We compared AWS Fargate and Amazon EC2 Auto Scaling based on our user's reviews in several parameters.
Users praised AWS Fargate for its seamless scalability, ease of use, and efficient resource management. Conversely, Amazon EC2 Auto Scaling received positive feedback for its ability to dynamically adjust resources based on demand and its scalability. Fargate was valued for abstracting away infrastructure, while EC2 Auto Scaling was appreciated for its optimal performance and cost efficiency. The reliability, efficiency, and helpfulness of customer service were highlighted for both products. Suggestions for improvement included enhancing container orchestration capabilities for Fargate and improving instance type selection and customization for EC2 Auto Scaling.
Features: AWS Fargate's valuable features include seamless scalability, ease of use, efficient resource management, abstraction of underlying infrastructure, no server maintenance, high security and flexibility, and cost-effectiveness. In contrast, Amazon EC2 Auto Scaling focuses on dynamic resource adjustments based on demand, optimal performance and cost efficiency, scalability, flexibility, seamless integration with other AWS services, and easy setup and configuration.
Pricing and ROI: Users have praised AWS Fargate for its affordability and flexibility in pricing plans, ease of setup, and straightforward licensing process. On the other hand, users have found Amazon EC2 Auto Scaling's pricing reasonable and competitive, with a low setup cost. Licensing is also considered user-friendly, ensuring a smooth experience., Based on user feedback, AWS Fargate and Amazon EC2 Auto Scaling both offer positive ROI. Fargate excels in efficiency, scalability, and time-saving, while Auto Scaling impresses with increased cost-effectiveness and resource allocation flexibility.
Room for Improvement: AWS Fargate could improve container orchestration capabilities, visibility and monitoring tools, resource allocation and scaling, networking limitations, and customer support. On the other hand, Amazon EC2 Auto Scaling could enhance instance selection, documentation, user interface, integration, error reporting, and resource control.
Deployment and customer support: The user reviews indicate that the deployment, setup, or implementation duration for AWS Fargate can vary significantly, with some users reporting spending three months on deployment and an additional week on setup. In contrast, for Amazon EC2 Auto Scaling, one user mentioned a three-month deployment and a one-week setup, while another user completed both in just one week. These reviews suggest that AWS Fargate may have a longer and more variable duration for deployment and setup compared to Amazon EC2 Auto Scaling., AWS Fargate's customer service has been positively reviewed, with users highlighting the promptness, efficiency, knowledge, and expertise of the support team. Similarly, users of Amazon EC2 Auto Scaling have praised the fast, reliable, and helpful assistance provided by the support team.
The summary above is based on 36 interviews we conducted recently with AWS Fargate and Amazon EC2 Auto Scaling users. To access the review's full transcripts, download our report.
"We appreciate that this solution allows us to run all of our severs through it, meaning that our workloads are mainly on the EC2 instance only."
"The solution includes many features for configuring networks and VPCs."
"Applications deployed on EC2 instances can easily integrate with other AWS services. For example, you can connect your EC2 Auto Scaling group to a tool like CloudWatch for health checks and anomaly detection."
"The Amazon EC2 Auto Scaling features are simple to use."
"The initial setup is straightforward."
"What we have found most valuable are the purchasing of usage at the time and small storage."
"The solution removes the need for hardware. We can easily create servers or machines. Just by clicking or specifying our requirements, like memory size or disk space, it's set up for us. The tool eliminates the need for hardware. We can choose what we need and pay as we use it. It is flexible and can integrate with any product."
"The solution is scalable."
"Fargate itself is a stable product. We are quite satisfied with its performance."
"The most valuable feature of AWS Fargate is its ease of use."
"The most valuable feature of Fargate is that it's self-managed. You don't have to configure your own clusters or deploy any Kubernetes clusters. This simplifies the initial deployment and scaling process."
"I like their containerization service. You can use Docker or something similar and deploy quickly without the know-how related to, for example, Kubernetes. If you use AKS or Kubernetes, then you have to have the know-how. But for Fargate, you don't need to have the know-how there. You just deploy the container or the image, and then you have the container, and you can use it as AWS takes care of the rest. This makes it easier for those getting started or if you don't have a strong DevOps team inside your organization."
"AWS Fargate has many valuable services. It does the job with minimal trouble. It's very observable. You can see what's going on and you have logs. You have everything. You can troubleshoot it. It's affordable and it's flexible."
"We appreciate the simple use of containers within this solution, it makes managing the containers quick and easy."
"If you create your deployment with a good set of rules for how to scale in, you can just set it and forget it."
"The product's setup is complex for an intermediate user."
"The solution's pricing is expensive. You pay based on how much you use it, like paying for the time or hours you use the service. There's no need to buy hardware separately."
"The solution's configuration process could be better."
"The licensing cost is expensive."
"I would like to see a feature included that has the capability to clone when an instance is being terminated."
"The documentation for this solution could be improved. For example, it is difficult to find documentation for integration with applications."
"I would like to see the security portal improved in the future."
"There is room for improvement in the pricing model."
"I heard from my team that it's not easy to predict the cost. That is the only issue we have with AWS Fargate, but I think that's acceptable. AWS Fargate isn't user-friendly. Anything related to Software as a Service or microservice architecture is not easy to implement. You're required to have DevOps from your side to implement the solution. AWS Fargate is just a temporary solution for us. When we grow to a certain level, we may use AKS for better control."
"We faced challenges in vertically scaling our workload."
"The main area for improvement is the cost, which could be lowered to be more competitive with other major cloud providers."
"We would like to see some improvement in the process documents that are provided with this product, particularly for auto-scaling and other configuration tools that are a bit complicated."
"I would like to see the older dashboard instead of the newer version. I don't like the new dashboard."
"AWS Fargate could improve the privileged mode containers. We had some problems and they were not able to run."
"If there are any options to manage containers, that would be good. That relates more to the cost point. For example, over the next three months, I'll be making a comparison between solutions like CAST AI and other software-as-a-service platforms that offer Kubernetes management with an emphasis on cost reduction."
Amazon EC2 Auto Scaling is ranked 2nd in Compute Service with 39 reviews while AWS Fargate is ranked 6th in Compute Service with 7 reviews. Amazon EC2 Auto Scaling is rated 8.8, while AWS Fargate is rated 8.8. The top reviewer of Amazon EC2 Auto Scaling writes "Well-documented setup process and highly stable solution". On the other hand, the top reviewer of AWS Fargate writes "Offers serverless capabilities, self-managed, simplifies ease of use and integrates with other AWS services". Amazon EC2 Auto Scaling is most compared with AWS Lambda, AWS Batch, Oracle Compute Cloud Service and Amazon Elastic Inference, whereas AWS Fargate is most compared with Amazon EC2, AWS Lambda, AWS Batch, Oracle Compute Cloud Service and Apache Spark. See our AWS Fargate vs. Amazon EC2 Auto Scaling report.
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