> Hello, I'm Alexandre Agius
Senior Solutions Architect at AWS. I experiment with AI agents, build voice-driven robots, and share what I learn along the way.
You have RHEL 9 instances in AWS China regions managed via SSM. Installing PostgreSQL 17 or EPEL packages means opening dozens of dynamic URLs through China's restricted network. Here is what actually works in production.
Your board asks 'is our data safe in the cloud?' The answer is not yes or no â it is a classification decision that maps each workload to the right control tier. Here is the framework, with the metadata exposure gap most teams miss.
Your CFO asks 'is our cloud well-run?' You need one dashboard, eight numbers, and zero jargon. Here is the framework: 4 money KPIs + 4 risk KPIs = Trust. With specific formulas, targets, and what to explicitly exclude.
Your data lives in AWS, Databricks, and Microsoft Fabric. Your business glossary is in Collibra. Users just want to find data and get access. Here is an agentic architecture that makes governance the default instead of the blocker.
Your RPA estate has 50 bots. Some should become AI agents, some should stay as bots, some need a hybrid pattern. Here is a repeatable, weighted scoring rubric â and the 5 migration patterns it maps to.
Boulder uses 9 Strands agents on Bedrock AgentCore to generate, deploy, and maintain full-stack apps on AWS Amplify â with self-healing builds and self-improving prompts.
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