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Messaging Platform with Limited TPS based on the vendor

Messaging Platform with Limited TPS based on the vendor

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This highly available,horizontally scalable notification platform decouples message ingestion from delivery using an asynchronous,event-driven architecture to route messages across multiple channels and third-party vendors while strictly respecting dynamic...

Technical Hierarchy of AI Agents

Technical Hierarchy of AI Agents

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Below is from Aurimas Griciūnas showing hierarchical layers for AI Agents.Sometimes 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 might seem simple from the outside.They are not 👇There are many moving pieces that production ready Agentic Systems rely on. I like to split the 𝗛𝗶𝗲𝗿...

The Concept of Scaffolding in AI Agents

The Concept of Scaffolding in AI Agents

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1.Original Meaning of "Scaffold"The term scaffold originates from physical construction and was later adapted into developmental psychology and education before being applied to computer science and artificial intelligence:Physical Construction: A scaffold...

GPU & LLM Cluster Infrastructure & Task Scheduling Architecture

GPU & LLM Cluster Infrastructure & Task Scheduling Architecture

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Designing a robust system infrastructure for allocating GPU and LLM clusters requires an optimized task management approach to address severe resource limitations.Because these computational clusters operate under strict hardware constraints,the infrastruc...

Why Reranking is Crucial for RAG and Agentic AI Systems?

Why Reranking is Crucial for RAG and Agentic AI Systems?

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1.Initial Retrieval Prioritizes Speed Over PrecisionIn standard RAG systems,the first-stage retrieval (using dense embeddings or sparse keyword matching) is designed to scan vast databases rapidly.It focuses on speed and breadth,fetching a broad list of th...

The Ultimate Data Engineering Roadmap

The Ultimate Data Engineering Roadmap

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Below is from Alex Xu.The Data Engineering RoadmapData engineering has become the backbone of effective data analysis.It involves managing,processing,and optimizing data to derive actionable insights.Here’s a roadmap that can help you get better at data e...

Understanding Amazon Bedrock Agent for AI-based ChatBot

Understanding Amazon Bedrock Agent for AI-based ChatBot

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What is Amazon Bedrock?Amazon Bedrock is a fully managed service that makes it easy for customers to build and scale generative AI applications using a variety of foundation models (FMs).Its functional role is to provide access to these powerful,pre-traine...

Rust-GPU-tools for interacting with various GPU APIs

Rust-GPU-tools for interacting with various GPU APIs

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Rust-GPU-tools is a collection of crates providing Rust bindings and utilities for interacting with various GPU APIs,including CUDA,Vulkan,and OpenCL.While it offers support for OpenCL through the ocl crate,it's not a strict dependency; you can use other p...

Difference between CPU and GPU - Why GPU is faster than CPU?

Difference between CPU and GPU - Why GPU is faster than CPU?

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CPUs (Central Processing Units) are designed for general-purpose tasks,prioritizing sequential processing and complex instructions,while GPUs (Graphics Processing Units) are specialized for parallel processing of many simpler instructions simultaneously.GP...

AWS Lambda Code Example based on Python

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AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers.You can upload your code (in various languages) and Lambda automatically executes it in response to events,like API calls,file uploads,or database up...

Getting Started with FAISS: A CentOS 7 Installation Guide

Getting Started with FAISS: A CentOS 7 Installation Guide

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What is FAISS?FAISS (Facebook AI Similarity Search) is a library developed by Facebook AI Research for efficient similarity search and clustering of dense vectors.It provides algorithms that search for points in a set of vectors that are closest to a given...

NVIDIA CUDA library which can be integrated with C/C++

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The NVIDIA CUDA library is a parallel computing platform and programming model that allows software developers to use NVIDIA GPUs for general-purpose processing – an approach known as GPGPU.It provides a C / C++ API,including header files and libraries,en...

Building an AWS SAM(Serverless Application Model) Project

Building an AWS SAM(Serverless Application Model) Project

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AWS SAM (Serverless Application Model) is a framework that simplifies the building,deploying,and managing of serverless applications on AWS.It uses a YAML-based syntax to define the resources your application needs,such as Lambda functions,API Gateway endp...

AWS Lambda Example based on Teraform

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AWS Lambda is a serverless compute service that lets you run code without provisioning or managing servers.You can upload your code and Lambda will automatically run it in response to events,such as HTTP requests,file uploads,or database changes.This allow...

Uvicorn, Gunicorn: Proving Your Production Prowess

Uvicorn, Gunicorn: Proving Your Production Prowess

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If you've heard of uvicorn,you know Docker.If you've heard of gunicorn,you've served at a production level.Do you agree?. uvicorn vs.gunicorn: The Core Difference:uvicorn: An HTTP server primarily designed for Ruby applications (using the Rack interface).I...

Enterprise-Scale 100k+ TPS Order Tracking System Architecture

Enterprise-Scale 100k+ TPS Order Tracking System Architecture

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System Architecture OverviewTo handle 100,000+ Transactions Per Second (TPS) for order inquiries,the system must decouple write operations from read operations.A traditional relational database (RDBMS) cannot handle this scale of read traffic directly.This...

How to Design Redis Caching in Infrastructure Architecture

How to Design Redis Caching in Infrastructure Architecture

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Core Architectural PlacementWhen drawing a Redis caching infrastructure,you must place Redis strategically between your application tier and your persistent database tier.The architecture is typically represented in a three-tier model::Application Tier: Ac...