Engineering

Building Resilient Systems

A 13-module learning plan for tech leads and staff engineers — from distributed systems failure modes through spatial and temporal isolation patterns, graceful degradation, fail-safe design (with train, aviation, and nuclear cases), high-reliability organizations, resilience engineering and Safety-II, chaos engineering, incident response, change safety, on-call cognitive load, and a capstone on resilience tradeoffs and judgment.

13 modules

Resilience as a Lens

From fault tolerance checklists to adaptive capacity — why the way you frame failure changes everything you build

Distributed Systems Failure Modes

From binary crashes to gray zones: the taxonomy of failures that actually happen in production

Spatial Isolation Patterns

How to bound the blast radius of failure before it happens

Temporal Isolation and Flow Control

Circuit breakers, bulkheads, backpressure, and load shedding as a coherent system — not a menu of options

Graceful Degradation and Fallback

How intentional partial failure keeps systems useful when dependencies break

Fail-Safe Design and Cross-Domain Lessons

What nuclear engineers, train designers, and safety regulators learned the hard way — and what transfers to software.

High Reliability Organizations

How organizations operating at the edge of catastrophe routinely don't fall off — and what that looks like in software.

Adaptive Capacity and Residuality

From the four cornerstones of resilience engineering to architectures that train themselves through stressors

Chaos Engineering and Empirical Validation

From assumption to evidence: how to test resilience claims deliberately

Incident Severity, Response, and Escalation

From classification to postmortem: the full operational lifecycle of a production incident

Change Safety: Canary Deployments, Feature Flags, and Progressive Delivery

Every production change is a risk event. These are the techniques that make it a manageable one.

On-Call, Cognitive Load, and Sustainable Operations

Why the human cost of poor on-call design is an architectural problem, not a staffing one

Resilience as Judgment

Composing patterns, navigating tradeoffs, and knowing when each tool breaks down

How this plan was made

Each plan on learnings is built by a hand-crafted agentic pipeline: research agents gather primary sources, a claim reviewer verifies facts against them, and a sequencer orders modules for how people actually learn. The curation — topic selection, framing, editorial standards — is Nicolas's. The research and writing is AI-assembled.