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Change Log

[1.7.0] - 2026-07-16

New Starter Kits

  • GenAI GAIA Chatbot — RAG chatbot backend with document search, auth, and streaming API
  • Lakehouse Analytics — End-to-end lakehouse spanning data lake, governance, dataops, and consumption (Athena + Redshift QuickSight data sources) with sample ETL/crawler dataops and a full deploy walkthrough
  • Minimal — Starting point for custom configurations with base governance
  • MLOps Platform — Automated train → deploy → monitor pipeline for ML models

Starter Kit Changes

  • Renamed genai_acceleratorgenai_foundation
  • Renamed governed_lakehousedatazone_governed_lakehouse
  • Standardized READMEs across all starter kits
  • Removed top-level sample_blueprints/ and sample_configs/ directories. Equivalent examples are available in the external sample configurations repository.
  • Renamed sample_code/sample_customizations/

New Features

DataOps Aurora Module

  • New @aws-mdaa/dataops-aurora module: Aurora Serverless v2 cluster deployment with enterprise security
    • Supports multiple named PostgreSQL clusters per module (MySQL planned)
    • Config schema with top-level postgresql category object and named cluster maps
    • KMS encryption (project key or dedicated shared key), VPC isolation, enhanced monitoring
    • IAM database authentication, CloudWatch log exports, automatic admin password rotation
    • Per-cluster access managed policy with rds-db:connect, rds:Describe*, and Secrets Manager access
    • Top-level dataAdminRoles for cross-cluster admin access, per-cluster clusterAccessRoles
    • DataOps project integration for shared KMS key auto-wiring via projectName
    • Comprehensive, minimal, and no-project sample configs with inline documentation

DataOps Module Changes

DataOps Job Module

  • Expanded the supported workerType values beyond Standard, G.1X, and G.2X to include the larger general-purpose G family (G.4X, G.8X, G.12X, G.16X) and the memory-optimized R family (R.1X, R.2X, R.4X, R.8X) for demanding and memory-intensive ETL workloads. Existing configurations are unaffected (backwards compatible). Note: G.12X, G.16X, and all R types require a compatible Glue version and regional availability; incompatible combinations surface as CloudFormation deploy-time errors rather than at synth.

Data Science/AI/ML Changes

Bedrock AgentCore Runtime Module

  • Added optional allowedModelArns configuration parameter to scope execution role Bedrock model invocation permissions to specific model ARNs for least-privilege access
  • Added optional enforceVpcOnly configuration to restrict JWT/OAuth callers to VPC-only invocation via an auto-generated resource-based policy
  • Added optional networkConfiguration.vpcId field (required when enforceVpcOnly is true) to identify the VPC for the resource policy condition
  • Added new @aws-mdaa/agentcore-shared package for shared AgentCore construct utilities (reusable by future Gateway module)
  • Added built-in log data protection: customer-managed KMS encryption and CloudWatch Data Protection PII masking are now always applied to the service-created runtime log groups on every deployment. A built-in comprehensive set of PII identifiers (email addresses, credit card numbers, SSNs, names, addresses, US phone numbers, IP addresses) is always masked. Upgrade impact: existing deployments will gain a new KMS key, a Data Protection policy, and a log-protection custom resource on next deploy.
  • Added optional dataProtection.additionalIdentifiers configuration to mask additional AWS-managed data identifiers on top of the built-in set. This field is additive only and cannot reduce the built-in masking baseline. Breaking change: replaces the previous dataProtection.enabled/dataProtection.identifiers configuration — protection is no longer opt-in and the identifier list can no longer be narrowed. Existing configs using the old keys will be silently ignored; remove them to avoid confusion.
  • Added optional logRetentionDays configuration to set CloudWatch Logs retention on the runtime log groups (defaults to 30 days)
  • Migrated to typed CfnRuntime/CfnRuntimeEndpoint constructs for compile-time validation of property names/shapes. Logical IDs unchanged. Upgrade impact: existing runtimes will gain standard MDAA stack tags on next deploy — in-place tag update with no resource replacement.

