What if your website could never slow down, no matter how many visitors arrive?
Why Load balancing algorithms (round robin, least connections) in HLD? - Purpose & Use Cases
Imagine you run a busy restaurant with only one waiter taking orders and serving all tables. As more guests arrive, the waiter gets overwhelmed, orders get mixed up, and some tables wait too long while others get served quickly.
Handling all requests manually means slow service and mistakes. The waiter can't remember who ordered what or who is waiting longest. Guests get frustrated, and the restaurant loses customers because the workload isn't shared fairly.
Load balancing algorithms like round robin and least connections act like smart hosts who assign new guests to waiters evenly or based on who is least busy. This way, no waiter is overloaded, and guests get served faster and more fairly.
sendRequestTo(server1) sendRequestTo(server1) sendRequestTo(server1)
sendRequestTo(roundRobin.next()) sendRequestTo(roundRobin.next()) sendRequestTo(roundRobin.next())
It enables smooth, fair, and efficient handling of many requests by spreading the load smartly across servers.
When you visit a popular website, load balancers use these algorithms to send your request to the best server, so the site loads quickly even when millions are browsing.
Manual handling of requests causes delays and errors.
Load balancing algorithms distribute work evenly or by current load.
This improves speed, reliability, and user experience.
Practice
Solution
Step 1: Understand Round Robin behavior
Round Robin cycles through servers one by one in order, ignoring current load or connections.Step 2: Compare with other algorithms
Least Connections considers active connections, Random Selection picks randomly, IP Hash uses client IP. Only Round Robin ignores load.Final Answer:
Round Robin -> Option AQuick Check:
Fixed order without load check = Round Robin [OK]
- Confusing Least Connections with Round Robin
- Thinking Random Selection is fixed order
- Assuming IP Hash ignores load
Solution
Step 1: Identify Round Robin logic
Round Robin selects the next server by incrementing an index and wrapping around using modulo.Step 2: Match pseudocode to logic
server = servers[(current_index + 1) % total_servers] uses (current_index + 1) % total_servers, which correctly cycles through servers.Final Answer:
server = servers[(current_index + 1) % total_servers] -> Option DQuick Check:
Modulo cycling index = Round Robin [OK]
- Choosing minimum connections for Round Robin
- Using random selection syntax
- Using hash function for Round Robin
Solution
Step 1: Identify server with fewest active connections
Server B has 2 connections, fewer than A (5) and C (4).Step 2: Apply Least Connections selection
Least Connections chooses the server with the minimum active connections, so Server B is selected.Final Answer:
Server B -> Option AQuick Check:
Fewest connections = Server B [OK]
- Picking server with most connections
- Choosing Round Robin instead of Least Connections
- Confusing ties with multiple servers
Solution
Step 1: Analyze behavior mismatch
Least Connections should pick server with fewer active connections, but always picks Server A.Step 2: Identify likely cause
If Server B's connection count is stale or incorrect, the balancer wrongly thinks Server A has fewer connections.Final Answer:
The connection count for Server B is not updated correctly -> Option BQuick Check:
Incorrect connection tracking causes wrong Least Connections choice [OK]
- Assuming algorithm is Round Robin without checking
- Thinking IP address affects Least Connections
- Ignoring connection count accuracy
Solution
Step 1: Calculate load ratio (connections/capacity) for each server
Server A: 5/10 = 0.5, Server B: 15/20 = 0.75, Server C: 10/15 ≈ 0.67, Server D: 2/10 = 0.2Step 2: Select server with lowest load ratio
Server D has the lowest ratio (0.2), so it is selected in capacity-aware Least Connections.Final Answer:
Server D -> Option CQuick Check:
Lowest load ratio = Server D [OK]
- Picking server with fewest connections ignoring capacity
- Ignoring capacity differences
- Choosing server with lowest absolute connections only
Ready to prove it?
Pass the test and this pattern moves unknown
