Why the most powerful incident insights don’t live in dashboards, but in the real-time, human stories unfolding during failures—and how a “balcony” perspective can transform reliability, safety, and system health.
How an “analog incident tideclock” and hand-marked reliability ritual can help teams spot small stability drifts early—before they compound into major outages—by blending human-centered practices with modern SRE and AI-powered prediction.
How an “analog outage story cart” and AI-assisted tooling can turn your real production incidents into a rolling workshop for better reliability, faster response, and scalable learning across your team.
How to turn production incidents and failures into a browsable, physical card catalog that your team actually uses to learn, spot patterns, and improve systems over time.
How narrative incident stories, tabletop simulations, and human-centered reliability practices help teams sense where reliability tension is building—before systems fail.
How a low-tech, paper ‘train schedule’ of incidents and on-call rotations can reveal hidden fatigue, unfair load, and systemic risk long before your next major outage.
How low-risk, gamified tabletop reliability exercises can transform incident response, strengthen chaos engineering practices, and build a safer culture of resilience before real outages hit.
How to turn scattered on‑call hunches, weak signals, and ambiguous telemetry into a reliable early‑warning system using Symbolic AI, soft sensors, and real‑time data.
What an old train station ticket rack can teach us about logging sufficiency, timeline reconstruction, and building a forensically ready incident management practice.
How to turn outages and incidents into powerful, blameless stories that align your team, deepen learning, and make complex systems more understandable—by treating your post-mortems like a writers’ room.