Bedrock Builder Module

  • Added SSM parameters and CloudFormation outputs identifying deployed resource IDs, making them discoverable for downstream consumers: Bedrock Agent (id, ARN, alias id), Aurora PgVector vector store (cluster endpoint and secret name), OpenSearch Serverless collection (id, ARN), and the OpenSearch Serverless VPC endpoints. Upgrade impact: additive only — new SSM parameters and stack outputs appear on the next deploy; no existing resources are modified.

RDS Constructs

  • MdaaAuroraPgVector: the default engine version is now 16.13, as 16.6 has reached the end of support.

Data Analytics Changes

QuickSight Namespace Module

  • Added an optional enableEmailSyncing flag (default false) to each federation configuration. When enabled, the SAML federation role trust policy also grants sts:TagSession, scoped by conditions to only the Email session tag. This enables QuickSight email syncing for federated users.

QuickSight Account and Project Modules

  • Added optional resourceAccessRolePermissions to grant the QuickSight resource-access role (aws-quicksight-service-role-v0) the AWS-managed policies and S3/KMS access its data sources need; the quicksight-account module owns the role while quicksight-project attaches data-source-specific grants.
  • Added optional secretsManager authentication for data sources in the quicksight-project module.

Governance Module Changes

Audit Trail Module

  • Added optional eventSelectors configuration to scope CloudTrail S3 data event capture to specific buckets and key prefixes instead of logging all S3 data events account-wide. Each selector accepts a bucketName (or SSM parameter reference) and an optional objectPrefix. When omitted, the existing behavior (capture all S3 data events) is preserved.
  • Added a new trails configuration property accepting a map of named trail configurations. Each key becomes the trail's resource name segment, enabling multiple independent trails with separate S3 destinations, KMS keys, and event selectors in a single deployment. The existing trail property is now deprecated — migrate to trails with a key of 's3-audit' for equivalent behavior. Both properties can coexist during migration.

Utility Module Changes

EC2 Module

  • Added optional rules configuration to authorize additional ingress/egress rules on pre-existing (externally-owned) security groups referenced by id (supports ssm: references). Unlike securityGroups, it creates no security group; each rule renders to a standalone SecurityGroupIngress/SecurityGroupEgress resource, enabling connectivity between two security groups owned by different modules without a circular cross-stack dependency.

CLI

  • Module deployment hook commands now resolve {{context:<key>}} references against the module's effective context.
  • The mdaa CLI now validates --domain, --env, and --module filter values against the loaded config and fails fast with an error listing the unknown value(s) and the valid options, instead of silently matching nothing.

Core Framework Changes

  • Naming: Added MdaaResourceType enum and withResourceType() method to IMdaaResourceNaming interface, enabling custom naming modules to inject service-type abbreviations of the implementer's choosing into resource names (the abbreviations themselves are not produced by the enum). The default implementation is unchanged — no impact on existing deployments.

Deprecations

  • GAIA v1 removal target set to v1.9.0: @aws-mdaa/gaia and @aws-mdaa/gaia-l3-construct (GAIA v1), deprecated in favor of @aws-mdaa/gaia-v2 and @aws-mdaa/gaia-v2-l3-construct, now have a firm removal target of v1.9.0. Previously the removal was documented only as "a future release". v1 remains published and functional for existing deployments until then and will not receive new features. See MIGRATION_TO_V2.md for migration guidance.
  • Bedrock Agent module deprecation: @aws-mdaa/bedrock-agent-l3-construct is deprecated, as the Amazon Bedrock Agents service will no longer be open to new customers starting on July 30, 2026. Existing customers can continue to use the service as normal. We will support similar capabilities in the next release.
  • SageMaker Ground Truth and Model Monitoring modules deprecation: @aws-mdaa/sagemaker-ground-truth-l3-construct and @aws-mdaa/sagemaker-model-monitoring-l3-construct are deprecated, as both services will no longer be open to new customers starting on July 30, 2026. Existing customers can continue to use both services as normal. We will support similar capabilities in the next release.

