🚀Day 14 - Excited to share my insights about Deploying applications using Load Balancers on AWS.

✨AWS – EC2, User Data, Launch Templates, Auto Scaling, and Load Balancing

➡ (EC2) allows for the provisioning and management of virtual
machines, known as instances, that run your applications in the cloud.

1. Creating, Managing, and Connecting to EC2 Instances:
Selecting the appropriate Amazon Machine Image (AMI) – a preconfigured
template containing an operating system and software – and specifying desired instance types based on CPU, memory, and storage requirements.

✅I learned how to configure security groups to control network access, assign public IPs for external access, and manage instances through the AWS Management Console or Command Line Interface (CLI).

2. Delving into the Details of AWS EC2:
My understanding of EC2 extended beyond basic creation and management. I explored concepts like instance types, spot instances for cost-effective computing, and instance states like running, stopped, and terminated. I gained insights of storage options like Amazon EBS volumes for persistent data and Amazon S3 buckets for object storage. Additionally, I learned about monitoring instance performance through CloudWatch metrics and logs.

3. Automating Instance Configuration with User Data Scripts:
User data scripts emerged as a powerful tool for automating the configuration of newly launched EC2 instances. I studied how to create scripts containing commands for installing software, configuring applications, and customizing the environment, ensuring consistency and reducing manual intervention.

4. Streamlining Deployment with Launch Templates:
Launch templates took my understanding of EC2 automation to a new level. I
learned how to create reusable templates encompassing instance configurations, user data scripts, and associated resources like security groups and IAM roles. This allowed me to consistently launch instances with pre-defined configurations, streamlining deployment and ensuring consistent environments.

5. Scaling and Balancing for Maximum Efficiency:
To handle fluctuating workloads and optimize resource utilization, I explored the concepts of auto scaling and load balancing. I learned how auto scaling groupsautomatically adjust the number of EC2 instances based on demand, ensuring optimal performance and cost-efficiency.

✅Additionally, I delved into the functionality of Elastic Load Balancers, which distribute incoming traffic across multiple instances, enhancing application availability and responsiveness.