How Load Balancing Works - Round Robin, Least Connections & More (System
How do systems like Google and Amazon handle millions of users simultaneously without crashing a single server? Load balancing is the answer.
How do systems like Google and Amazon handle millions of users simultaneously without crashing a single server? Load balancing is the answer.
What’s in the video (7m 26s)
- 0:00 — Introduction to Load Balancing
- 1:03 — What is Single Point of Failure (SPOF)?
- 1:21 — What is Load Balancer (LB)?
- 1:56 — Key Characteristics of a Load Balancer (LB)
- 2:15 — Rules or Algorithms of Load Balancers
- 2:50 — Round Robin Method in Load Balancing
- 3:32 — Weighted Round Robin Method in Load Balancing
- 4:07 — Least Connections or Least Respose Time or Least Bandwidth - Other Load Balancing Methods
- 4:24 — IP Hash Method in Load Balancing
- 5:02 — How to Achieve Fault Tolerance using Load Balancing?
- 5:47 — What is High Availability?
- 6:04 — Horizontal Scalability (Scaling Out) vs Vertical Scalability (Scaling Up)
- 6:35 — Key Takeaways of Load Balancing
Resources
- Full System Design series: YouTube playlist
- Previous episode: https://youtu.be/GbBVHf2sAns
- Next episode: https://youtu.be/_ZYBCFxL-MI
For more in this series, visit the #system-design tag page or jump to the channel uploads list for everything else.
Related posts
How to Crack Any System Design Interview — Full Beginner's Guide
Most candidates fail system design interviews not because they lack knowledge — but because they don't have a clear framework to structure their thinking.
Design a Scalable System from Scratch — Full Blueprint (System Design #15)
You've learned the pieces. Now let's put them all together and design a real scalable system from scratch — the way it's done in interviews and in production.
Monolith vs Microservices - Which Architecture Should You Choose? (System
Microservices are everywhere - but are they always the right choice? Spoiler: most teams adopt them too early, and it costs them.