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I wont be getting into details of those as those are separate topics in itself. In a real scenario there are lot of functionalities which get activated within the API Gateway like Authentication, rate limiting rules, API keys etc. I am using a really simple version of the Gateway. This handles the routing the API requests for different API routes to the specific Lambda function. This is like a gate to the backend Lambda function. This exposes the API endpoint to the internet. Below image shows an overall architecture of the API and its different components. The app is basically a Flask API built using Python. To demonstrate the Lambda deployment methods in this post, I have developed a simple app which I will be deploying.
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But in this post I will go through steps to deploy a full Lambda function app using some common methods which can automate the Lambda deployment. These are some generic steps to create a Lambda function.
Upload the package and create the Lambda function from AWS console.
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Write the Lambda code in a choice language of yours.To get a simple Lambda function running, your typical steps will be: It is very useful to build application backends where the Lambda function will act as an API backend fronted by an API gateway. Lambda supports multiple languages and frameworks which can be used to write a whole application using a Lambda Function. How much memory the code execution may use up.As a developer using Lambda, you only have to worry about (at the least): You provide the code as a Lambda function and once its executed, Lambda takes care of provisioning the required infra on the backend. Using a Lambda function you can run or execute your application code without actually provisioning any App servers. Lambda is the Serverless computing platform service provided on AWS. Basic understanding of Docker and building Docker images.I will go through the installations in later sections: Here I will follow Pythonįew installations. Basic understanding of at least one coding language.Pre-Requisitesīefore I start, if you want to follow along and deploy your own Lambda, here are few pre-requisites you need to take care of in terms of installation and understanding: The sample code for each of the ways are included in the repo. Using SAM (Serverless Application Model) templates and Lambda LayersĪs always the whole code base is available on my GitHub Repo Here.
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It was very tough to work on the editor within the AWS console and it was tougher if you had to install packages with the function. So when I started learning Lambda functions and developing some of my own, one thing I always struggled with at the start was, how do I work on them locally. Now if you don’t know about Lambda functions, don’t worry I will get to it later. SLS_NOTIFY=true serverless Ĭustomize the notification sound.Recently I have been involved in developing a lot of AWS Lambda functions. If you want to force the sound to play event when sound is false, pass the SLS_NOTIFY_SOUND=true. Just set the SLS_NOTIFY to true or false, if you want notifications or not. custom:īesides the serverless.yml configuration, you can pass Environment Variables to force it to use or not. It gets the -stage option, then serverless.yml custom.stage, then serverless.yml provider.stage then 'development.' The first one it finds, is the value it considers. Whitelist commands, even when active is falseįor the stages, important to note how the plugin infers the stage. Attributeīlacklist commands, even when active is true The configuration of the plugin is done by defining a custom: notifyAfterCommand object in your serverless.yml with your specific configuration.
Install $ npm install serverless-notify-after-command -save-devĪdd the plugin to your serverless.yml file: plugins: This plugin depends that your operational system is able to run the bash commands: sleepįor the plugin to work, it creates a child process the checks the amount of processes from serverless running in the system. This is a simple plugin for Serverless Framework to send a notification to the linux system notification system after any serverless command (successfull or failed).