Reliability & Incident Response

A standardized, hierarchical management structure designed to coordinate emergency response and eliminate chaos during severe outages.

The practice of investigating outages without assigning human fault, focusing instead on the systemic vulnerabilities that allowed the failure to occur.

A critical metric that measures how quickly a team can diagnose, mitigate, and resolve a production outage.

Explicit, step-by-step technical manuals designed to guide developers through mitigating specific alerts and routine operational tasks.

The discipline of experimenting on a distributed system to build confidence in its capability to withstand turbulent conditions in production.

Techniques for controlling the rate of traffic sent or received by a network interface controller to prevent resource exhaustion.

A software design pattern used to detect failures and encapsulate the logic of preventing a failure from constantly recurring, during maintenance, temporary external system failure or unexpected system difficulties.

Isolating elements of an application into pools so that if one fails, the others will continue to function, preventing total system collapse.

How to implement exponential backoff and jitter in retry logic — the technique that prevents cascading failures when a downstream service is struggling under load.

The design of external, black-box monitoring systems that verify a service is actually reachable and functioning from the perspective of a user.

A standardized scale (usually SEV-1 to SEV-4) used to instantly communicate the business impact of an outage and determine the appropriate level of response.

Designing systems to intentionally disable non-critical features during high load or partial outages to preserve core functionality.

The operational structures and human-centric schedules that ensure a system is supported 24/7 without burning out the development team.

The strategies and metrics used to restore business operations after a catastrophic event, focusing on acceptable data loss (RPO) and acceptable downtime (RTO).

The mechanisms by which a downstream system signals an upstream sender to slow down its transmission rate, preventing catastrophic resource exhaustion.