AWS Fargate and Amazon EC2 Auto Scaling both compete in the domain of cloud computing, focusing on scalable and efficient application deployment. AWS Fargate has the upper hand due to its ease of deployment and automatic scaling capabilities, whereas Amazon EC2 Auto Scaling excels in cost efficiency and seamless integration with AWS services.
Features: AWS Fargate provides easy container management without server management, offers automatic scaling and integrates well with AWS services for variable workloads. It simplifies deployment, speeding up time-to-market. Amazon EC2 Auto Scaling offers versatile scaling options based on demand, with high availability through effective instance management and cost efficiency during peak traffic.
Room for Improvement: AWS Fargate needs improved cost predictability, lower configuration complexity, and better documentation for monitoring scaling configurations. Amazon EC2 Auto Scaling could enhance its pricing strategy, ease of use, and configuration flexibility while improving access to console logs and better documentation to prevent unexpected costs.
Ease of Deployment and Customer Service: AWS Fargate is user-friendly, especially for public cloud deployment, with generally strong support although technical interactions can vary. Amazon EC2 Auto Scaling is effective for both public and hybrid cloud environments, with positive customer service but room for improvement in technical communication.
Pricing and ROI: AWS Fargate pricing is higher, particularly for startups, but is justified by its pay-as-you-go model and excellent ROI for agile operations. Amazon EC2 Auto Scaling is competitively priced but can become expensive if not managed well. It offers flexibility through usage-based pricing but requires careful management to optimize ROI.
The pay-as-you-go pricing model of AWS Fargate was one of the major drivers for us to move there because we reduced costs while increasing the quality of the processing services by about 30%.
Even though we didn't contract support, every two weeks I had a 30-minute meeting with a cloud architect from AWS to help our team use different products of AWS, especially with SageMaker for a forecasting algorithm we were developing.
Amazon should provide more detailed training materials for people who are just starting to work with Amazon EC2 Auto Scaling.
For a company that does not require complexity or managing Kubernetes clusters, AWS Fargate is a great way to go.
It operates on a pay-as-you-go model, meaning if a machine is used for only an hour, the pricing will be calculated for that hour only, not the entire month.
Amazon EC2 Auto Scaling has the capability to multiply itself, which enables it to handle peak loads effectively.
One of the best features of AWS Fargate is that it was useful for us because we didn't require to run container workloads and we didn't need to deal with the management of a Kubernetes cluster directly, and the ability to run those workloads just in a scheduled manner is also a great feature.
Amazon EC2 Auto Scaling helps you maintain application availability and allows you to automatically add or remove EC2 instances according to conditions you define. ... Dynamic scaling responds to changing demand and predictive scaling automatically schedules the right number of EC2 instances based on predicted demand.
A new compute engine that enables you to use containers as a fundamental compute primitive without having to manage the underlying instances. With Fargate, you don’t need to provision, configure, or scale virtual machines in your clusters to run containers. Fargate can be used with Amazon ECS today, with plans to support Amazon Elastic Container Service for Kubernetes (Amazon EKS) in the future.
Fargate has flexible configuration options so you can closely match your application needs and granular, per-second billing.
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