We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
"Pricing could be a little bit more competitive."
"The pricing is not fixed and it is based on usage."
"The price of this product could be a little bit lower."
Earn 20 points
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.
Amazon EC2 Auto Scaling is ranked 5th in Compute Service with 3 reviews while AWS Fargate is ranked 8th in Compute Service. Amazon EC2 Auto Scaling is rated 8.0, while AWS Fargate is rated 0.0. The top reviewer of Amazon EC2 Auto Scaling writes "Stable, flexible, reliable, and scales up or down automatically according to your requirements". On the other hand, Amazon EC2 Auto Scaling is most compared with Apache NiFi, Amazon Elastic Inference and Oracle Compute Cloud Service, whereas AWS Fargate is most compared with AWS Batch, Amazon Elastic Inference, Apache Spark, Apache NiFi and Oracle Compute Cloud Service.
See our list of best Compute Service vendors.
We monitor all Compute Service reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.