General Changes

  • aws-cdk-lib upgrade to 2.258.0: aws-cdk-lib has been updated from 2.192.0 to 2.258.0. This version removes the lambda.Runtime.PYTHON_3_13 enum value and upgrades it to Runtime.PYTHON_3_14. Any MDAA config that references python3.13 as a Lambda runtime must be updated to python3.13t (thread-based) or another supported runtime (e.g., python3.14).
  • Updated dependencies to address CVEs (cryptography, requests, yaml, fast-xml-parser, follow-redirects, tmp, pytest)

Bug Fixes

  • Added allowlist validation of region (^[a-z0-9-]+$) and account (12-digit) config values before they are interpolated into CLI shell commands, at both config-parse time (for concrete values) and after reference resolution. Dynamic references ({{...}}) and the default sentinel are unaffected.
  • Fixed intermittent deployment failures caused by concurrent AWS::DataZone::Owner creation triggering DynamoDB transaction collisions (Transaction cancelled ... ConditionalCheckFailed ... AlreadyExists). CfnOwner resources that target the same domain unit are now chained sequentially via CloudFormation DependsOn, eliminating the race; owners on different domain units remain parallel. The chain order is derived from the owner construct id, so reordering a config's owner list produces no template change.
  • Fixed cross-account SMUS deploy failure in DataZone v2 domain config handler due to insufficient IAM authorization after recent AWS service update
  • Fixed DataOps Project cross-account resource link creation (one resource link per account)
  • Fixed missing KMS encryption on Data Warehouse cluster events SNS topic
  • Fixed GAIA v2 REST API missing per-method and per-user throttling
  • Fixed GAIA v2 REST API pagination tokens to be opaque and versioned
  • Fixed GAIA (v1) CDK synth failure caused by unsuppressed IAMNoInlinePolicy (NIST/HIPAA/PCI) findings on the CDK-managed S3 bucket-notifications handler for the RAG data-import upload bucket

[1.6.0] - 2026-05-22

Generative AI Accelerator v2 Module

  • New @aws-mdaa/gaia-v2 app and @aws-mdaa/gaia-v2-l3-construct providing an authenticated GenAI chatbot platform; successor to @aws-mdaa/gaia
  • AppSync Events API for real-time bidirectional streaming, fronted by Cognito User Pool authentication with optional external OIDC (e.g., Entra ID)
  • Pluggable data source model — exactly one of Bedrock Knowledge Base RAG, direct Bedrock model invocation with streaming, or customer-provided Lambda
  • Optional client and admin CloudFront UIs with custom-domain and ACM certificate support
  • Chat history, feedback, and service-interruption banner backed by KMS-encrypted DynamoDB tables
  • WAF protection (regional and global), VPC-attached Lambda execution, and synth-time validation of misconfigurations

SageMaker Ground Truth Module

  • New @aws-mdaa/sagemaker-ground-truth app for automated, continuous data labeling pipelines
  • EventBridge + SQS + Step Functions architecture for continuous S3 ingestion to batched labeling jobs
  • SageMaker Feature Group integration for persisting labeled data
  • Optional verification labeling job with automatic re-queue of rejected items
  • Configurable EventBridge Scheduler triggers, DLQ with CloudWatch alarms

SageMaker MLOps Module

  • New @aws-mdaa/sagemaker-mlops app for training, deployment, batch inference, and monitoring pipelines
  • New @aws-mdaa/sagemaker-endpoint app for deploying SageMaker model endpoints
  • Generic buildPolicies configuration for attaching custom IAM policies (managed policy ARNs or inline policy documents) to CodeBuild pipeline roles, with optional CDK Nag suppressions
  • Registry authentication for CodeArtifact, Artifactory, GitLab, etc. is now handled entirely in user buildspecs
  • Optional CodeArtifact integration alongside public npm support

