Our team worked together on a load balancing and auto-scaling project with the help of Amazon’s web services. The main goal of the project was to help balance server load by redistributing a computer’s workload between two or more machines. The auto-scaling feature integrated with the project has been used to help increase or decrease the number of instances on the server dynamically based on the traffic received.

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