
Ciaran Carragher developed and enhanced automated cloud resource management solutions across several HMCTS repositories, focusing on cost optimization and operational reliability. In hmcts/auto-shutdown, he centralized VM Scale Set retrieval logic and expanded automation to support MySQL flexible servers, using Azure CLI, Shell Scripting, and CI/CD workflows to standardize tagging and streamline shutdown processes. He improved script reliability, log hygiene, and traceability, reducing operational noise and manual intervention. In hmcts/ops-runbooks, Ciaran remediated Dynatrace Helm install failures, updating troubleshooting guides and deployment workflows with Kubernetes and Helm expertise. His work demonstrated depth in cloud automation, infrastructure, and troubleshooting.

October 2025 monthly performance summary for hmcts/auto-shutdown. Delivered automated lifecycle management for MySQL flexible servers with auto-start/auto-stop, incorporating CI workflow integration, standardized environment tagging, and targeted code simplifications to improve reliability and reduce operational costs. This work laid the foundation for cost-aware, automated instance control across production and non-production environments.
October 2025 monthly performance summary for hmcts/auto-shutdown. Delivered automated lifecycle management for MySQL flexible servers with auto-start/auto-stop, incorporating CI workflow integration, standardized environment tagging, and targeted code simplifications to improve reliability and reduce operational costs. This work laid the foundation for cost-aware, automated instance control across production and non-production environments.
June 2025 monthly summary for hmcts/ops-runbooks focusing on stability and observability improvements in Dynatrace deployment workflows. Delivered a targeted remediation for Helm install failures and enhanced operational guidance to enable faster triage and repeatable deployments across environments.
June 2025 monthly summary for hmcts/ops-runbooks focusing on stability and observability improvements in Dynatrace deployment workflows. Delivered a targeted remediation for Helm install failures and enhanced operational guidance to enable faster triage and repeatable deployments across environments.
March 2025: Focused on expanding automation coverage and strengthening reliability for Azure resource shutdown workflows. Delivered VMSS support in autoshutdown, improved script reliability and logging, and reinforced log hygiene to improve traceability and cost governance across hmcts/auto-shutdown and hmcts/dtspo-daily-monitoring. These efforts reduced operational noise, enhanced decision-making data, and demonstrated strong scripting, Azure VMSS orchestration, and Git hygiene.
March 2025: Focused on expanding automation coverage and strengthening reliability for Azure resource shutdown workflows. Delivered VMSS support in autoshutdown, improved script reliability and logging, and reinforced log hygiene to improve traceability and cost governance across hmcts/auto-shutdown and hmcts/dtspo-daily-monitoring. These efforts reduced operational noise, enhanced decision-making data, and demonstrated strong scripting, Azure VMSS orchestration, and Git hygiene.
February 2025: Implemented a centralized VMSS information retrieval approach in hmcts/auto-shutdown by introducing a get_vmss function and refactoring the script to use it. The changes standardize VMSS selection by environment and business area tags, improve code organization, readability, and maintainability, and prepare the ground for easier scaling and troubleshooting of shutdown workflows.
February 2025: Implemented a centralized VMSS information retrieval approach in hmcts/auto-shutdown by introducing a get_vmss function and refactoring the script to use it. The changes standardize VMSS selection by environment and business area tags, improve code organization, readability, and maintainability, and prepare the ground for easier scaling and troubleshooting of shutdown workflows.
Overview of all repositories you've contributed to across your timeline