Grafana stack. From signals to operational decisions.
An observability platform I designed, built, and operate: metrics, central logging, custom collectors, and operational workflows managed as code.
Case study / Automation
Infrastructure as code and connected workflows for provisioning, configuration, and recurring operational tasks.
Repeated provisioning and operational tasks increased manual effort across a growing hybrid-cloud estate.
I build infrastructure automation and operational integrations, including deployment workflows, reporting, and documentation.
Use versioned infrastructure definitions and repeatable configuration. Apply AI assistance to implementation and investigation while retaining ownership of requirements and integration.
Terraform and Ansible automate provisioning and configuration. Azure DevOps supports delivery, while n8n connects recurring workflows with PagerDuty, Jira, and Teams.
Approximately 70% of provisioning automated, with recurring availability and performance reporting integrated into operational workflows.
Automation needs a clear owner, maintainable inputs, and documentation that lets other engineers operate it.
An observability platform I designed, built, and operate: metrics, central logging, custom collectors, and operational workflows managed as code.
A production data centre migration to Azure and IONOS, with attention to continuity, sizing, and ongoing cost.
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Hybrid cloud, observability, automation, or an interesting engineering challenge.