SageMaker L2 Constructs

  • Added MdaaSageMakerProjectTemplate, MdaaGroundTruth, and MdaaModelMonitor for ML lifecycle management

Data Science/AI/ML Changes

Data Science Team Module

  • Added optional MLflow tracking server configuration to the team's SageMaker Studio domain for experiment tracking
  • Added per-user JupyterLab space provisioning via the new jupyterLab configuration

Bedrock AgentCore Runtime Module

  • Added enableTransactionSearch configuration parameter to optionally skip X-Ray Transaction Search Config creation when the resource already exists
  • Added protocolConfiguration configuration parameter for runtime protocol selection
  • Removed unneeded resource policy from the runtime construct

RDS Constructs

  • MdaaAuroraPgVector: engine version is now configurable via the engineVersion prop (default 16.6). The default is provided for backward compatibility but is not maintained long-term — explicitly set the engine version to avoid future breakage
  • MdaaRdsServerlessCluster: reader instance count is now configurable via the numberOfReaderInstances prop (default 1)
  • BedrockKnowledgeBase L3 construct: engineVersion from vector store config is now passed through to the Aurora PgVector cluster

DataOps Module Changes

Data Quality Module

  • Added multi-source support for rulesets — each ruleset can specify Glue, S3, or Redshift as its data source via a source block, with metadata published to SSM for downstream DQ evaluation jobs
  • Added recommendation-based rulesets via recommendationRunId, delegating rule generation to Glue DQ recommendations
  • Added dynamic target discovery via dynamicTargets for runtime dataset enumeration by DQ evaluation jobs
  • Added smusPublishing configuration for publishing data quality metrics to SageMaker Unified Studio (DataZone)
  • Added smusAssetId per-ruleset field for mapping DQ results to DataZone assets

DataOps Job Module

  • Added pre-built data quality evaluation scripts (dq-main.py, dq_config.py, smus.py) enabling deployment of a working DQ evaluation Glue job without writing any code

DMS Constructs

  • Added expectedBucketOwner support to S3 endpoint settings for cross-account bucket protection

Data Lake Changes

  • Added optional S3 Storage Lens support — enable via storageLensEnabled
  • Added optional CORS support — configure via corsRules

Data Analytics Changes

Data Warehouse Module

  • Added multiAz (multi-AZ high availability) and backupRegion (cross-region snapshot copy) configuration options
  • Added publicAccessBlockManagedExternally option to skip the explicit BlockPublicAccess setting on S3 buckets; settable globally via CDK context (@aws-mdaa/publicAccessBlockManagedExternally: true) or as a per-module property
  • Fixed type for parameterGroupParams configuration

Governance Module Changes

DataZone/SMUS Modules

  • Added simplified authorizations interface for domain and domain unit configuration, supporting projectCreators, eligibleProjectMembers, domainUnitCreators, glossaryCreators, and environmentCreators as a concise alternative to full authorizationPolicies objects
  • authorizationPolicies and authorizations are now supported at the root domain level (BaseDomainProps), not just on individual domain units
  • Domain owners (users, groups, and associated account CDK users) now automatically receive version-aware project creation authorization policies in addition to ADD_TO_PROJECT_MEMBER_POOL
  • Deprecated allowAllUsers, allowedUsers, and allowedGroups on domain units in favor of authorizations.eligibleProjectMembers or authorizationPolicies. Switching from these deprecated properties requires a two-step migration: first remove the deprecated properties and deploy, then add the new configuration and redeploy. A single-step migration will produce PolicyGrant conflicts.

