Perspectives
Engineering perspectives on agentic AI platforms, Apache Airflow, event-driven workflows, production-grade automation and security — from the team that builds and runs them.
The orchestration layer is becoming the control plane for enterprise AI
AI agents are only as trustworthy as the system that schedules, limits and records them. Why we put Apache Airflow and event-driven orchestration at the centre of enterprise AI platforms.
October 17, 2026 · 7 min read
Read moreBuilding agentic AI platforms that survive production
Agents fail in ways traditional software does not. The platform capabilities — evaluation, guardrails, tool permissions and observability — that separate a production agent from a prototype.
October 17, 2026 · 8 min read
Read moreAirflow 3 is a re-architecture, not an upgrade
Open-source Airflow 2 reached end of life on 22 April 2026. What actually changed in Airflow 3, what breaks, and how to plan a migration with zero downtime.
October 17, 2026 · 8 min read
Read moreEvent-driven workflows with Apache Kafka and Apache Airflow
Batch schedules leave the business waiting. A reference architecture for workflows that react to events in seconds while keeping retries, approvals and audit history.
October 17, 2026 · 7 min read
Read moreWhat makes a workflow production-grade
A pipeline that works is not the same as one you can run for years. Ten engineering standards we apply to every workflow before it carries real business load.
October 17, 2026 · 6 min read
Read moreSecuring AI agents and data pipelines
AI agents and orchestration platforms hold the keys to your most sensitive systems. The threats that matter — from prompt injection to pipeline supply chains — and the controls that address them.
October 17, 2026 · 7 min read
Read more