We performed a comparison between AWS Compute Optimizer and AWS Fargate based on real PeerSpot user reviews.
Find out what your peers are saying about Amazon Web Services (AWS), Apache, Zadara and others in Compute Service."I find the solution's scaling capability to be an important benefit. You can scale it vertically or horizontally, i.e., you can upgrade the hardware or clone the machine. The solution is also easy to manage and flexible. Additionally, you get some layers of security without paying for it."
"We appreciate the simple use of containers within this solution, it makes managing the containers quick and easy."
"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."
"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."
"If you create your deployment with a good set of rules for how to scale in, you can just set it and forget it."
"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."
"The most valuable feature of AWS Fargate is its ease of use."
"Fargate itself is a stable product. We are quite satisfied with its performance."
"I have two areas of improvement to comment on. Most of the product names in AWS are not indicative of what they are doing. Moreover, AWS is not organized and you do not have the full platform with you. It is hard to know some AWS services."
"We faced challenges in vertically scaling our workload."
"I would like to see the older dashboard instead of the newer version. I don't like the new dashboard."
"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."
"AWS Fargate could improve the privileged mode containers. We had some problems and they were not able to run."
"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 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."
"The main area for improvement is the cost, which could be lowered to be more competitive with other major cloud providers."
AWS Compute Optimizer is ranked 10th in Compute Service with 1 review while AWS Fargate is ranked 6th in Compute Service with 7 reviews. AWS Compute Optimizer is rated 8.0, while AWS Fargate is rated 8.8. The top reviewer of AWS Compute Optimizer writes "Easy to manage, flexible, and has good scaling options". 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". AWS Compute Optimizer is most compared with , whereas AWS Fargate is most compared with Amazon EC2 Auto Scaling, Amazon EC2, AWS Lambda, AWS Batch and Oracle Compute Cloud Service.
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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.
