Fargate serverless containers in AWS - Step-by-Step Execution

Process Flow - Fargate serverless containers

Define Container Image

↓

Create Task Definition

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Configure Fargate Service

↓

Launch Containers on Fargate

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AWS Manages Infrastructure

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Containers Run Serverless

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Scale Automatically Based on Load

This flow shows how you define a container, create a task, configure a Fargate service, and AWS runs your containers serverless, managing infrastructure and scaling automatically.

Execution Sample

AWS

1. Define container image
2. Create ECS task definition with Fargate launch type
3. Create ECS service using Fargate
4. AWS launches containers serverless
5. Containers run without managing servers

This sequence shows the steps to deploy containers on AWS Fargate, which runs them without you managing servers.

Process Table

Step	Action	Input/Config	AWS Response	Result
1	Define container image	Docker image URL	Image stored in registry	Ready to use image
2	Create task definition	Task JSON with container and Fargate launch type	Task definition registered	Task ready for launch
3	Create ECS service	Service config with desired count	Service created	Service ready to run tasks
4	Launch containers	Service starts tasks	Fargate provisions compute	Containers running serverless
5	Run containers	Containers start	AWS manages servers	Containers serve requests
6	Scale containers	Load increases	Fargate adds tasks	More containers running
7	Scale down	Load decreases	Fargate removes tasks	Fewer containers running
8	Stop service	User stops service	Tasks stopped	No containers running

💡 Service stopped or scaled to zero, no containers running

Status Tracker

Variable	Start	After Step 2	After Step 4	After Step 6	Final
Container Image	undefined	defined	used	used	used
Task Definition	undefined	registered	active	active	active
Service Desired Count	0	0	1	3	0
Running Containers	0	0	1	3	0

Key Moments - 3 Insights

Why don't I need to manage servers when using Fargate?

Because AWS Fargate provisions and manages the compute resources automatically as shown in steps 4 and 5 of the execution_table.

How does scaling happen automatically?

When load increases, Fargate adds more containers (step 6), and when load decreases, it removes containers (step 7), all managed by AWS.

What is the role of the task definition?

The task definition (step 2) tells AWS what container image to run and how, acting like a recipe for launching containers.

Visual Quiz - 3 Questions

Look at the execution_table, at which step does AWS start running containers serverless?

A Step 2

B Step 6

C Step 4

D Step 8

💡 Hint

Check the 'AWS Response' and 'Result' columns at step 4 in the execution_table.

According to variable_tracker, what is the desired count of containers after step 6?

A 3

B 1

C 0

D Undefined

💡 Hint

Look at the 'Service Desired Count' row under 'After Step 6' in variable_tracker.

If you stop the service, what happens to running containers according to the execution_table?

A They keep running

B They stop

C They scale up

D They restart automatically

💡 Hint

See step 8 in the execution_table under 'Result'.

Concept Snapshot

AWS Fargate runs containers serverless.
You define a container image and task definition.
Create a service with desired count.
AWS manages servers and scales automatically.
No need to manage EC2 instances.
Containers run and scale based on load.

Full Transcript

AWS Fargate lets you run containers without managing servers. First, you define your container image. Then, you create a task definition specifying the container and Fargate launch type. Next, you create an ECS service with a desired number of containers. AWS Fargate launches and runs your containers serverless, managing the underlying infrastructure. It automatically scales the number of containers based on load. When you stop the service, containers stop running. This process simplifies container deployment by removing server management.