5 posts
Start from a single business SLA — data freshness under 60 seconds — and trace backwards through dependency trees, metadata layers, known-error memory, and automated fixes to build an AI-operated production platform.
Uptime tools tell you a service is running. Gatus tells you the data pipeline is actually working. How I use 73 custom health checks to monitor infrastructure, data freshness, and pipeline completeness.
Practical, non-technical tips for sitting the AWS Professional certification exams, covering time management, question reading strategy, and physical endurance.
A practical approach to building an organisational machine learning pipeline that supports multiple tools, PMML-based model deployment, CI/CD practices, and A/B testing.
Personal views on the Open Data Platform (ODP) announcement and what it means for Hadoop users, BI vendors, and the major distribution companies.