AWS Use Fargate and Lambda for Serverless Compute
Use AWS Fargate and AWS Lambda For Serverless Compute
AWS Fargate is another serverless computing solution that may be better for your workload.
AWS Fargate is a managed service designed to run containers.
It allows you to migrate to serverless architecture using a lift and shift method.
A Lift-and-shift method is a process of copying an application from one environment to another.
AWS Fargate Uses
It's preferable for longer running processes or bigger deployment packages.
It may also be better suited to workloads with predictable usage patterns.
Lambda may be better suited for jobs that run under 15 minutes and have unreliable usage.
The table below compares AWS Fargate and AWS Lambda choices.
| AWS Fargate | AWS Lambda |
|---|---|
| Good for larger processes or deployment bundles | Good for tasks under 15 minutes |
| Lift and shift | It has erratic workloads |
| It has a predictable, consistent workload | Needs are unknown |
| It needs more than 3 GB of memory | Real-time data processing |
| Non-HTTP/S listener application | Stateless computing for applications |
| Portability of Docker images | Easy IT automation |
| It offers simplicity in development and operations |
Use AWS Fargate and AWS Lambda For Serverless Compute Video
W3schools.com collaborates with Amazon Web Services to deliver digital training content to our students.