Account-Level Modules

  • Glue Catalog, LakeFormation Settings, Macie Session, and QuickSight Account modules now create a static SSM parameter (/account-module-lock/<module-name>) that prevents multiple deployments of the same module to a single AWS account

Roles Module

  • Added optional additionalTrustedActions for the role primary principal, allowing extra actions like sts:TagSession to be added to the trust policy

Utility Module Changes

CLI

  • Added optional permission boundary name input to apply an IAM policy as permission boundary to all IAM roles

Deprecations

  • @aws-mdaa/gaia and @aws-mdaa/gaia-l3-construct (GAIA v1) are deprecated in favor of @aws-mdaa/gaia-v2 and @aws-mdaa/gaia-v2-l3-construct
    • v1 packages remain published and functional for existing deployments but will not receive new features
    • v1 packages will be removed in a future major release
    • v2 is a re-architected GAIA backend (Cognito, AppSync Events, CloudFront) and is not a drop-in replacement. See MIGRATION_TO_V2.md for guidance

General Changes

  • Every app module now includes sample-config-minimal.yaml and sample-config-comprehensive.yaml with full schema coverage, inline documentation, and template variables for portability
  • All app module READMEs follow a consistent structure with architecture overview, configuration reference, and ordered sample config sections
  • Replaced Jest snapshot and synth tests with CDK diff-based baseline testing across all app modules, using the CDK toolkit's semantic diff engine to detect resource changes
  • Updated dependencies to address CVEs (pyjwt, ts-jest, lodash, ajv, and others)

Bug Fixes

  • Fixed IAM Policy cross-stack collision in dataops-job and sm-studio-domain caused by BucketDeployment adding inline policies to imported roles
  • Fixed construct ID collision when multiple security groups are defined in a DataOps project
  • Fixed model deploy stage IAM policy size overflow in SageMaker MLOps by separating account role responsibilities
  • Fixed MdaaSqsQueue mis-spelled encyption property that prevented the explicit KMS encryption mode from being applied
  • Fixed missing ECR permissions in Bedrock AgentCore Runtime when containerUri configuration parameter is used
  • Fixed SageMaker AI Domain updates failing with "resource already exists" when only mutable settings (default user settings, domain settings) change. Note: changing immutable properties (AuthMode, DomainName, KmsKeyId, VpcId) still requires manual domain recreation
  • Fixed 403 PROJECT_CREATE_FAILED error in same-account DataZone deployments by granting CREATE_PROJECT / CREATE_PROJECT_FROM_PROJECT_PROFILE and ADD_TO_PROJECT_MEMBER_POOL authorization policies to the cfn-exec role and data-admin role on the root domain unit
  • Fixed DataZone SageMaker domain child stack not inheriting parent account and region, which caused failures in cross-account deployments
  • Fixed DataZone environment naming to use the naming helper with maxLength enforcement
  • Fixed unique-environment generation in SageMaker projects when the user supplies tooling
  • Fixed Lambda Alias CurrentVersion no longer being incorrectly flagged by CDK diff baseline testing
  • Fixed SageMaker endpoint construct using a non-fixed model name to avoid update conflicts
  • Fixed LakeFormation Settings SSO application ARN failing in Control Tower / delegated-admin IdC setups by no longer hardcoding the data platform account ID

[1.5.0] - 2026-03-13

New Features

SageMaker Unified Studio Domain and Blueprints Module

  • Added support for enabling and configuring managed blueprints
    • Added standard Tooling and LakeHouse (Glue Database) blueprint configurations, including creation of all required Tooling resources
    • Compliance-related Tooling parameter overrides (VPC connectivity, KMS encryption, role permissions) are automatically applied
  • Any MDAA module can also be deployed as a custom SageMaker Unified Studio blueprint
    • Can be created from local CloudFormation templates or URLs
  • Added granular authorization policies for domain units
  • Streamlined domain configurations, using standard module SSM parameter lookups by default
    • Glue Catalog KMS key ARN is now optional for associated accounts; RAM-shared SSM parameter used by default

