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AWScloud~10 mins

Why load balancing matters in AWS - Visual Breakdown

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Process Flow - Why load balancing matters
User sends request
↓
Load Balancer receives request
↓
Check server health
↓
Distribute request to healthy server
↓
Server processes request
↓
Response sent back to user
Requests from users go to a load balancer, which checks server health and sends requests only to healthy servers, ensuring smooth and reliable service.
Execution Sample
AWS
User -> Load Balancer -> Server1 or Server2 -> Response
Shows how a load balancer directs user requests to one of multiple servers to share the work.
Process Table
StepActionServer1 StatusServer2 StatusRequest Routed ToReason
1User sends requestHealthyHealthyLoad BalancerRequest arrives at load balancer
2Load balancer checks serversHealthyHealthyLoad BalancerBoth servers are healthy
3Load balancer routes requestHealthyHealthyServer1Server1 chosen to balance load
4Server1 processes requestHealthyHealthyServer1Server1 handles request
5User sends another requestHealthyHealthyLoad BalancerNew request arrives
6Load balancer checks serversHealthyHealthyLoad BalancerBoth servers healthy
7Load balancer routes requestHealthyHealthyServer2Server2 chosen to balance load
8Server2 processes requestHealthyHealthyServer2Server2 handles request
9Server1 becomes unhealthyUnhealthyHealthyLoad BalancerServer1 fails health check
10User sends requestUnhealthyHealthyLoad BalancerNew request arrives
11Load balancer checks serversUnhealthyHealthyLoad BalancerServer1 unhealthy, Server2 healthy
12Load balancer routes requestUnhealthyHealthyServer2Only Server2 is healthy
13Server2 processes requestUnhealthyHealthyServer2Server2 handles request
14Server1 recoversHealthyHealthyLoad BalancerServer1 passes health check again
15User sends requestHealthyHealthyLoad BalancerNew request arrives
16Load balancer routes requestHealthyHealthyServer1Load balancing resumes
17Server1 processes requestHealthyHealthyServer1Server1 handles request
💡 Load balancer stops routing to unhealthy servers to keep service reliable.
Status Tracker
VariableStartAfter Step 9After Step 14Final
Server1 StatusHealthyUnhealthyHealthyHealthy
Server2 StatusHealthyHealthyHealthyHealthy
Request Routed ToLoad BalancerLoad BalancerLoad BalancerLoad Balancer
Key Moments - 2 Insights
Why does the load balancer stop sending requests to Server1 at step 12?
Because Server1 failed the health check at step 9 and is marked unhealthy, so the load balancer only sends requests to healthy servers as shown in execution_table rows 9-12.
How does the load balancer decide which server to send requests to when both are healthy?
It distributes requests to balance the load, alternating between Server1 and Server2 as seen in steps 3 and 7 in the execution_table.
Visual Quiz - 3 Questions
Test your understanding
Look at the execution table, at step 9 what happens to Server1 status?
AServer1 becomes healthy
BServer1 becomes unhealthy
CServer1 is removed
DServer1 processes a request
💡 Hint
Check the 'Server1 Status' column at step 9 in the execution_table.
At which step does the load balancer route a request to Server2 for the first time?
AStep 3
BStep 12
CStep 7
DStep 16
💡 Hint
Look at the 'Request Routed To' column in the execution_table to find when Server2 first receives a request.
If Server2 became unhealthy at step 10, what would happen at step 12?
ALoad balancer cannot route request to any server
BLoad balancer routes request to Server2 anyway
CLoad balancer routes request to Server1
DLoad balancer routes request to a new server
💡 Hint
Refer to how the load balancer only routes to healthy servers in the execution_table steps 9-12.
Concept Snapshot
Load balancing sends user requests to multiple servers to share work.
It checks server health to avoid sending requests to broken servers.
This keeps the service fast and reliable.
If a server fails, load balancer routes requests only to healthy ones.
When servers recover, they get requests again.
Load balancing improves uptime and user experience.
Full Transcript
Load balancing is important because it helps distribute user requests across multiple servers. When a user sends a request, it first goes to the load balancer. The load balancer checks which servers are healthy and sends the request to one of them. This sharing of work prevents any single server from getting overloaded. If a server becomes unhealthy, the load balancer stops sending requests to it until it recovers. This ensures users get fast and reliable responses. When the unhealthy server recovers, it starts receiving requests again. This process keeps the service running smoothly and improves user experience.

