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Designing Instagram

High Scalability

Design a photo-sharing platform similar to Instagram where users can upload their photos and share it with their followers. High Level Design. Architecture. We will use a graph database such as Neo4j to store the information. Component Design. API Design. API Design. Problem Statement. Data Models.

Design 334
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Scalable Annotation Service?—?Marken

The Netflix TechBlog

Scalable Annotation Service — Marken by Varun Sekhri , Meenakshi Jindal Introduction At Netflix, we have hundreds of micro services each with its own data models or entities. A data model in Marken can be described using schema — just like how we create schemas for database tables etc. So the amount of data stored can be large.

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What Should You Know About Graph Database’s Scalability?

DZone

Having a distributed and scalable graph database system is highly sought after in many enterprise scenarios. Do Not Be Misled Designing and implementing a scalable graph database system has never been a trivial task.

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Datadog Creates Scalable Data Ingestion Architecture

InfoQ

Datadog created a dedicated data ingestion architecture offering exactly-once semantics for their third-generation event store, Husky. The event-driven architecture (EDA) can accommodate bursts in traffic in the multi-tenant platform with reasonable ingestion latency and acceptable operational costs. By Rafal Gancarz

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QCon London: Meta Used Monolithic Architecture to Ship Threads in Only Five Months

InfoQ

The company leveraged Instagram's existing monolithic architecture and quickly iterated to create a new text-first microblogging service in record time. Zahan Malkani talked during QCon London 2024 about Meta’s journey from identifying the opportunity in the market to shipping the Threads application only five months later.

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Artificial Intelligence in Cloud Computing

Scalegrid

This article delves into the specifics of how AI optimizes cloud efficiency, ensures scalability, and reinforces security, providing a glimpse at its transformative role without giving away extensive details. Exploring artificial intelligence in cloud computing reveals a game-changing synergy.

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Sustainable IT: Optimize your hybrid-cloud carbon footprint

Dynatrace

Evaluating these on three levels—data center, host, and application architecture (plus code)—is helpful. Options at each level offer significant potential benefits, especially when complemented by practices that influence the design and purchase decisions made by IT leaders and individual contributors. We encourage you to take a look.

Cloud 211