SageMaker Unified Studio Project Profiles and Projects Module

  • Project profiles support target accounts, deployable environments, reusable environment templates, and parameter overrides
  • Projects can be assigned to domain units with configurable ownership and membership
  • Existing Glue databases can be imported as data sources
  • Projects can be deployed in the domain account or in associated accounts

Glue Catalog Settings Module

  • Glue Catalog KMS key SSM parameters are now automatically shared to consumer accounts via AWS Resource Access Manager (RAM)

Lake Formation Settings Module

  • Added trusted account configuration for cross-account DataZone/SageMaker Unified Studio integration

Governance Module Changes

DataZone Domain Module

  • Streamlined domain configurations, using standard module SSM parameter lookups by default
    • Glue Catalog KMS key ARN is now optional for associated accounts
    • RAM-shared SSM parameter used by default
  • Added granular authorization policies for domain units

DataOps Module Changes

  • All DataOps modules can now be deployed independently without a DataOps Project
    • projectName config parameter is now optional
    • Project resources can be directly specified in module configs when not using a DataOps Project

DataOps Project Module Changes

  • Glue Catalog KMS key configuration now defaults to standard SSM parameter when not explicitly specified
  • Glue Crawlers can be automatically created for project-created Glue Databases
  • SageMaker Unified Studio projects can be created with DataOps projects
    • SMUS/DataZone data sources can be automatically created for project-created Glue Databases
    • Project admin, data engineer, and execution roles can be added as SMUS/DataZone project members

OpenSearch Module Changes

  • Added SAML-based authentication for enterprise identity federation

Data Science/AI/ML Changes

  • BedrockKnowledgeBaseL3Construct now creates fewer policies for MdaaRdsDataResource; resource manages its own policy statements internally and can be deployed independently
  • Bedrock Builder data sources now publish SSM parameters identifying their IDs

Utility Module Changes

SFTP Server Module

  • Added optional securityPolicyName configuration for Transfer Family SFTP server, enabling deployment in regions that do not support FIPS security policies (e.g., eu-west-1)

General Changes

  • Added useStaging CLI parameter to force modules to deploy in config-defined order instead of using staging values from module packages
  • Added --cdk-out, --baseline, and --diff-out CLI flags for comparing CloudFormation templates against stored baselines without requiring AWS deployment
  • Added !include tag support for referencing external files in YAML configurations
  • Added simplified SSM parameter scope prefixes: ssm-org:, ssm-domain:, and ssm-env:
  • Added blueprint: prefix for referencing SSM parameters created by SageMaker Unified Studio blueprints
  • Added variable placeholders support in predeploy and postdeploy hook commands
  • CLI now validates -d, -e, and -m filter values upfront, including environment templates, and errors if they don't match any configured domains, environments, or modules
  • Simplified installer stack by removing CodePipeline/S3 source and CodeStar ARN requirements, running mdaa directly from npmjs.org
  • Starter kit configurations moved to starter_kits; examples now on AWS Samples
  • Improved config schema documentation
  • Improved README content and sample module configs
  • Renamed remaining @aws-caef references to @aws-mdaa

Bug Fixes

  • Fixed deployment failures in accounts with SCPs that deny logs:DeleteRetentionPolicy by preventing CDK's LogRetention custom resource from being created in stacks that use MdaaLambdaFunction
  • Fixed LogRetention custom resource interfering with metric filters and log insights queries
  • Tightened IAM permissions and added pre-deployment suppression review TODOs in starter kits

[1.4.0] - 2026-01-30

New Features

  • Users can now add CloudWatch observability features to Lambda Functions
  • New Bedrock AgentCore Runtime app enables users to create secure agentic applications with minimal MDAA configuration
  • New Glue Data Quality app allows users to define and apply AWS Glue Rulesets to tables
  • Improved MDAA configuration context fields by allowing lists and objects in addition to strings and numbers
  • LakeFormation users can now apply Tag-Based Access Control
  • Updated lodash and urllib3 package versions to address security vulnerabilities

