
Worked on the puppetlabs/puppetlabs-peadm repository to deliver two infrastructure automation features over two months, focusing on DevOps and Infrastructure as Code using Puppet and Ruby. Developed a dynamic database cleanup enhancement for the add_database plan, introducing logic to determine which databases to purge based on Puppet Enterprise version, thereby reducing manual maintenance and improving automation reliability during patch cycles. Later, implemented support for external PostgreSQL databases in cloud-backed installations by adding a cloud_database_host parameter, ensuring backward compatibility and expanding test coverage. Collaborated on code quality improvements, documentation updates, and robust CI validation to support evolving enterprise infrastructure needs.
June 2026 monthly summary for puppetlabs/puppetlabs-peadm highlighting key delivers and impact.
June 2026 monthly summary for puppetlabs/puppetlabs-peadm highlighting key delivers and impact.
December 2024: Delivered a dynamic database cleanup enhancement for the add_database plan in puppetlabs-peadm to support patching and HAC workflows. Introduced peadm::pe_db_names to dynamically determine databases to purge based on Puppet Enterprise version, ensuring compatibility across releases and reducing manual maintenance. Updated the add_database plan to align with patching/HAC (PE-39351), with commits tied to the change. This work improves automation reliability, mitigates risk during patch cycles, and enhances enterprise-wide database maintenance automation.
December 2024: Delivered a dynamic database cleanup enhancement for the add_database plan in puppetlabs-peadm to support patching and HAC workflows. Introduced peadm::pe_db_names to dynamically determine databases to purge based on Puppet Enterprise version, ensuring compatibility across releases and reducing manual maintenance. Updated the add_database plan to align with patching/HAC (PE-39351), with commits tied to the change. This work improves automation reliability, mitigates risk during patch cycles, and enhances enterprise-wide database maintenance automation.

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