
Jordan Hoey engineered robust cloud automation and infrastructure solutions across several HMCTS repositories, notably auto-shutdown and dtspo-daily-monitoring. He developed and refined end-to-end VM and database lifecycle automation, leveraging Azure, Terraform, and Bash to streamline resource management and reduce manual intervention. His work included production-grade scheduling, environment-aware controls, and cost optimization, with enhancements to CI/CD reliability and security auditing. Jordan addressed complex issues such as DST-aware scheduling, state consistency, and admin access hardening, demonstrating depth in debugging and infrastructure as code. His contributions improved operational efficiency, maintainability, and governance of cloud resources in demanding production environments.

April 2025 performance summary across three repositories, focused on reliability, security hardening, and IaC discipline. Key features delivered include: (1) DST-aware UK time scheduling fix for the daily-monitoring pipeline to ensure tasks run at correct times relative to UK DST; (2) admin access hardening and deployment-order improvements for the PostgreSQL v15 replica to reduce unsecured exposure and improve provisioning sequences; (3) Terraform import support to bring an existing Azure PostgreSQL AD Administrator resource under Terraform management for consistent state; (4) audit reporting improvement in plum-frontend to suppress vulnerability 1103907 (no code changes, updated audit configuration). Major bugs fixed include the DST-related cron timing adjustment. Overall, these changes improve reliability in production monitoring, security posture of database provisioning, and governance of infrastructure as code and audits. Technologies/skills demonstrated include Azure Pipelines YAML, DST/timezone awareness, PostgreSQL v15, Terraform (including import), Terraform state management, and security/audit process improvements.
April 2025 performance summary across three repositories, focused on reliability, security hardening, and IaC discipline. Key features delivered include: (1) DST-aware UK time scheduling fix for the daily-monitoring pipeline to ensure tasks run at correct times relative to UK DST; (2) admin access hardening and deployment-order improvements for the PostgreSQL v15 replica to reduce unsecured exposure and improve provisioning sequences; (3) Terraform import support to bring an existing Azure PostgreSQL AD Administrator resource under Terraform management for consistent state; (4) audit reporting improvement in plum-frontend to suppress vulnerability 1103907 (no code changes, updated audit configuration). Major bugs fixed include the DST-related cron timing adjustment. Overall, these changes improve reliability in production monitoring, security posture of database provisioning, and governance of infrastructure as code and audits. Technologies/skills demonstrated include Azure Pipelines YAML, DST/timezone awareness, PostgreSQL v15, Terraform (including import), Terraform state management, and security/audit process improvements.
February 2025 monthly summary for hmcts/auto-shutdown: Stabilized the auto-start sequence by adjusting the workflow schedule to ensure the flexible server starts before virtual machines, reducing startup race conditions and downtime.
February 2025 monthly summary for hmcts/auto-shutdown: Stabilized the auto-start sequence by adjusting the workflow schedule to ensure the flexible server starts before virtual machines, reducing startup race conditions and downtime.
January 2025 (2025-01) monthly summary for hmcts/auto-shutdown. Focused on delivering key features, fixing critical data accuracy bugs, and driving operational efficiency through refined scheduling rules. Highlights include: 1) Guidance improvements for skip auto-shutdown request forms, clarifying that Bastion servers fall under Cross-Cutting and should be requested separately if the primary request is for CFT; 2) Scheduling enhancements to cover more resources daily with a refined exclusion rule that applies only on the 27th and an additional 23:00 shutdown window for broader coverage; 3) Azure resource power state data accuracy fixes ensuring consistent powerState.code and displayStatus across status checks and data queries. These changes improve user guidance, data reliability, and cost optimization.
January 2025 (2025-01) monthly summary for hmcts/auto-shutdown. Focused on delivering key features, fixing critical data accuracy bugs, and driving operational efficiency through refined scheduling rules. Highlights include: 1) Guidance improvements for skip auto-shutdown request forms, clarifying that Bastion servers fall under Cross-Cutting and should be requested separately if the primary request is for CFT; 2) Scheduling enhancements to cover more resources daily with a refined exclusion rule that applies only on the 27th and an additional 23:00 shutdown window for broader coverage; 3) Azure resource power state data accuracy fixes ensuring consistent powerState.code and displayStatus across status checks and data queries. These changes improve user guidance, data reliability, and cost optimization.
December 2024 monthly summary focusing on key accomplishments, major features delivered, and impactful outcomes across hmcts/auto-shutdown and hmcts/dtspo-daily-monitoring. Delivered production-grade VM lifecycle automation, enhanced manual VM controls, improved issue template clarity, and strengthened daily monitoring reliability. Highlighted business value includes production resource cost control, faster remediation, and improved maintainability.
December 2024 monthly summary focusing on key accomplishments, major features delivered, and impactful outcomes across hmcts/auto-shutdown and hmcts/dtspo-daily-monitoring. Delivered production-grade VM lifecycle automation, enhanced manual VM controls, improved issue template clarity, and strengthened daily monitoring reliability. Highlighted business value includes production resource cost control, faster remediation, and improved maintainability.
2024-11 monthly summary for hmcts/auto-shutdown: Delivered enhancements and refactors to improve automation reliability, cost visibility, and scheduling accuracy. Focused on reducing noise in Slack notifications, stabilizing CI/CD details, improving weekend/late-night scheduling, and consolidating Azure Application Gateway and Flexible Server management scripts. The work drives operational efficiency, cost transparency, and robust shutdown automation in cloud environments.
2024-11 monthly summary for hmcts/auto-shutdown: Delivered enhancements and refactors to improve automation reliability, cost visibility, and scheduling accuracy. Focused on reducing noise in Slack notifications, stabilizing CI/CD details, improving weekend/late-night scheduling, and consolidating Azure Application Gateway and Flexible Server management scripts. The work drives operational efficiency, cost transparency, and robust shutdown automation in cloud environments.
October 2024 performance summary: Delivered end-to-end automation across VM, app gateway, AKS, and database workflows, with environment-aware controls and reduced manual intervention. Implemented Graph API-based VM queries, consolidated and refined start/stop workflows for critical components, and streamlined scripts and mappings to improve reliability and maintainability. A minor VM status display bug was fixed to improve readability and operability.
October 2024 performance summary: Delivered end-to-end automation across VM, app gateway, AKS, and database workflows, with environment-aware controls and reduced manual intervention. Implemented Graph API-based VM queries, consolidated and refined start/stop workflows for critical components, and streamlined scripts and mappings to improve reliability and maintainability. A minor VM status display bug was fixed to improve readability and operability.
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