🕵️ SicherheitslückenHak5: Hackers Just Poisoned the Rust Supply Chain | Threat Wire(01.09.2026 um 14:00 Uhr)
🕵️ SicherheitslückenHak5: Hackers Found a Way Into Humanoid Robots | Threat Wire(04.09.2026 um 15:04 Uhr)
🔧 AI Nachrichten Bits und so #1021 (Passwort für Laufwerk)(31.08.2026 um 22:15 Uhr)
🔧 AI Nachrichten Bits und so #1022 (Wie Weißbier)(06.09.2026 um 20:39 Uhr)
🍏 iOS / Mac OSHue-App 6.0 ist da: das sind die Neuerungen(07.09.2026 um 17:21 Uhr)
🕵️ SicherheitslückenHak5: Hackers Just Poisoned the Rust Supply Chain | Threat Wire(01.09.2026 um 14:00 Uhr)
🕵️ SicherheitslückenHak5: Hackers Found a Way Into Humanoid Robots | Threat Wire(04.09.2026 um 15:04 Uhr)
🔧 AI Nachrichten Bits und so #1021 (Passwort für Laufwerk)(31.08.2026 um 22:15 Uhr)
🔧 AI Nachrichten Bits und so #1022 (Wie Weißbier)(06.09.2026 um 20:39 Uhr)
🍏 iOS / Mac OSHue-App 6.0 ist da: das sind die Neuerungen(07.09.2026 um 17:21 Uhr)

🔧 Programmierung 🕛 kürzlich 3 Min Lesezeit
0

How Twitter, Instagram feed system made?

↗ Quelle (dev.to)
🗣️ Stimme:
📑 Inhaltsübersicht




The Big Picture



Even at the same moment, the feed you see on your screen differs from the one your friend sees. Why?



Personalized Feed



Because your activities—like follows, likes, comments, shares, and even blocks—are unique to you.




A feed system must tailor itself to show each user a personalized experience.







How Feed Systems Work



A feed system is generally divided into two main components to efficiently achieve personalized feeds:





  1. Feed Publishing System




    • Activated when a user creates a new post.

    • Includes tasks like authentication, rate limiting, and fanout services.




  2. Feed Reading System




    • Activated when a user opens the app to view their feed.

    • Handles dynamic updates, such as refreshing posts on-demand.

    • Powered by tools like Content Delivery Networks (CDNs) and caching systems.











Two Ways to Build Feeds



When a user creates a post, the system must determine how to distribute it to everyone who should see it (e.g., Instagram followers or Facebook friends).



This process, known as fanout, can happen in two ways:









1. Push Model (Fanout-on-Write)



Posts are distributed to followers as soon as they are created.



✔ Advantages:





  • Real-time updates: Feeds feel immediate.


  • Quick reads: Posts are preloaded into followers’ feeds.



✘ Disadvantages:





  • Hot Key Problem: Popular users with millions of followers (e.g., Elon Musk) require immense resources to update all feeds.
    > Example: One tweet from Elon Musk can trigger updates for over 100 million feeds.


  • Resource Waste: Updating inactive users' feeds consumes unnecessary computing power.









2. Pull Model (Fanout-on-Read)



Posts are fetched and added to a feed only when a user refreshes it.



✔ Advantages:




  • Optimized for inactive users: Resources are spent only when users actively check their feed.


  • No Hot Key Problem: System avoids bottlenecks caused by distributing posts to millions of followers at once.



✘ Disadvantages:





  • Slower reads: Fetching posts on demand can increase loading time.









3. Hybrid Model



Combines the strengths of both the Push and Pull Models to optimize performance and scalability.





  • Push Model: Used for most users to ensure fast, real-time feed updates.


  • Pull Model: Applied to high-profile users to handle the Hot Key Problem.



Example Scenario


A follower subscribes to both an average user and a celebrity:




  1. When the average user posts (Push Model), it instantly appears in the follower’s feed.

  2. When the celebrity posts (Pull Model), the post is only added when the follower refreshes their feed.









Additional Considerations






Web Server Responsibilities



When a user creates a post, the web server handles the following:





  1. Authentication: Verify the user making the request.


  2. Rate Limiting: Prevent spam by restricting the frequency of posts.


  3. Post Handling:


    • Save the post (usually as metadata to conserve storage).

    • Distribute it to followers.

    • Send notifications about the new post.











Graph Databases



Graph databases are ideal for managing relationships (e.g., friends, followers) in feed systems. They allow:




  • Efficient retrieval of user relationships.

  • Seamless integration with both Push and Pull Models.









Caching and Message Queues



These tools enhance speed and efficiency:





  1. Caching Layers: Separate caches for:





    • Feed IDs


    • Post Content


    • Relationship Data


    • User Interactions (likes, comments)


    • Metrics (follower counts, engagement stats)



  2. CDNs: As a distributed caching layer, CDNs improve global feed delivery.







By blending the Push, Pull, and Hybrid Models with advanced data management techniques, feed systems deliver fast, personalized, and scalable user experiences. 🌟

Vollständiger Original-Bericht
Ausführliche Details, Code-Beispiele & Hersteller-Stellungnahme auf dev.to.
↗ Original-Artikel auf dev.to lesen
Wie bewertest du diesen Beitrag?
1 Klick Feedback
Teilen mit Netzwerk & Team:

Community-Analysen & Experten-Meinungen 0

Verfasse deine eigene Analyse, teile Workarounds oder diskutiere diesen Vorfall im Blog.
Noch keine Community-Analyse verfasst. Markiere einen Textabschnitt oder klicke oben auf Eigene Analyse verfassen“!
Community Pulse: Relevanz-Einschätzung
1 Klick Experten-Votum
🔴 Akute Relevanz 0%
🟡 In Evaluierung 0%
🟢 Keine Auswirkung 0%
Spannende Innovation 0%
Verwandte Story-Cluster & Quellen (Vektor-KI)
Port 8095 Engine
1 Quelle
Hackers Just Poisoned the Rust Supply Chain | Threat Wire
1 Quelle
Hackers Found a Way Into Humanoid Robots | Threat Wire
1 Quelle
Bits und so #1021 (Passwort für Laufwerk)
Ähnliche Beiträge
🔍 Verwandte News

Auch interessante Nachrichten How Twitter, Instagram feed system made?

Thematisch verwandte Begriffe: Twitter, Instagram, feed, system · 6 Treffer

Laden...

Videos werden geladen ...

Laden...

Beiträge werden geladen ...

Laden...

Videos werden geladen ...

Laden...

Beiträge werden geladen ...

Laden...

Videos werden geladen ...

Laden...

Beiträge werden geladen ...

Laden...

Videos werden geladen ...

Laden...

Beiträge werden geladen ...

Laden...

Videos werden geladen ...