Scaling Factors for Load Balancers

Bit the Chipmunk, AWS Expert published on
4 min, 772 words

Hey there, cloud climber! 🧗‍♂️ Bit here, and today we’re looking at something every AWS networking pro must understand for the exam: how load balancers scale — and what can make them not scale when traffic spikes.

Whether it’s a few nuts or a forest full of users, AWS load balancers grow and shrink to match demand. But they don’t do it magically — there are patterns, limits, and design choices the exam expects you to know. Let’s get into it.


⚙️ 1. How Load Balancers Scale

Each AWS load balancer type scales differently under the hood:

TypeScaling MechanismKey FactorExam Tip
Application Load Balancer (ALB)Auto-scales horizontally by adding nodes in AZsNumber of new connections and requests per secondMay take a few minutes to adapt to sudden traffic spikes — pre-warm for known events
Network Load Balancer (NLB)Scales linearly with new connections; uses AWS HyperplaneConcurrent connections + PPS (packets per second)Scales faster than ALB, but backend EC2s must handle increased connections
Gateway Load Balancer (GWLB)Scales transparently with traffic volumeThroughput (Gbps)Used for inspection appliances; scaling depends on appliance autoscaling
Classic Load Balancer (CLB)(Legacy) Manual pre-warming used to be requiredOld exams only!Rarely appears; know it for migration scenarios only

🧮 2. Factors That Affect Scaling Performance

Scaling isn’t just about the load balancer itself — it’s about everything connected to it. The exam may describe symptoms like “requests are being dropped under load” or “some AZs are not receiving traffic.” Here’s what to look for:

Scaling FactorImpactExample Exam Clue
Traffic patternSudden, steep spikes can overwhelm before scaling completes“Traffic increases from 0 to 100k RPS in 10 seconds”
AZ configurationLoad balancer only scales in enabled AZs“Requests to one AZ fail after instance removal”
Target healthUnhealthy or missing targets reduce available capacity“Traffic shifts to remaining instances, causing throttling”
Cross-zone load balancingSpreads load evenly but adds inter-AZ data transfer (free for ALB, but not for NLB)“Must evenly balance across AZs without scaling targets in each zone”
Idle timeoutLong-lived connections can tie up load balancer resources“Connections remain open for minutes, limiting new client connections”
Backend autoscaling lagTarget group can’t keep up with load balancer scaling“Targets launch slowly, causing 5xx errors during traffic surge”

💡 Bit’s Tip: When scaling issues appear in exam questions, look for pre-warming, target health, or zonal imbalance clues.


🚀 3. Pre-Warming and Predictable Spikes

AWS load balancers can handle massive traffic — but if you know a big event is coming (say, a flash sale 🛒), you can request pre-warming through AWS Support.

  • When needed: Sudden, step-function increases in new connections or requests.
  • How: Provide expected RPS, connection rate, and traffic pattern (burst vs steady).
  • Applies to: ALB, NLB, and (historically) CLB.

💬 Exam Example:

“A retailer expects traffic to jump 100× during a 1-hour event. What should they do to ensure the ALB scales in advance?” ✅ Answer: Request pre-warming via AWS Support.


🧱 4. Scaling Across Layers: Load Balancer + Backend

Remember: a load balancer can only pass traffic it receives. You still need to ensure the backend scales too.

LayerScaling MethodDependency
Load BalancerAutomatic scaling by AWSManaged for you, but depends on configuration
Target GroupAuto Scaling Group or ECS/EKS scalingMust react quickly to load changes
DNS LayerRoute 53 latency or weighted routingDistributes traffic globally for multi-region scale

💡 Bit’s Tip: If an exam question mentions “traffic balanced across multiple Regions for scalability,” the answer is Route 53 — not the load balancer itself.


🧠 5. Exam Traps to Watch Out For

TrapReality
“ALB scales instantly to any load.”❌ It scales fast but not instantly — warm-up takes time.
“NLB always uses cross-zone balancing.”❌ It’s disabled by default; must be turned on manually.
“Scaling failed — add more EC2s.”❌ Check target health, not just instance count.
“Load balancer failed — must increase size.”❌ They’re managed services — scaling is automatic.
“Backend scaled up, but still throttling.”❌ The load balancer connection ramp-up may lag behind.

🌰 Bit’s Recap

Here’s what to remember when the exam gets squirrelly 🐿️:

  • ALB: Scales at Layer 7 — watch out for sudden HTTP traffic spikes.
  • NLB: Scales faster — great for TCP-heavy or volatile workloads.
  • GWLB: Scales transparently — depends on the appliance layer.
  • Scaling ≠ instant — warm-up or pre-warming might be required.
  • Backends must scale too — load balancers don’t fix slow targets.

Next time you see a question about dropped requests, connection delays, or regional scaling, remember: sometimes the bottleneck isn’t the load balancer — it’s the plan behind it.

Now go grab some scaling snacks — you’ve earned them! 🌰😄