Cloud Consultant And Instructor at learn.cantrill.io
Queensland, Australia
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Summary
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Rockstar
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Top School
Adrian Cantrill is a cloud consultant, instructor and hands-on solutions architect with over a decade of experience designing and operationalising AWS-centric, multi-cloud and hybrid infrastructures. He combines deep certification-backed expertise (multiple AWS Professional and Associate certs, VMware, Cisco, Microsoft and Linux credentials) with practical DevOps and automation skills demonstrated across courseware and infrastructure repos. As the founder of learn.cantrill.io and former head of cloud curriculum at Linux Academy, he builds real-world labs and training that span serverless, networking (BGP/VPN) and security topics—often contributing full-stack code and automation for course demos. Adrian’s background ranges from enterprise SAN and Windows migrations to large-scale CI/CD and serverless orchestration, giving him a rare ability to translate complex architectures into teachable, repeatable patterns. Based in Queensland, Australia, he is active in open-source lab development and prioritises reproducible, instructor-led content to accelerate cloud adoption.
10 years of coding experience
15 years of employment as a software developer
BSc (Hons), Computing, BSc (Hons), Computing at Sheffield Hallam University
Standard and Advanced Demos for learn.cantrill.io courses
Role in this project:
DevOps Engineer
Contributions:15 reviews, 433 commits, 103 PRs in 2 years 7 months
Contributions summary:Adrian's commits primarily focus on infrastructure and configuration management, demonstrated by the removal of the Amazon SSM Agent and also the installation of FRRouting for VPN demos. The user made changes to install scripts, indicating a strong focus on automating the setup and configuration of network devices and software. Their contributions included updates to shell scripts, particularly for BGP VPN deployments.
Contributions:8 commits, 3 PRs, 46 pushes in 2 months
Contributions summary:Adrian contributed to both the front-end and back-end aspects of a serverless reminder application, as demonstrated by modifications to HTML, JavaScript, and Python code. They updated the front-end by incorporating Bootstrap CSS, providing a user interface with input fields and buttons. On the back-end, the user modified Python code for an API handler and included a DecimalEncoder for JSON responses. These changes indicate a focus on the overall functionality and user experience of the reminder application.
botorefreshcsaamazon-web-servicesamazon-cognito
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Adrian Cantrill - Cloud Consultant And Instructor at learn.cantrill.io