and How the Premium Plan Solves Them

Oct 243.8k0Article
Azure

Secure Configuration for Azure Functions Using Azure Key Vault References

Oct 241.9k0Article
Azure

Azure Functions at the Edge: IP Restrictions and Azure AD Authentication i...

Oct 241.2k0Article
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