The document outlines a project focused on elastic load balancing and AWS auto scaling, which distribute application traffic across various targets to ensure efficient performance. It details methods like instance creation, target groups, and autoscaling launch configurations. The expected outcomes include improved performance through auto scaling and load balancing for applications.

1. ELASTIC LOAD BALANCING WITH
AWS

2. 2
Team members :
A.AKHIL
M.BHEEMESWARASWAMY
S.SURYA TEJA
B.SAIKUMAR
PROJECT DESCRIPTION :
▫ Elastic Load Balancing
automatically distributes incoming
application traffic across multiple
targets, such as Amazon EC2
instances, containers, IP addresses,
and Lambda functions.
▫ AWS Auto Scaling monitors your
applications and automatically
adjusts capacity to maintain steady,
predictable performance at the
lowest possible cost.
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3. 3
Methods :
1(a). AUTOSCALING 1(b).ELASTIC LOADBALANCING

4. 3.PROJECT DEVELOPMENT LIFE
CYCLE :
INSTANCE CREATION(EC2-VM)
TARGET GROUPS
CREATING LOAD BALANCER
AUTOSCALING LAUNCH
CONFIGURATIONS
AUTOSCALING
CLOUD
WATCH

5. Outcomes :
Elastic Load balancing
server1 Server 2

6. 6
AUTO SCALING

7. 7