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Introduction
AWS Lambda function's code consists of scripts or compiled programs and their dependencies. We use a deployment package to deploy our function code to Lambda. Lambda supports two types of deployment packages: container images and .zip file archives. We are going to use the updateLambdaFunctionCode operation to deploy the function code. The operation can deploy the function code from the AWS ECR, S3 Bucket, and local Archive directory. We can select the option to publish a new version, but by default the operation will not publish the a new version. Using the Environment environment variables file or Input Argument input argument, we can also add the function Environment environment variables. Operation This operation also support supports encryption of the variables using AWS KMS key. Operation The operation will use the configured AWS cloud account to perform the operation.
Objective
The goal of the this tutorial is to deploy the function code using the Archive archive file from the Artifact artifact directory and publish the function version. We will use the Function function code and Environment environment file present at the git in a Git repository. We are going to add secured variables also and to encrypt these variables, we will use the AWS KMS key.
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These are the general steps we’ll follow:
Configuring properties e.g. Cloud account, and CLI path.
cloning Cloning the function code and create the Archive archive file.
cloning Cloning the environment file from Git repository
deploy Deploying the function code and adding the environment variables to the Lamba function.
verify Verifying the function code.
Checklist
Checklist | Description |
AWS Access Key | AWS Access Key of the user. |
AWS Secret Key | Password for the Access Key |
AWS Default Region | Default region can be set. eg. ap-south-1 |
AWS CLI installation | AWS CLI needs to be installed where the plugin operation shall run (FlexDeploy server) |
AWS CLI in class path | AWS CLI should be added to the class path on the FlexDeploy Server. Else the path can also be set under FlexDeploy environment level property |
AWS Lambda Function | AWS Lambda Function should be already present. |
AWS KMS Key | AWS KMS key to secured the environment variable. |
Configure Cloud Account
To connect with AWS Lambda Function, we required to configure Cloud account, with credentials details. Configure AWS Cloud Account under Integration. FlexDeploy will connect to the Lambda Function and add the environment variables.
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After configuration we would be able to use the Cloud Account as a drop down from the list.
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Create AWS Lambda Function
AWS Lambda is a compute service that lets you run code without provisioning or managing servers. Lambda runs your code on a high-availability compute infrastructure and performs all of the administration of the compute resources, including server and operating system maintenance, capacity provisioning and automatic scaling, and logging. With Lambda, all you need to do is supply your code in one of the language runtimes that Lambda supports. Please refer to the link for more information https://docs.aws.amazon.com/lambda/latest/dg/welcome.html
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If we check the Environment variables details under the Configuration, there is no environment variables are present. Once successful execution of the operation we should be able to see some environment variables.
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Create AWS KMS Key
AWS Key Management Service (AWS KMS) is a managed service that makes it easy for us to create and control the cryptographic keys that are used to protect our data. Please refer to the link for more information https://aws.amazon.com/kms/
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We can use Key ID or Key ARN value in the project to encrypt the variables, both are accepted.
Git Repository Structure
The Git repository contains the Environment file.
The Sample Git repository structure is given below.
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Environment Variable File Structure
This is the example of environment file with json structure, please refer the document to get more details about environment variables' acceptable structure.
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Pre-requisite
Configure IAM user
To access the Lambda Function we need to create an AWS IAM account with required permissions. To create the AWS IAM user navigate to the AWS Identity and Access Management (IAM) service page, and click on the Add users option. Next assign the required permission to access the Lambda Function. Once user is created, AWS secret key can be generated, this key we have to configure in Cloud account.
For more information about IAM user please ref. IAM users - AWS Identity and Access Management
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CLI Installation
AWS CLI should be installed in the m/c where the plugin is to be executed. Preferably add AWS CLI path in m/c classpath.
Build and Deploy Workflows
Navigate to the Workflows tab and create a workflow using the “+”(Click to create new Workflow) button as highlighted below.
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Next, create one Build and Deploy workflow as shown below. The workflow Type field defines the type of workflow.
