Every project on GitHub comes with a version-controlled wiki to give your documentation the high level of care it deserves. This article details the steps that I took in order to write my first C#-based Lambda function on my MacBook and deploy it to AWS.Visual Studio For Mac Golang Golang Mac Os Visual Studio Golang Support Document your code. NET Core app that targeted AWS Lambda. I have been a big fan of Visual Studio Code for writing Node and Python apps, but I never tried to write a. Since my primary laptop is now a Mid-2012 MacBook Air, I have been using Visual Studio for Mac as my primary IDE for writing C# apps, mainly using Xamarin. NET Core applications is to use Visual Studio 2017/2019 on my Windows laptop.This way, when the company has to generate a lot of documents at month-end, we can kick off a Lambda function that would generate a single document. When many people need to generate documents at the same time, the performance of the server degrades so severely that it impacts the company.Microsoft has released a new version of source-code editor Visual Studio Code that runs natively on Apple Silicon Macs like the MacBook Air, MacBook Pro, and Mac mini models with Apple M1 chips.As part of the migration to AWS that I am doing, I wanted to take this document-generation process and move it to a Lambda function on AWS. Currently, the document generation process runs on a single HP DL360 server.
Visual Studio Golang For Mac Golang GolangThe profile should contain your access key, your secret key, and optionally, the region and the output format.Also, before you start, go into the IAM console on AWS and make sure that the IAM role that you use has policies that will let you access Lambda functions, as well as letting the Lambda functions access certain AWS services (like S3, SNS, Dynamo, etc).In Visual Studio Code, you should do the following: You can find the name of your profile by viewing the file ~/.aws/credentials. These extensions will let you deploy and invoke a Lambda function from the command line.Dotnet tool install -g Amazon.Lambda.ToolsInstall the AWS Lambda Templates extension to the dotnet command line, and ensure that the AWS templates have been installedMake sure that the new templates have been installed by running this command:In order to generate the code, you need to know which profile you will be using when the Lambda function is deployed and executed. NET development and Lambda functions is here:Install the extensions to the dotnet command line. The AWS reference article on. Of course, I could have used my MacBook to remote into my Windows machine, but out of curiosity, I wanted to see if I could do everything on my MacBook.The first step was to read the AWS documentation on writing Lambda functions using C#. /src/DocGenerator/aws-lambda-tools-defaults.json, change the function handler:“function-handler” : “DocGenerator::DocGenerator.Function::SNSMessageFunctionHandler”Go into the SNS Console and create a new topic. /src/DocGenerator/aws-lambda-tools-defaults.json"DocGenerator::DocGenerator.SNSFunction::FunctionHandler"Once your Lambda function is running, you can use the AWS Explorer panel to view the Lambda.In Visual Studio Code, go to the Command Palette, and use the NuGet Package Manager:Add Package function to install the Amazon.Lambda.SNSEvents package.Public void SNSMessageFunctionHandler(SNSEvent snsEvent, ILambdaContext context)Var jsonEvent = JsonConvert.SerializeObject(snsEvent) Var jsonContext = JsonConvert.SerializeObject(context) Context.Logger.LogLine("-") In. NET class.Public string FunctionHandler(string input, ILambdaContext context)The entry point is defined in the file named. This function looks like this:// Assembly attribute to enable the Lambda function's JSON input to be converted into a. At the end of this cycle, you should have your new Lambda function built, deployed on AWS, and tested.A simple Lambda function will be generated for you. I just cycle through these commands using Visual Studio Code’s Terminal/Run Task menu. You can use the LambdaContext to perform logging to CloudWatch, to determine who called the function, and to get the unique request id in case you need to notify the caller asynchronously that the function has completed. The Lambda ContextThe LambdaContext is passed into the handler function and contains information about the environment that the function is operating in. You should see the log messages that indicate that the message was received from SNS. Then look at the CloudWatch log. For the endpoint, choose the DocGenerator function.In the SNS Console, publish a message on the topic. For the protocol, choose AWS Lambda. Create zip archive for windows on macNotice that we check the Use Lambda Proxy Integration option.After saving the API, we will just go to the Lambda dashboard for a second to make sure that the API Gateway is a new input source for the Lambda. Any API calls for this resource should contain /document in the URL path.We will hook up the API to the new DocGenerator Lambda function that we just created. Now it’s time to create a new API Gateway that will be used to handle the REST integration to the Lambda function.In the first step, we go into the API Gateway dashboard and create a new REST API called DocGeneratorAPI.We will create a single resource called Document. Here is the code:Public APIGatewayProxyResponse FunctionHandler(APIGatewayProxyRequest request,Var jsonEvent = JsonConvert.SerializeObject(request) Private APIGatewayProxyResponse CreateResponse(APIGatewayProxyRequest request)Int statusCode = (request != null) ? (int) HttpStatusCode.OK: (int) HttpStatusCode.InternalServerError PostPayload payload = JsonConvert.DeserializeObject(Request.Body ? "") // The response body is just the upper-case version of the string? JsonConvert.SerializeObject(payload.message.ToUpper())Var response = new APIGatewayProxyResponse"function-handler" : "DocGenerator::DocGenerator.APIGatewayFunction::FunctionHandler"Build and deploy the new code.
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