![]() In many real world scenarios you can typically acheive better utilization and better overall cost with small AWS Fargate tasks that are sized to your application’s true needs, compared to launching large EC2 instances that end up partially utilized. However, its important to realize that this assumes perfect density of containers on hosts, as well as perfect utilization. When comparing AWS Fargate tasks and EC2 instances side by side it will appear that AWS Fargate is slightly more expensive per hour for the same amount of compute. You can size a Fargate task all the way down to one quarter of a CPU and only 512 megabytes of memory, to minimize how much it costs. ![]() Gigabytes of memory your application task reserves, per second. With the AWS Fargate launch type billing is based on how many CPU cores, and If you don’t efficiently use your EC2 instances you will be wasting money. It is your responsibility to make sure that you pick the right size of EC2 instance and the right number of EC2 instances, to ensure that the containers you are running are are densely packed onto EC2 instances. When you use EC2 instances as capacity, it means your bill is based on the cost of the underlying EC2 instances. Which one you pick depends on which factors you want ![]() AWS Fargate (Run containers directly, without any virtual machines to think about)īoth are completely valid techniques for operating your containers in a scalableĪnd reliable fashion.EC2 (Deploy and manage your own cluster of self managed virtual machine instances that can each run one or more containers).There are two main compute options for running containers with Amazon Elastic
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