Build Workflow
Navigate to the Workflows
Select the “+” button from the left-hand pane to create a new workflow
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Deploy Workflow
navigate to the Workflows
Select the “+” button from the left-hand pane to create a new workflow
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The Workflow Group and Subgroup define the folder hierarchy. Once both workflows are created it should look like the below. No constraint on workflow or folder naming convention.
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The steps of the workflow execution can be configured through the Workflow Definition section.
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button as highlighted below.
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Create one Build and one Deploy workflow.
Build Workflow
Below given is a sample build workflow to copy the file from Git repository.
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Step-iii: Copy the environment file
The below step will copy the environment file, so that it can be used from Deploy workflow.
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Deploy Workflow
Below given is a sample workflow to deploy lambda function code.
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This step will deploy Lambda function code, and also publish the function version.
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In above configuration using The above step uses the following Inputs.
Input Name | Input Code | Type | Required | Description |
Additional Arguments | FDAWS_LAMBDA_INP_ADD_ENV_VAR_ADDITIONAL_ARG | String | No | Literal key and value pairs. e.g. --region=us-east-1 And for boolean type arguments give the option without any value. e.g --publish --debug |
Environment Variables | FDAWS_LAMBDA_INP_ENV_VAR | String | No | Environment Variables in acceptable format. |
Publish new version | FDAWS_LAMBDA_INP_PUBLISH_VERSION | Boolean | No | Select to publish a new version. Default value is false. |
Project Configuration
Navigate to the Project tab and create a Project with a logical name(AWS-Deploy-Lambda-Function-Code)
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Configure the Build and Deploy workflow that has been created in previous steps as shown below.
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Source Control
Configure the Source SCM repository under Source Control as shown below.
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To configure Project specific Source Control one first need to navigate to the Project Configuration tab.
Next, expand the SOURCE CONTROL option from the left-hand pane.
Select the appropriate Source Control Type
Configure Source Repository. For detailed steps of Source Control configuration please refer to Configure Source Control in FlexDeploy
Project Properties
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Lambda Function name: Name of the Function to add the environment variables, if lambda function name is not given name of the environment file will be use as function name.
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Please refer to the document for more details about Lambda function name and Artifact File path . AWS Lambda - Environment Variable File and zip File location options
Target Properties
Select Topology from the menu and then select Targets. Select the target group and environment, provide the properties detail, according to the description.
Properties | Mandatory field | Description |
Cloud Account | Optional | Select the Cloud Account to connect the Lambda Function. |
CLI Path | Optional | Directory where Cloud CLI is installed. |
AWS Region | Optional | Value of the AWS Region. |
Below given are the environment-specific values which need to be updated.
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Cloud Account
The AWS Cloud account needs to be set here from the drop-down. It will show all Cloud Accounts configured under Topology, which we have already mentioned earlier.
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CLI Path
AWS CLI path can be set as environment property, if it’s not set then by default plugin will check for CLI in system classpath.
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Override Properties at Project level
Let assume a scenario, where we want to change Cloud account for any specific project. Apart from setting at environment level, it can also be set at project properties by using Override Property. Please check below mentioned steps.
Navigate to the Project Configuration tab as shown above.
Next, select the PROPERTIES option from the left-hand pane.
Click on the OVERRIDE option.
Select the Cloud Account option from Property.
Select the Environment from the drop down list.
Select the Target Group from the drop down list.
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Build and Deploy Execution
For detailed steps on how to perform build and deploy, please refer to document. Deploy through FlexDeploy for AWS plugin
After Deploy Execution
Once the updateLambdaFunctionCode operation successful we can see the updated code and published version from the plugin output and AWS Lambda console.
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We can see the variable details on the AWS Lambda Function console.
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Sample code to Retrieve the Secured Variables
We have also added some non-secured variables ( Password and Mysql_Connection_String ) to the Lambda Function and to encrypt these variables we have used AWS KMS key, to get the values of secured variables we can use the sample code provided by AWS Lambda according to the Function code language. In our case we are using java script, below is the sample code to get the value of secured and non-secured variables and creating the response to print the values.
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