Bug Fixes

  • Fixed cross-account LakeFormation issues when regions are not the same across accounts
  • Fixed deployment failures of VPC Endpoints when bedrock builder knowledge base uses OpenSearch Serverless on different VPCs
  • Fixed jsii issues by ensuring all packages contain jsii in its npm package tarball
  • Fixed Glue job scenario where additional scripts aren't appearing in the correct configuration
  • Fixed bedrock builder knowledge base bug where the number of policies per role can unnecessarily exceed the AWS limit

[1.3.0] - 2025-11-24

General Changes

  • Updated CDK version to 2.220.0
  • Updated CDK Nag to 2.37.55
  • Enhanced build pipeline configuration and dependency management
  • Added additional checks and automation for NPM publishing
  • Improved testing framework and snapshot management
  • Added architecture diagrams for resources deployed by applications
  • Fixed build and test pipeline log limits issue
  • Updated package-lock with missing packages
  • Improved lerna version bump logic

Bug Fixes

  • Fixed TypeError with additional_stacks configuration when using map function
  • Fixed cyclic dependencies issue when creating stacks in us-east-1 with additional_stacks config
  • Fixed tag_config_data in governed_lakehouse sample configuration
  • Added description to installer stack template
  • Fixed OpenSearch missing dependency in knowledge base package.json
  • Fixed JS files being incorrectly ignored in builds
  • Fixed publish pipeline stage issues
  • Fixed Macie TypeScript executable reference

Governance Changes

  • Enhanced Lake Formation resource link to assume first region of account from additional stacks
  • Improved Lake Formation access control for multi-region deployments

Data Science/AI/ML Changes

  • Added EFS CreateFileSystem permission with encryption enforcement to SageMaker Studio Domain handler for domain creation support
  • Added JupyterLab lifecycle configuration support for SageMaker Studio domains
    • JupyterLab apps now support lifecycle configurations similar to Jupyter Server apps
    • Enables custom environment setup and package installation for Studio (Latest) JupyterLab environments
    • Lifecycle configurations can include assets and commands that run when JupyterLab containers launch
  • Fixed Data Science config permissions to allow data scientists to open SageMaker AI Studio
  • Enhanced SageMaker AI domain with lifecycle configuration setup capabilities
  • Improved GAIA Aurora PGVector RAG engine configuration

[1.2.0] - 2025-10-08

General Changes

  • Enhanced CI/CD pipeline with cornerstone publishing and improved test coverage
  • Added Python testing framework integration to CI/CD pipelines
  • Improved documentation generation and configuration object documentation
  • Enhanced release management with proper versioning and prerelease handling
  • Added support for issue and merge request templates
  • Improved build processes with better dependency management
  • Enhanced error handling and validation across modules
  • Added support for testing published NPM packages
  • Improved Docker command handling in CI/CD processes

Security Changes

  • Enhanced PCI compliance with additional CDK Nag ruleset validation
  • Improved security documentation with consolidated SECURITY.md
  • Enhanced AppSec review compliance and findings resolution
  • Strengthened KMS encryption actions to remove unnecessary wildcards
  • Added Bedrock Guardrail for PII removal capabilities
  • Improved least privilege principles for DataZone policies

Governance Changes

  • Enhanced DataZone module with domain units support and improved version handling
  • Added Identity Center (IdC) support in Lake Formation settings
  • Improved SageMaker Catalog module compatibility with DataZone changes
  • Enhanced cross-account lambda invocation samples
  • Added Macie session support for account-level deployment
  • Improved governance category organization of modules

Data Lake Changes

  • Enhanced multi-region support for MDAA module deployment
  • Improved Athena workgroup configurations
  • Enhanced S3 bucket lifecycle policy management
  • Added support for unique bucket naming with UUID suffixes
  • Improved Lake Formation role permissions for bucket write access

