#Load Balancing

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#Load Balancing Reel by @thatcodergirlie (verified account) - Comment "blog" & I'll share the blog link & my notes with you in your DM 🤝🏻

(Make sure to follow else automation won't work)

Topic: Load Balancing
31.2K
TH
@thatcodergirlie
Comment “blog” & I’ll share the blog link & my notes with you in your DM 🤝🏻 (Make sure to follow else automation won’t work) Topic: Load Balancing (How Flipkart handles 1000s orders / sec without crashing?) Save for your future interviews 📩 #dsa #systemdesign #tech #coding #codinglife #loadbalancing [dsa, system design, load balancing, tech]
#Load Balancing Reel by @codewithmukul (verified account) - Comment "Load" for the detailed blog & deep explanation.
Load Balancer explained in simple words 🚦

Ever wondered how big apps handle lakhs of users
85.7K
CO
@codewithmukul
Comment “Load” for the detailed blog & deep explanation. Load Balancer explained in simple words 🚦 Ever wondered how big apps handle lakhs of users at the same time without crashing? A Load Balancer acts like a traffic police — it distributes incoming requests across multiple servers so no single server gets overloaded. This improves performance, scalability, and availability, which is the core of system design and backend engineering. SystemDesign LoadBalancer BackendEngineering Scalability Microservices HighAvailability CloudComputing SoftwareEngineering TechReels CodeWithMukul #systemdesign #softwareengineer #interview #code #java
#Load Balancing Reel by @tech_rv17 - Load balancing 

#cybersecurity #networking #linux #aws #devops
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@tech_rv17
Load balancing #cybersecurity #networking #linux #aws #devops
#Load Balancing Reel by @pirknn (verified account) - Comment "LINK" to get links!

🚀 Want to really understand what a load balancer does instead of just memorizing definitions? This mini roadmap helps y
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@pirknn
Comment “LINK” to get links! 🚀 Want to really understand what a load balancer does instead of just memorizing definitions? This mini roadmap helps you go from beginner to actually using load balancers in real systems. 🎓 What is a LOAD BALANCER really about? Perfect starting point if you are new to load balancing. You will understand why modern backend systems rely on load balancers for scalability, reliability and high availability. Great for learning key ideas like distributing traffic, handling server overload and keeping applications online when traffic increases. 💻 What is a Load Balancer by IBM This is a clean and simple explanation from a trusted source. You will learn how load balancers fit into real world system design and understand concepts like reverse proxy, SSL termination, session handling and how traffic is managed across services and APIs. 🧪 you need to learn Load Balancing RIGHT NOW!! Now it is time to see load balancing in a more practical way. This resource helps you connect the theory to real setups, so you can understand how requests are routed, how multiple servers work together and how load balancing improves performance in actual projects. 💡 With these load balancing resources you will: Build a strong mental model for how traffic flows through backend systems Understand concepts like reverse proxy, health checks, failover and routing Gain practical knowledge you can use in backend projects, DevOps workflows and system design interviews If you are serious about backend engineering, DevOps, cloud or system design, learning load balancing is a must have skill. 📌 Save this post so you do not lose the roadmap. 💬 Comment “LINK” and I will send you all the links. 👉 Follow for more content on load balancing, system design and backend engineering.
#Load Balancing Reel by @codewithdeekeej - Your server is handling 100% of traffic alone.

Add a load balancer. Share the load.

Without load balancing:
-> all requests hit one server
-> respon
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@codewithdeekeej
Your server is handling 100% of traffic alone. Add a load balancer. Share the load. Without load balancing: -> all requests hit one server -> response time: 100ms -> 500ms -> timeout -> one crash = entire service down With load balancing: -> 3 servers split traffic equally (~33% each) -> response stays flat at 50ms -> any server can go down — others keep running One load balancer. 30x faster. Zero single point of failure. Save this for your next backend project. #backendDev #systemDesign #loadbalancing
#Load Balancing Reel by @journeywithpravallika - Same load balancer… different decisions 🤯
👉 Round Robin → sends requests one by one
👉 Least Connections → sends to least busy server
Restaurant ana
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@journeywithpravallika
Same load balancer… different decisions 🤯 👉 Round Robin → sends requests one by one 👉 Least Connections → sends to least busy server Restaurant analogy 🍽️ Would you stand in a long queue… or go to the shortest one? 😏 💣 Simple vs Smart Choose based on your system #systemdesign #distributedsystems #learncoding
#Load Balancing Reel by @mission_compile - 1 Million RPS isn't about code, it's about architecture.
Here are the 8 key layers to scale your API architecture.

