This solution is built using AWS Cloud Development Kit (CDK). You can customize the solution by following the steps below.
Before you start customizing the solution, make sure you have the following prerequisites on your local machine:
- Python (>=3.9)
- NodeJS (v18 or later)
- Docker
if you are using ARM CPU like Apple M1 chip, please run
export DOCKER_DEFAULT_PLATFORM=linux/amd64
for building amd64 container image.
Clone the repository and make desired code changes.
git clone aws-solutions/centralized-logging-with-opensearch
The following is the file structure of the solution. You can customize the solution by modifying the files in the source
directory.
├── deployment/ - contains build scripts, deployment templates, and dist folders for staging assets.
│ ├── cdk-solution-helper/ - helper function for converting CDK output to a format compatible with the AWS Solutions pipelines.
│ ├── build-open-source-dist.sh - builds the open source package with cleaned assets and builds a .zip file in the /open-source folder for distribution to GitHub
│ ├── build-s3-dist.sh - builds the solution and copies artifacts to the appropriate /global-s3-assets or /regional-s3-assets folders.
├── source/
│ ├── constructs
│ │ ├── bin
│ │ │ └── main.ts - the main CDK stack for your solution.
│ │ ├── graphql - the graphql definition for the solution's backend APIs
│ │ ├── lambda - the source code for the solution's lambda functions
│ │ ├── lib - the CDK stacks.
│ │ ├── test - stack test cases
| │ ├── cdk.json - config file for CDK.
| │ ├── jest.config.js - config file for unit tests.
| │ ├── package.json - package file for the CDK project.
| │ ├── README.md - doc file for the CDK project.
│ ├── portal - react app that serves as user interface for this solution
│ ├── run-all-tests.sh - runs all tests within the /source folder. Referenced in the buildspec and build scripts.
├── .gitignore
├── buildspec.yml - main build specification for CodeBuild to perform builds and execute unit tests.
├── CHANGELOG.md - required for every solution to include changes based on version to auto-build release notes.
├── CODE_OF_CONDUCT.md - standardized open source file for all solutions.
├── CONTRIBUTING.md - standardized open source file for all solutions.
├── LICENSE.txt - required open source file for all solutions - should contain the Apache 2.0 license.
├── NOTICE.txt - required open source file for all solutions - should contain references to all 3rd party libraries.
├── README.md - required file for all solutions.
After you have customized the solution. Run the unit tests to ensure the solution is working as expected. Review the generated coverage report.
cd ./source
chmod +x ./run-all-tests.sh
./run-all-tests.sh
cd ..
To build your customized distributable follow given steps.
- Configure the solution name, version number and bucket name
export DIST_OUTPUT_BUCKET=my-bucket-name # bucket where customized code will reside
export TEMPLATE_OUTPUT_BUCKET=my-bucket-name # same as DIST_OUTPUT_BUCKET
export SOLUTION_NAME=my-solution-name # e.g., centralized-logging-with-opensearch
export SOLUTION_TRADEMARKEDNAME=my-solution-name # same as SOLUTION_NAME (e.g., centralized-logging-with-opensearch)
export VERSION=my-version # version number for the customized code (e.g., v2.1.9)
export REGION=aws-region-code # the AWS region to launch the solution (e.g., us-east-1)
Note: You would have to create an S3 bucket with the prefix 'my-bucket-name-<aws_region>'; aws_region is where you are testing the customized solution. Also, the assets in bucket should be publicly accessible.
- Build the distributable using build-s3-dist.sh
cd ./deployment
chmod +x ./build-s3-dist.sh
./build-s3-dist.sh $DIST_OUTPUT_BUCKET $SOLUTION_NAME $VERSION
cd ..
Upload the distributable to an Amazon S3 bucket in your account.
cd ./deployment
aws s3 cp ./global-s3-assets/ s3://$DIST_OUTPUT_BUCKET/$SOLUTION_NAME/$VERSION/ --recursive --acl bucket-owner-full-control
aws s3 cp ./regional-s3-assets/ s3://$DIST_OUTPUT_BUCKET-$REGION/$SOLUTION_NAME/$VERSION/ --recursive --acl bucket-owner-full-control
cd ..
Note: you must have the AWS Command Line Interface installed.
Once you have uploaded the distributable to your Amazon S3 bucket, you can start the deployment.
-
Deploy via CloudFormation
Get the link of the solution template uploaded to your Amazon S3 bucket.
Then you can deploy the solution to your account by launching a new AWS CloudFormation stack using the link of the solution template in Amazon S3.
-
Deploy via CDK
In case your accounts have not been bootstrapped for cdk yet, run:
npx cdk bootstrap
Then run:
cd ./source/constructs npx cdk deploy CentralizedLogging --parameters adminEmail=<your email address>