DataOps Changes

  • Added support for Scala Glue ETL jobs
  • Enhanced DynamoDB app module with new functionality
  • Improved DMS module with bug fixes and enhanced endpoint configurations
  • Added support for external library references in Glue jobs
  • Enhanced DataOps Lambda module with scope override options
  • Improved Nifi module with Kubernetes version updates and registry integration
  • Added support for custom EventBridge rule inputs
  • Enhanced Step Function orchestration blueprints
  • Improved Glue workflow timeout handling
  • Added continuous log groups for Glue jobs
  • Enhanced DataOps project module with improved database and role grant handling

Data Science/AI/ML Changes

  • Enhanced Bedrock Builder module with improved Knowledge Bases and Guardrails support
  • Added OpenSearch Serverless Vector DB support
  • Enhanced Aurora Serverless Vector DB with sizing parameters
  • Improved model invocation logging configuration
  • Added support for inference profile endpoint IDs
  • Enhanced Bedrock region configuration and resource dependencies
  • Improved GenAI Accelerator (GAIA) with v2 enhancements
  • Added support for Bedrock Agent deployment independence
  • Enhanced knowledge base resyncing functionality based on S3 sources
  • Improved SageMaker Studio experience with new default settings
  • Added support for custom parsing strategies and chunking configuration

Data Analytics Changes

  • Enhanced Redshift Data Warehouse with support for actual AWS node types
  • Added support for Redshift cluster creation from existing snapshots
  • Improved QuickSight IP address restrictions
  • Enhanced OpenSearch domain configurations

Core/Utility Changes

  • Enhanced EC2 module with improved security group configurations
  • Improved SFTP Transfer Family server and user management
  • Enhanced EventBridge module with better event bus policy handling
  • Added DataSync improvements for data movement services
  • Enhanced Lambda layer builds with specific Python runtime support
  • Improved CDK asset builds with Docker fallback to pip

[1.1.0] - 2025-08-15

General Changes

  • Bumped CDK to latest version (2.201.0)
  • Bumped CDK Nag to latest version (2.37.1)
  • Updated dependencies to resolve security vulnerabilities (aws-cdk-lib, langchain, pydantic, urllib3, opensearch-py, boto3)
  • Added multi-region support for MDAA module deployment
  • Added deployment hooks functionality
  • Enhanced lambda layers to be buildable for specific Python runtimes
  • Added snapshot testing for packages and installer
  • Improved ESLint configuration and code quality
  • Added account-level module duplication checks
  • Fixed various build issues and improved error handling
  • Updated solution manifest and installer stack template
  • Added python unit test framework
  • Added validation of service names to ensure conformance with regex requirements

Security Changes

  • Fixed KMS ENCRYPT_ACTIONS to remove unnecessary wildcards
  • Ensured DataZone policies follow least privilege principles
  • Added Bedrock Guardrail for PII removal

Governance Changes

  • Enhanced DataZone module with domain units support and version regression fixes
  • Improved SageMaker Catalog module compatibility with DataZone changes
  • Added support for cross-account lambda invocation samples
  • Added verbatim feature to role names

Data Science/AI/ML Changes

  • Added GenAI Accelerator v2 as a sample package
  • Added Health Data Accelerator (HDA) as a sample package
  • Enhanced Bedrock Builder module with Knowledge Bases and Guardrails support
  • Added functionality for resyncing knowledge bases based on S3 sources
  • Extended DataSource parsing strategies and chunking configuration
  • Added Aurora Serverless Vector DB sizing parameters
  • Fixed Bedrock region configuration and resource dependencies

DataOps Changes

  • Added support for Scala Glue ETL jobs
  • Added continuous log groups for Glue jobs
  • Added new DynamoDB app module
  • Fixed DMS module bugs and improved module ordering
  • Added option to override scope within DataOps Lambda L3 construct
  • Improved Iceberg-compliant catalog database names handling
  • Fixed role reference cascading updates to dependent resources
  • Allow user to request creation of necessary service roles for DMS

[1.0.0] - 2025-04-24

General Changes

  • Initial General Availability (GA) release