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.
"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."
"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 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."
"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."
"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."
"It's a serverless solution which is the best feature. It helps us because it offers free aspects. From the infrastructure perspective, it helps us manage costs. There is no overhead of estimating how much infrastructure we're going to need. We can focus on building the business functionality that we want to build."
"Because AWS Lambda is serverless, server configuration is not required, and we can run it directly anywhere."
"The installation and configuration of the solution is straightforward."
"Thanks to this solution, we do not need to worry about hardware or resource utilization. It saves us time."
"The ability to scale up and down very quickly helps because we can maintain our system performance and business at a low cost."
"AWS Lambda is itself serverless, and it is connected to the API gateway, and you can directly call the API through the API gateway and connect through AWS Lambda."
"By using Lambda, we can use Python code and the Boto3 solution."
"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."
"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."
"I would like to see the older dashboard instead of the newer version. I don't like the new dashboard."
"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."
"We faced challenges in vertically scaling our workload."
"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."
"Lambda's dashboard could be more user-friendly and customizable. I want the dashboard to have more information to quickly identify what functions and events are running. Also, we want to be able to add more trigger points, push notifications, and events."
"The solution should continue to streamline integrations with AWS services."
"It could be cheaper."
"The metrics and reporting for this solution could be improved."
"The security needs to be improved."
"I would like to see the five zero four AWS Lambda invocation fixed. This is basically a time-out error."
"The first time Lambda is started up, it takes some time to spin up an instance for serving the consumer requests. AWS has been trying to solve this in a variety of ways but have not yet managed to do so."
"They should work on the solution's stability and pricing."
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, Oracle Compute Cloud Service and Apache Spark, 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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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.