Practice

(1/5)
1. What is the main purpose of a load balancer in AWS?
easy
A. To create backups of servers automatically
B. To store user data securely
C. To distribute incoming traffic evenly across multiple servers
D. To monitor server CPU usage only

Solution

  1. Step 1: Understand load balancer role

    A load balancer shares user traffic across servers to keep apps fast and reliable.
  2. Step 2: Identify main function

    Its main job is to distribute incoming traffic evenly to avoid overloading one server.
  3. Final Answer:

    To distribute incoming traffic evenly across multiple servers -> Option C
  4. Quick Check:

    Load balancer = distribute traffic [OK]
Hint: Load balancer spreads traffic to avoid overload [OK]
Common Mistakes:
  • Confusing load balancer with data storage
  • Thinking it only monitors CPU
  • Assuming it creates backups
2. Which AWS service is used to create a load balancer?
easy
A. Amazon S3
B. Elastic Load Balancing (ELB)
C. Amazon RDS
D. AWS Lambda

Solution

  1. Step 1: Identify AWS services

    Amazon S3 stores files, RDS manages databases, Lambda runs code, ELB manages load balancing.
  2. Step 2: Match service to load balancing

    Elastic Load Balancing (ELB) is the AWS service designed to create load balancers.
  3. Final Answer:

    Elastic Load Balancing (ELB) -> Option B
  4. Quick Check:

    Load balancer service = ELB [OK]
Hint: ELB is the AWS load balancer service name [OK]
Common Mistakes:
  • Choosing storage or compute services instead of ELB
  • Confusing Lambda with load balancing
  • Selecting database services
3. Given this AWS setup code snippet, what does the load balancer do?
LoadBalancer -> TargetGroup -> EC2 Instances
Listener listens on port 80 and forwards to TargetGroup
medium
A. It forwards traffic on port 80 to all EC2 instances evenly
B. It blocks traffic on port 80
C. It stores data from EC2 instances
D. It only forwards traffic to one EC2 instance

Solution

  1. Step 1: Understand listener role

    The listener listens on port 80 and forwards requests to the target group.
  2. Step 2: Understand target group role

    The target group contains multiple EC2 instances and the load balancer distributes traffic evenly among them.
  3. Final Answer:

    It forwards traffic on port 80 to all EC2 instances evenly -> Option A
  4. Quick Check:

    Listener + TargetGroup = distribute traffic [OK]
Hint: Listener forwards traffic evenly to all targets [OK]
Common Mistakes:
  • Thinking it blocks traffic
  • Assuming it stores data
  • Believing it sends traffic to only one instance
4. You set up a load balancer but all traffic goes to a single server. What is the likely mistake?
medium
A. Security group blocks all traffic
B. Listener is set to forward on wrong port
C. Load balancer is not created
D. Target group has only one instance registered

Solution

  1. Step 1: Check target group configuration

    If only one instance is registered in the target group, all traffic goes to that instance.
  2. Step 2: Verify listener and load balancer existence

    Listener forwarding on wrong port or missing load balancer would cause no traffic or errors, not single server traffic.
  3. Final Answer:

    Target group has only one instance registered -> Option D
  4. Quick Check:

    Single server traffic = one target instance [OK]
Hint: Check target group instance count first [OK]
Common Mistakes:
  • Assuming listener port causes single server traffic
  • Thinking load balancer absence sends traffic
  • Blaming security group for traffic routing
5. You want to handle sudden traffic spikes without slowing your app. Which load balancing setup helps best?
hard
A. Use a load balancer with multiple target groups and auto-scaling EC2 instances
B. Use a single EC2 instance behind a load balancer
C. Use only one target group with fixed number of instances
D. Disable load balancer and rely on DNS round robin

Solution

  1. Step 1: Understand traffic spike handling

    Handling spikes requires scaling resources automatically to meet demand.
  2. Step 2: Match setup to scaling needs

    Using a load balancer with multiple target groups and auto-scaling EC2 instances allows dynamic resource adjustment and balanced traffic.
  3. Final Answer:

    Use a load balancer with multiple target groups and auto-scaling EC2 instances -> Option A
  4. Quick Check:

    Auto-scaling + load balancer = handle spikes [OK]
Hint: Combine load balancer with auto-scaling for spikes [OK]
Common Mistakes:
  • Relying on single instance for heavy traffic
  • Using fixed instances without scaling
  • Disabling load balancer reduces reliability
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