Scaling
Scaling defines an application's ability to maintain seamless execution while handling increased workload or user traffic without compromising performance. With Elastic Beanstalk, users can easily configure automated scaling to optimize resource usage. AWS Elastic Beanstalk provides two scaling options: horizontal and vertical. Horizontal scaling adds or removes EC2 instances while vertical scaling increases or decreases the capacity of current instances such as memory, CPU, and storage. Additionally, Elastic Beanstalk makes use of Amazon CloudWatch for monitoring the scaling process and triggering notifications based on predefined thresholds.
Guide to Scaling in AWS Elastic Beanstalk
In the AWS Solution Architect Exam, the topic of Scaling in AWS Elastic Beanstalk plays a crucial role.
Importance: Understanding the scaling architecture of AWS Elastic Beanstalk is essential because AWS offers auto-scaling features that can handle the varying workloads of your applications, ensuring that the correct amount of resources are available to handle the demand.
What is Scaling in AWS Elastic Beanstalk: This refers to the ability to automatically adjust the quantity of instances or resources being run, based on the current demands. It has two types - Horizontal Scaling (adding more instances into the application pool) and Vertical Scaling (adding more power such as CPU, RAM to an existing instance).
How it works: With Elastic Load Balancer distributes incoming application traffic across multiple targets and Availability Zones. Auto Scaling adjusts its number of EC2 instances according to conditions defined, while Elastic Beanstalk monitors application health and performance.
Exam Tips: For Answering questions related to scaling, Understand the difference between vertical and horizontal scaling and how they are implemented in AWS. Know how Elastic Load Balancer and auto-scaling work. Focus on the various conditions that can trigger a scale-out or scale-in operation.
Remember:Lifecycle hooks, auto-scaling policies and cooldown periods are crucial concepts for the exam.
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