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.
Discover how to use low‑risk, tabletop “paper” simulations—the Incident Story Origami Room—to rigorously test your on‑call playbook, uncover process gaps, and build muscle memory for real high‑stakes events.
How a simple ‘cargo dock with paper crates’ metaphor—and an actual wall of paper cards—can help teams surface hidden reliability debt, manage their SAFe/Team Kanban backlog, and prioritize risks before they sink delivery.
How a simple ‘paper signal lantern’ on your desk can turn vague incident stories into early‑warning signals for reliability problems—before they become outages.
How low-tech, paper-based “incident story maps” can uncover hidden dependencies, reveal blind spots, and turn outages into a reusable navigation map for future incident response.
Why near misses are your most valuable reliability data, why dashboards keep ignoring them, and how generative AI can help surface the hidden stories inside your systems before they turn into outages.
How simple paper mazes can transform your incident response practice—revealing hidden dependencies, brittle assumptions, and real-world failure paths long before a crisis hits.
How a simple rack of index-card “postcards” can turn reliability failures into engaging stories, daily learning rituals, and compounding improvements in latency and uptime.