Unlock 200+ practical problem-solu
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@mission_compile
1 Million RPS isn't about code, it's about architecture. Here are the 8 key layers to scale your API architecture. Unlock 200+ practical problem-solutions just like this one in the Ebook. Link in bio 1️⃣ Load Balancer 👉 Distributes traffic across multiple servers so no single machine melts. Example: 1M req/s split across 200 servers = only 5k req/s each. ⸻ 2️⃣ Horizontal Scaling 👉 Add more servers when traffic spikes instead of upgrading one big server. Example: Black Friday? Spin up 50 more API nodes in seconds. ⸻ 3️⃣ Caching Layer 👉 Serve frequent reads from Redis/Memcached to avoid DB overload. Example: User profile cached → avoids 10M database hits/day. ⸻ 4️⃣ CDN for Static Content 👉 Images and static assets load from edge servers near the user. Example: A user in Delhi gets images from a Delhi CDN node. ⸻ 5️⃣ Async Processing (Queues) 👉 Push heavy tasks to Kafka/SQS so API responds instantly. Example: Payment API returns fast → receipt email sent in background. ⸻ 6️⃣ Database Sharding 👉 Split huge datasets across multiple DB shards to scale reads/writes. Example: Users A–M on shard 1, N–Z on shard 2. ⸻ 7️⃣ Rate Limiting 👉 Block or throttle abusive clients to protect server capacity. Example: “100 requests/sec limit” prevents bots from killing the API. ⸻ 8️⃣ Lightweight Payloads 👉 Reduce JSON response size to cut latency and bandwidth. Example: Return only “id, name, price” instead of 20 unnecessary fields. #systemdesign #apidesign #scaling #1millionrps #distributedsystems #loadbalancing #caching #microservices #softwaredeveloper #programming #coding #devops #tech #backenddeveloper #backenddevelopment #api #interviews #database #learninganddevelopment #tech [API Design] [System Architecture] [API Scaling] [1 Million RPS] [Distributed Systems] [Load Balancing] [Database Sharding] [High Availability]
#Load Balancing Reel by @rajan.techie - Day 7/100 : How Load balancer distribute traffic among multiple servers?

It happens using the following load balancing algorithms 

1️⃣ Round Robin
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@rajan.techie
Day 7/100 : How Load balancer distribute traffic among multiple servers? It happens using the following load balancing algorithms 1️⃣ Round Robin Requests are distributed one by one in a circular order across all servers. No intelligence, just fairness. Works best when all servers have equal capacity and similar workloads. ⸻ 2️⃣ Weighted Round Robin Each server is assigned a weight based on its capacity. Stronger servers get more requests, weaker ones get fewer. Smarter than round robin when servers aren’t equal. ⸻ 3️⃣ Least Connections New requests are sent to the server with the fewest active connections. Balances load dynamically based on real-time usage. Great for handling uneven traffic or long-lived connections. ⸻ 4️⃣ Least Response Time Routes requests to the server that responds the fastest. Considers both response speed and active connections. Optimized for performance and low latency systems. ⸻ 5️⃣ Sticky Sessions (Session Affinity) A user is always routed to the same server once connected. Useful for maintaining session state (like login or cart). But can lead to uneven load if not handled carefully. #backend #100dayschallenge #systemdesign
#Load Balancing Reel by @kernx.ai - If your app hits 1M users tomorrow… which load balancing algorithm saves you?"
It depends on your traffic.

A load balancer distributes requests so no
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@kernx.ai
If your app hits 1M users tomorrow… which load balancing algorithm saves you?” It depends on your traffic. A load balancer distributes requests so no server gets overwhelmed. But the strategy matters. Round Robin Sends requests in order: Server 1 → 2 → 3 Works well when: Servers are identical Requests are similar in size Problem: it’s blind to load Least Connections Sends traffic to the least busy server Adapts in real time Handles uneven workloads better Example: One user uploads a huge file → that server gets busy Least Connections avoids it Round Robin doesn’t So: Simple apps → Round Robin Real-world apps (chat, streaming, APIs) → Least Connections At scale, performance isn’t just about servers. It’s about how you distribute pressure. Tags system design, load balancing, distributed systems, backend engineering, scalability, software engineering, cloud computing, real time systems, devops, technology #programming #tech #computerscience #engineering
#Load Balancing Reel by @civilsoiltech - Point Load Test - used to determine the strength index of rock under concentrated load
#PointLoadTest
#RockTesting
#RockMechanics
#PointLoadIndex
#vir
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@civilsoiltech
Point Load Test – used to determine the strength index of rock under concentrated load #PointLoadTest #RockTesting #RockMechanics #PointLoadIndex #virelreels
#Load Balancing Reel by @syste_mindset - Millions of users…
but apps still feel fast ⚡

How?

👉 Load Balancers.

They distribute traffic across multiple servers
so no single server gets over
47
SY
@syste_mindset
Millions of users… but apps still feel fast ⚡ How? 👉 Load Balancers. They distribute traffic across multiple servers so no single server gets overloaded. That’s how systems stay fast, stable, and scalable 🚀 Swipe to understand it simply 👇 💾 Save this to learn system design 🔁 Share with a friend learning coding 🚀 Follow @syste_mindset #systemdesign #backend #webdevelopment #programming #learncoding

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