G2

Atharva P.

Cloud BI Engineer

Enterprise (> 1000 emp.)

6/8/2026

"Serverless Containers Made Easy with AWS Fargate"

4.5/5

What do you like best about AWS Fargate?

What I like most about AWS Fargate is that it removes the need to manage servers for containerized applications. This lets teams stay focused on building and deploying containers while AWS takes care of infrastructure provisioning, patching, scaling, and availability in the background. I especially appreciate the serverless operational model.

For example, when processing incoming files from S3, EventBridge can trigger workflows that launch Fargate tasks on demand. Those tasks run the required processing and then automatically terminate once the work is complete. As a result, there’s no idle infrastructure sitting around, and the overall operational effort is significantly reduced.

On top of that, the smooth integration with ECS and the ability to scale workloads automatically make Fargate a strong choice for modern, cloud-native applications. Review collected by and hosted on G2.com.

What do you dislike about AWS Fargate?

For long-running workloads with predictable utilization, EC2-backed containers can sometimes be more cost-effective. That said, getting the best results often means fine-tuning CPU and memory allocations, which typically requires ongoing monitoring and optimization. While Fargate greatly simplifies operations, it can end up more expensive than EC2-based container deployments when you have consistently running, high-volume workloads. On top of that, troubleshooting container networking and resource utilization still requires familiarity with AWS networking concepts. Review collected by and hosted on G2.com.

What problems is AWS Fargate solving and how is that benefiting you?

AWS Fargate helps address infrastructure management challenges for containerized workloads.

Example:

In our data engineering environment, we use Fargate to run containerized file-processing and data transformation workloads. When files arrive in S3, event-driven workflows trigger containerized processing jobs that validate, enrich, and transform the data before loading it into downstream systems.

Previously, we would have needed to manage EC2 instances and handle capacity planning ourselves. With Fargate, compute resources are provisioned automatically and only when required, which reduces operational overhead and improves scalability. Review collected by and hosted on G2.com.