
Michael Jacobson modernized and stabilized the guardian/support-service-lambdas repository over three months, focusing on backend consent workflows and deployment reliability. He migrated legacy CloudFormation stacks to AWS CDK in TypeScript, introduced robust IAM and SQS event handling, and enhanced the consent processing logic to support userConsentsOverrides. Michael improved CI/CD pipelines, implemented code quality standards, and expanded test coverage using Jest and snapshot testing. He also integrated Scala-based Lambda functions and initiated support for Zuora API invoicing. His work established a maintainable infrastructure-as-code foundation, reduced deployment risk, and enabled future business integrations through careful refactoring, documentation, and configuration management.

June 2025 delivered a solid, maintainable foundation for guardian/support-service-lambdas and advanced readiness for continuous delivery. Key work included bootstrapping the repository in a fresh branch, extending CI coverage with a new lambda in the CI subproject matrix, and significant code quality and documentation improvements. We addressed blockers to CI/CD, stabilized the baseline with test scaffolding, skeleton Lambdas, and cleanup of the test suite. Infrastructure changes included switching the Riff Raff stack to membership and API surface improvements for controlled access (API key and usage plan). Documentation and standards work included comments in the Mparticle API TypeScript, code consistency improvements, and snapshots updates to support repeatable tests. These efforts reduce onboarding time, increase deployment reliability, and enable faster, safer business value delivery.
June 2025 delivered a solid, maintainable foundation for guardian/support-service-lambdas and advanced readiness for continuous delivery. Key work included bootstrapping the repository in a fresh branch, extending CI coverage with a new lambda in the CI subproject matrix, and significant code quality and documentation improvements. We addressed blockers to CI/CD, stabilized the baseline with test scaffolding, skeleton Lambdas, and cleanup of the test suite. Infrastructure changes included switching the Riff Raff stack to membership and API surface improvements for controlled access (API key and usage plan). Documentation and standards work included comments in the Mparticle API TypeScript, code consistency improvements, and snapshots updates to support repeatable tests. These efforts reduce onboarding time, increase deployment reliability, and enable faster, safer business value delivery.
In May 2025, the guardian/support-service-lambdas team focused on stabilizing consent processing, aligning the processing workflow, and enabling future invoicing integrations. Key outcomes include restoring prior ConsentsMapping behavior, aligning SQS queue mapping with the updated pipeline, preserving ProcessAcquiredSub behavior by default, expanding the soft opt-in consent setter to carry userConsentsOverrides through models, handler, and EventBridge, reintroducing removeSimilarGuardianProductFromSet with updated tests, and initiating Zuora PostInvoices API support. These changes reduce risk of regression, improve data integrity and processing reliability, and lay groundwork for revenue-related capabilities. Technologies demonstrated include Scala, AWS Lambda, SQS, EventBridge, and updated linting/dependency tooling, alongside improved unit testing and code quality practices.
In May 2025, the guardian/support-service-lambdas team focused on stabilizing consent processing, aligning the processing workflow, and enabling future invoicing integrations. Key outcomes include restoring prior ConsentsMapping behavior, aligning SQS queue mapping with the updated pipeline, preserving ProcessAcquiredSub behavior by default, expanding the soft opt-in consent setter to carry userConsentsOverrides through models, handler, and EventBridge, reintroducing removeSimilarGuardianProductFromSet with updated tests, and initiating Zuora PostInvoices API support. These changes reduce risk of regression, improve data integrity and processing reliability, and lay groundwork for revenue-related capabilities. Technologies demonstrated include Scala, AWS Lambda, SQS, EventBridge, and updated linting/dependency tooling, alongside improved unit testing and code quality practices.
April 2025 (guardian/support-service-lambdas) focused on platform modernization, consent workflow hardening, and deployment reliability. Key deliverables included migrating the soft-opt-in-consent-setter to CDK and recreating the CFN stack in TypeScript (with -CDK suffixes to prevent resource clashes; added app and file naming to lambdas), updating CI/Riff Raff pipelines, improving code quality (linting and test snapshots), and strengthening the guardian consent flow by introducing a userConsentsOverrides type and wiring it into MessageBody while removing redundant logic. IAM/policy hygiene improvements were rolled into the setter, with event-bus rules and SQSTrigger overrides added; several legacy config artifacts were removed. The combined effect is reduced deployment risk, clearer ownership of resources, and a stronger, test-backed governance around user consent. Technologies demonstrated include AWS CDK, TypeScript, CloudFormation, Lambda, IAM, SQS, EventBridge, and modern CI/CD tooling.
April 2025 (guardian/support-service-lambdas) focused on platform modernization, consent workflow hardening, and deployment reliability. Key deliverables included migrating the soft-opt-in-consent-setter to CDK and recreating the CFN stack in TypeScript (with -CDK suffixes to prevent resource clashes; added app and file naming to lambdas), updating CI/Riff Raff pipelines, improving code quality (linting and test snapshots), and strengthening the guardian consent flow by introducing a userConsentsOverrides type and wiring it into MessageBody while removing redundant logic. IAM/policy hygiene improvements were rolled into the setter, with event-bus rules and SQSTrigger overrides added; several legacy config artifacts were removed. The combined effect is reduced deployment risk, clearer ownership of resources, and a stronger, test-backed governance around user consent. Technologies demonstrated include AWS CDK, TypeScript, CloudFormation, Lambda, IAM, SQS, EventBridge, and modern CI/CD tooling.
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