The methods I bring to production systems, cloud platforms, automations and product development.
I judge an automation by the time it saves and the work it takes to operate.
I build assuming something will fail at the worst possible moment. Incident response, monitoring and operating procedures are part of the work, not an afterthought.
Incident response · monitoring and alerting · on-call · postmortems
I use infrastructure as code to make provisioning and security rules repeatable and reviewable. Access control, audit trails and operating documentation belong in the same foundation.
Multi-account architecture · access control · audit trails · operating-cost control
Four AWS and HashiCorp exams behind this, listed on About →
I turn manual work into automations using APIs, MCP tools, data pipelines and code. Client requirements shape the automation; end-to-end and preview testing check the behavior before people rely on it.
Automation design · Model Context Protocol (MCP) · API integration · scrapers and data pipelines · AI agents
I bring ideas to the team, define how features should behave and test them. Writing the documentation and working with clients inform those decisions.
Can someone understand how to use it? Who can access the data? What happens when it fails?
Product direction · shared human-agent canvases · MCP & tool governance · feature development · developer experience