Fargate startup time how to#
Fargate startup time code#

Integrating the SQS and ECS service with the help of AWS lambda and add a TriggerĬreate SQS queue which will receive the event messages. Provide the container image to run on launching the task.Provide the task execution role and the memory, CPU requirements.Provide basic task details like name, task role.Provide the task definition details and create a new task definition in AWS ECS service Step 2: Configure task and container definition We selected Fargate based setup for our ECS tasks since it provides the option to run containers without having to manage servers Step 1: Select launch type compatibility: So, we are starting from the step where you need to setup a Task Definition. Steps to Implement Scaling on AWS ECS Fargate with SQS & Lambdaīelow are the steps to implement the system assuming ECS with Fargate is already configured. Our service overall architecture looked like this: You pay only for the compute time you consume ( Reference)

Fargate startup time code#

It lets you run code without provisioning or managing servers.

AWS Lambda: The task of passing the received SQS message and launching a task in Fargate was achieved with the help of this service.

For our use-case we created a docker image for running our machine learning models and ECS cluster along with Fargate helped to set up the required computing component with the advantage of not having to worry about any server management.

AWS Elastic Container Service (ECS) and AWS Fargate: ECS is a fully managed container orchestration service, AWS Fargate is a serverless compute for running containers, it removes the need to provision and manage servers, lets you specify and pay for resources used while running the container, and improves security through application isolation by design ( Reference).

AWS Simple Queue Service ( SQS): The task of passing the information related to uploaded video like the video url, video id is done with the help of this service ( Reference).

AWS Simple Storage Service (S3) : Videos uploaded are stored on AWS S3 ( Reference).

Settings, Update, debug and test the applicationĪrchitecture and Design for Scaling on AWS ECS Fargate with SQS & Lambdaįollowing AWS services were used to meet above use cases and launch this application:.

Create a jar for application code to upload the Lambda Function.

Integrating the SQS and ECS service with Help of AWS lambda.

Setting up Fargate based task Definition.

The article has below sections to explain on how you could use scaling on AWS ECS Fargate for application and events with SQS & Lambda

Launching Machine learning tasks with the received information in required compute engines.

Passing the uploaded video information for further processing.This problem statement can further be broken down into following tasks: Our service receives some events in form of SQS messages, this event consists of a URL of video which needs to be processed using machine learning algorithm. While fargate does provide time and cloud watch-based task scheduling, it doesn’t provide a way to trigger the task creation based on application event.

Fargate startup time how to#

IN this article we discuss how to create a serverless application for long running processing tasks using AWS Lambda, SQS and ECS Fargate.

Know more about how we used some of these services to set up a fully managed, scalable video processing application on AWS and how we did scaling on AWS ECS Fargate for application and events with SQS & Lambda AWS provides a set of fully managed services that can be used to make a serverless application.