We performed a comparison between AWS Fargate and AWS Lambda based on real PeerSpot user reviews.
Find out in this report how the two Compute Service solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."If you create your deployment with a good set of rules for how to scale in, you can just set it and forget it."
"Fargate itself is a stable product. We are quite satisfied with its performance."
"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."
"We appreciate the simple use of containers within this solution, it makes managing the containers quick and easy."
"The most valuable feature of AWS Fargate is its ease of use."
"AWS Fargate is an easy-to-use tool to simplify setup. You only pay for the resources you use. If you need to quickly create, delete, or scale applications without managing resources like EC2 instances, Fargate is the best service to 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."
"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 this solution is the API Gateway."
"It enables the launch of thousands of instances simultaneously,"
"The ability to scale up and down very quickly helps because we can maintain our system performance and business at a low cost."
"It is serverless and scalable. It can scale infinitely. You don't have to worry about the size of the servers that you're pre-allocating. You don't have to build server scale-out models. Auto scale and other similar features are just inherent in Lambda. So, for atomic and fairly non-persistent transactional units of work, Lambda works very well."
"Lambda makes the administration of all our services related to Amazon really easy."
"It is a scalable solution."
"It's a fairly easy solution to learn."
"We have no issues with the technical support."
"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 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."
"AWS Fargate could improve the privileged mode containers. We had some problems and they were not able to run."
"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."
"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."
"AWS Lambda can improve its file system-based sharing capabilities and restrictions."
"Its price should be improved. Its pricing is on the higher side. I am not sure if it currently supports the Go language. If it doesn't support the Go language, they can introduce it."
"The execution time could be better. One of the major limitations is the time period because it doesn't give you more than seven minutes. So, before thinking about Lambda, you should think through your use case and ensure it's a good fit. Otherwise, you can use batch, step functions, or other methods. Reports and the monitoring board could also be improved in terms of alerts. The threshold alerts are there but can be improved. It takes some time to get used to these methods and get the hang of them."
"Memory limitation is one of the weaknesses of AWS Lambda and as a result, we have to use several Lambda, instead of just one. Recently, I met with an Amazon employee, who is responsible for Lambda as a product. It appears Amazon has some plans with Lambda, so I don’t have to add something to the additional features."
"I wish to see better execution time in the next release."
"There's room for improvement in the solution's warm start, which refers to the minimum time it takes to start up a Lambda function if you haven't been running it."
"The product could make the process of integration easier."
"The automation with other Amazon products could be better."
AWS Fargate is ranked 6th in Compute Service with 8 reviews while AWS Lambda is ranked 1st in Compute Service with 70 reviews. AWS Fargate is rated 8.6, while AWS Lambda is rated 8.6. The top reviewer of AWS Fargate writes "Offers serverless capabilities, self-managed, simplifies ease of use and integrates with other AWS services". On the other hand, the top reviewer of AWS Lambda writes "An easily scalable solution with a variety of use cases and valuable event-based triggers". AWS Fargate is most compared with Amazon EC2 Auto Scaling, Amazon EC2, AWS Batch, Apache Spark and Oracle Compute Cloud Service, whereas AWS Lambda is most compared with AWS Batch, Amazon EC2 Auto Scaling, Apache NiFi, Apache Spark and Google Cloud Dataflow. See our AWS Fargate vs. AWS Lambda report.
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