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@aws-solutions-constructs/aws-lambda-elasticsearch-kibana

v2.74.0

Published

CDK Constructs for AWS Lambda to AWS Elasticsearch with Kibana integration

Downloads

1,637

Readme

aws-lambda-elasticsearch-kibana module


Stability: Experimental

All classes are under active development and subject to non-backward compatible changes or removal in any future version. These are not subject to the Semantic Versioning model. This means that while you may use them, you may need to update your source code when upgrading to a newer version of this package.


| Reference Documentation:| https://docs.aws.amazon.com/solutions/latest/constructs/| |:-------------|:-------------|

| Language | Package | |:-------------|-----------------| |Python Logo Python|aws_solutions_constructs.aws_lambda_elasticsearch_kibana| |Typescript Logo Typescript|@aws-solutions-constructs/aws-lambda-elasticsearch-kibana| |Java Logo Java|software.amazon.awsconstructs.services.lambdaelasticsearchkibana|

Overview

This AWS Solutions Construct implements an AWS Lambda function and Amazon Elasticsearch Service with the least privileged permissions.

Some cluster configurations (e.g VPC access) require the existence of the AWSServiceRoleForAmazonElasticsearchService Service-Linked Role in your account.

You will need to create the service-linked role using the AWS CLI once in any account using this construct (it may have already been run to support other stacks):

aws iam create-service-linked-role --aws-service-name es.amazonaws.com

Here is a minimal deployable pattern definition:

Typescript

import { Construct } from 'constructs';
import { Stack, StackProps, Aws } from 'aws-cdk-lib';
import { LambdaToElasticSearchAndKibana } from '@aws-solutions-constructs/aws-lambda-elasticsearch-kibana';
import * as lambda from "aws-cdk-lib/aws-lambda";

const lambdaProps: lambda.FunctionProps = {
  code: lambda.Code.fromAsset(`lambda`),
  runtime: lambda.Runtime.NODEJS_16_X,
  handler: 'index.handler'
};

new LambdaToElasticSearchAndKibana(this, 'sample', {
  lambdaFunctionProps: lambdaProps,
  domainName: 'testdomain',
  // TODO: Ensure the Cognito domain name is globally unique
  cognitoDomainName: 'globallyuniquedomain' + Aws.ACCOUNT_ID
});

Python

from aws_solutions_constructs.aws_lambda_elasticsearch_kibana import LambdaToElasticSearchAndKibana
from aws_cdk import (
    aws_lambda as _lambda,
    Aws,
    Stack
)
from constructs import Construct

lambda_props = _lambda.FunctionProps(
    code=_lambda.Code.from_asset('lambda'),
    runtime=_lambda.Runtime.PYTHON_3_9,
    handler='index.handler'
)

LambdaToElasticSearchAndKibana(self, 'sample',
                            lambda_function_props=lambda_props,
                            domain_name='testdomain',
                            # TODO: Ensure the Cognito domain name is globally unique
                            cognito_domain_name='globallyuniquedomain' + Aws.ACCOUNT_ID
                            )

Java

import software.constructs.Construct;

import software.amazon.awscdk.Stack;
import software.amazon.awscdk.StackProps;
import software.amazon.awscdk.Aws;
import software.amazon.awscdk.services.lambda.*;
import software.amazon.awscdk.services.lambda.Runtime;
import software.amazon.awsconstructs.services.lambdaelasticsearchkibana.*;

new LambdaToElasticSearchAndKibana(this, "sample",
        new LambdaToElasticSearchAndKibanaProps.Builder()
                .lambdaFunctionProps(new FunctionProps.Builder()
                        .runtime(Runtime.NODEJS_16_X)
                        .code(Code.fromAsset("lambda"))
                        .handler("index.handler")
                        .build())
                .domainName("testdomain")
                // TODO: Ensure the Cognito domain name is globally unique
                .cognitoDomainName("globallyuniquedomain" + Aws.ACCOUNT_ID)
                .build());

