Amazon EC2, also known as Amazon Elastic Compute Cloud, stands as a dominant force in cloud computing, providing businesses with secure, dependable, high-performance, and budget-friendly infrastructure solutions that cater to their ever-changing needs. Beyond its powerful capabilities, EC2's standout feature lies in its potential for automation, offering a pathway to heightened efficiency and diminished manual involvement. This piece delves into the essential elements of automation within EC2, unveiling insights on launch templates, instance varieties, and Amazon Machine Images (AMIs)
Launch template in AWS EC2
Simplifying Instance Configuration with Launch Templates Within EC2, a fundamental tool that streamlines instance deployment is the concept of launch templates. These templates enable users to encapsulate and store the necessary configuration details essential for initiating an instance. This eradicates the need for manual parameter input each time a new instance is launched, significantly boosting the speed and consistency of deployment procedures. For example, a launch template might encompass critical information like the Amazon Machine Image (AMI) ID, instance type, and network settings. Leveraging these templates ensures that each instance adheres to predefined specifications, fostering uniformity across the computing environment. The Amazon EC2 console offers a user-friendly interface for selecting specific launch templates during the instance launch process, further simplifying and automating deployment.
Tailoring Resources with Instance:
Types Amazon EC2 presents a diverse array of instance types, each finely tuned for distinct use cases. These instance types boast varying combinations of CPU, memory, storage, and networking capabilities. The freedom to select the ideal resource mix empowers users to customize their computing environments to match the exact demands of their applications and workloads. Each instance type is available in multiple sizes, facilitating precise adjustments in resource allocation. Whether the application requires high computational prowess, memory-intensive operations, or specialized storage configurations, EC2's instance types offer the adaptability needed to optimize both performance and cost-effectiveness.
AMI's: Building Blocks for Instances At the heart of EC2's instance provisioning lies the concept of Amazon Machine Images (AMIs). Serving as templates, AMIs encapsulate the essential information required to initiate an instance. When launching an instance, users must choose an AMI, and for scenarios requiring multiple instances with identical configurations, a single AMI can spawn them concurrently. AWS maintains and supports AMIs, ensuring users access up-to-date and secure images for their instances. This centralized management of machine images simplifies application scaling and facilitates environment replication for development, testing, and production purposes.
Lets understand above concept with help of task.
Task1:
- Create a launch template with Amazon Linux 2 AMI and t2.micro instance type with Jenkins and Docker setup (You can use the Day 39 User data script for installing the required tools.
submit basic details.
As per our task requirement select Amazon Linux as OS image.
Choose instance details as below
As we dont need any additional volumes will keep as it is.
As we want each newly created instance should have by default jenkins and docker installed . will add below script in advance tab
hit create launch template. Post successfully template launched, we can see template in dashboard.
- You can go one step ahead and create an auto-scaling group, sounds tough?
- to create auto scaling group will follow below steps
Step1 : Let's create new ASG
As we don't need any load balancer now will choose no load balancer.
In next step we are setting group size like desired capacity,min (how many instance will be available anytime) and max (till what range you want to scale our instance as per load/request)
As we are testing we dont need protection for now.
Post review will hit create Auto scaling group and check ASG details in dashboard.
Now our ASG, will check system and as per requirement it will create instance automatically and install mention tool without manual intervention.
ASG will automatically scale out instance if cpu utilization increase 40%.
I hope today task help to understand AWS EC2 Automation using AWs auto scaling group service with help of above task
Thanks for reading.
Kishor Chavan