
Will Watters engineered robust infrastructure and monitoring enhancements across the hmcts/dtspo-daily-monitoring and hmcts/cnp-flux-config repositories, focusing on operational reliability and observability. He implemented daily monitoring schedules and refined Jira integration using Shell and YAML scripting, improving risk signaling and triage efficiency. In Kubernetes environments, Will stabilized monitoring during autoscaler events and upgraded the Dynatrace operator, leveraging Infrastructure as Code with Terraform and HCL. His work included scaling Logstash for higher throughput and ensuring accurate database processing, addressing both feature delivery and critical bug fixes. The solutions demonstrated depth in CI/CD, configuration management, and cross-environment automation for production resilience.

October 2025 monthly summary for hmcts/cnp-flux-config focused on delivering stability, capacity, and observability improvements in the Logstash data pipeline and Dynatrace integration. Efforts this month enabled higher throughput for IAC re-indexing, ensured complete and correct IA jurisdiction processing, stabilized monitoring during AKS autoscaling, and modernized the observability stack with an upgrade and a redesigned log routing/encryption workflow.
October 2025 monthly summary for hmcts/cnp-flux-config focused on delivering stability, capacity, and observability improvements in the Logstash data pipeline and Dynatrace integration. Efforts this month enabled higher throughput for IAC re-indexing, ensured complete and correct IA jurisdiction processing, stabilized monitoring during AKS autoscaling, and modernized the observability stack with an upgrade and a redesigned log routing/encryption workflow.
September 2025 monthly summary for repository hmcts/cnp-flux-config. Focused on stabilizing monitoring during autoscaler events, improving production resilience, and upgrading instrumentation to leverage latest stability improvements.
September 2025 monthly summary for repository hmcts/cnp-flux-config. Focused on stabilizing monitoring during autoscaler events, improving production resilience, and upgrading instrumentation to leverage latest stability improvements.
April 2025: Delivered operational safety and CI/CD reliability improvements across two repositories. Implemented robust temporary-DB exclusion in dtspo-daily-monitoring and stabilized Azure Pipelines Terraform testing by removing temp DB configs and re-enabling the Terraform test stage.
April 2025: Delivered operational safety and CI/CD reliability improvements across two repositories. Implemented robust temporary-DB exclusion in dtspo-daily-monitoring and stabilized Azure Pipelines Terraform testing by removing temp DB configs and re-enabling the Terraform test stage.
March 2025 monthly summary for hmcts/dtspo-daily-monitoring: Delivered targeted Jira status reporting enhancements and a critical status-check fix, improving accuracy, readability, and operational visibility. The work focused on refining BAU and related Jira views, and correcting the status-check loop to skip an incorrect PostgreSQL instance. These improvements deliver clearer BIU metrics, faster triage, and more reliable monitoring.
March 2025 monthly summary for hmcts/dtspo-daily-monitoring: Delivered targeted Jira status reporting enhancements and a critical status-check fix, improving accuracy, readability, and operational visibility. The work focused on refining BAU and related Jira views, and correcting the status-check loop to skip an incorrect PostgreSQL instance. These improvements deliver clearer BIU metrics, faster triage, and more reliable monitoring.
Concise monthly summary for Jan 2025 focusing on delivery of infrastructure monitoring enhancements via Azure DevOps pipelines, with a single feature delivered and no reported major bugs fixed. Emphasis on business value and reliability improvements.
Concise monthly summary for Jan 2025 focusing on delivery of infrastructure monitoring enhancements via Azure DevOps pipelines, with a single feature delivered and no reported major bugs fixed. Emphasis on business value and reliability improvements.
Delivered a feature in hmcts/dtspo-daily-monitoring to adjust the Azure Pipelines monitoring schedule and update Jira open-issues thresholds in the reporting script to reflect current risk levels (green <= 70, yellow <= 90). Implemented via two commits, enabling more accurate monitoring cadence and clearer risk signaling, reducing alert fatigue and improving triage efficiency for on-call teams.
Delivered a feature in hmcts/dtspo-daily-monitoring to adjust the Azure Pipelines monitoring schedule and update Jira open-issues thresholds in the reporting script to reflect current risk levels (green <= 70, yellow <= 90). Implemented via two commits, enabling more accurate monitoring cadence and clearer risk signaling, reducing alert fatigue and improving triage efficiency for on-call teams.
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