Pattern Construct Props

| Name | Type | Description | |:-------------|:----------------|-----------------| |existingLambdaObj?|lambda.Function|Existing instance of Lambda Function object, providing both this and lambdaFunctionProps will cause an error.| |lambdaFunctionProps?|lambda.FunctionProps|User provided props to override the default props for the Lambda function.| |esDomainProps?|elasticsearch.CfnDomainProps|Optional user provided props to override the default props for the Elasticsearch Service| |domainName|string|Domain name for the Cognito and the Elasticsearch Service| |cognitoDomainName?|string|Optional Cognito Domain Name, if provided it will be used for Cognito Domain, and domainName will be used for the Elasticsearch Domain| |createCloudWatchAlarms?|boolean|Whether to create recommended CloudWatch alarms| |domainEndpointEnvironmentVariableName?|string|Optional Name for the ElasticSearch domain endpoint environment variable set for the Lambda function.| |existingVpc?|ec2.IVpc|An optional, existing VPC into which this pattern should be deployed. When deployed in a VPC, the Lambda function will use ENIs in the VPC to access network resources. If an existing VPC is provided, the deployVpc property cannot be true. This uses ec2.IVpc to allow clients to supply VPCs that exist outside the stack using the ec2.Vpc.fromLookup() method.| |vpcProps?|ec2.VpcProps|Optional user provided properties to override the default properties for the new VPC. enableDnsHostnames, enableDnsSupport, natGateways and subnetConfiguration are set by the pattern, so any values for those properties supplied here will be overridden. If deployVpc is not true then this property will be ignored.| |deployVpc?|boolean|Whether to create a new VPC based on vpcProps into which to deploy this pattern. Setting this to true will deploy the minimal, most private VPC to run the pattern: One isolated subnet in each Availability Zone used by the CDK programenableDnsHostnames and enableDnsSupport will both be set to trueIf this property is true then existingVpc cannot be specified. Defaults to false.|

Pattern Properties

| Name | Type | Description | |:-------------|:----------------|-----------------| |lambdaFunction|lambda.Function|Returns an instance of lambda.Function created by the construct| |userPool|cognito.UserPool|Returns an instance of cognito.UserPool created by the construct| |userPoolClient|cognito.UserPoolClient|Returns an instance of cognito.UserPoolClient created by the construct| |identityPool|cognito.CfnIdentityPool|Returns an instance of cognito.CfnIdentityPool created by the construct| |elasticsearchDomain|elasticsearch.CfnDomain|Returns an instance of elasticsearch.CfnDomain created by the construct| |elasticsearchRole|iam.Role|Returns an instance of iam.Role created by the construct for elasticsearch.CfnDomain| |cloudwatchAlarms?|cloudwatch.Alarm[]|Returns a list of cloudwatch.Alarm created by the construct| |vpc?|ec2.IVpc|Returns an interface on the VPC used by the pattern (if any). This may be a VPC created by the pattern or the VPC supplied to the pattern constructor.|

Lambda Function

This pattern requires a lambda function that can post data into the Elasticsearch. A sample function is provided here.

Default settings

Out of the box implementation of the Construct without any overrides will set the following defaults:

AWS Lambda Function

  • Configure limited privilege access IAM role for Lambda function
  • Enable reusing connections with Keep-Alive for Node.js Lambda function
  • Enable X-Ray Tracing
  • Set Environment Variables
    • (default) DOMAIN_ENDPOINT
    • AWS_NODEJS_CONNECTION_REUSE_ENABLED

Amazon Cognito

  • Set password policy for User Pools
  • Enforce the advanced security mode for User Pools

Amazon Elasticsearch Service

  • Deploy best practices CloudWatch Alarms for the Elasticsearch Service domain
  • Secure the Kibana dashboard access with Cognito User Pools
  • Enable server-side encryption for the Elasticsearch Service domain using AWS managed KMS Key
  • Enable node-to-node encryption for the Elasticsearch Service domain
  • Configure the cluster for the Elasticsearch Service domain

Architecture

Architecture Diagram


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