17-year internet software developer specializing in AI applications, networking, architecture, and open source. Led the delivery of network services handling hundreds of millions of concurrent devices and tens of millions of QPS, and has three years of experience designing and building an agent platform. Follow to stay updated.
This article explains how to evolve fault drills from one-off exercises into a regular engineering practice, covering risk mapping, safety boundaries, Game Day execution, metrics, scenario libraries, and integrating remediation into daily workflows for high-QPS systems.
This article details a proactive framework for mega-promotion reliability at 10M QPS, covering business red lines, full-link capacity modeling, stress testing for system boundaries, actionable degradation and isolation, decision-centric observability, executable runbooks, structured war rooms, drills, and readiness gates to replace reactive firefighting.
This article details how to evolve ad-hoc incident response into a standing war room mechanism for 10M QPS systems, covering six key roles, a full lifecycle with trigger/exit criteria, fixed 10-minute decision cadences, reversible mitigation constraints, evidence-linked tooling, and a three-phase rollout with drills and templates to build organizational muscle memory.
This article details a comprehensive framework for transforming ad-hoc incident response into a structured, repeatable process for high-concurrency systems, covering incident state machines, role definitions, severity grading, first 15-minute checklists, timeline management, automation, blameless postmortems, and evolutionary stages from visibility to organizational learning.
The article analyzes the engineering challenges of moving configuration management from single-machine files to distributed cluster control planes, covering immutable versioning, schema validation layers, canary deployment by failure domains, two-phase commit for atomic switches, rollback with side-effect mitigation, observability across control and data planes, and maturity stages of config platforms.
This article dissects why manual rollback breaks at 10M QPS and details a five-phase automatic rollback loop—context collection, health evaluation, traffic freeze, phased execution, and layered verification—emphasizing multi-signal decision rules, rollback-object dependency graphs, blast-radius control via canary, idempotent execution, and circuit-breaker governance to prevent automation-induced failures.
This article details how to evolve from basic operation logs to a complete change audit system for large-scale architectures by using unified change identifiers, identity chains, immutable evidence, and observability correlation to connect intent, authorization, execution, and impact for real-time risk control and incident reconstruction.
This article explains why canary releases become essential at 10M QPS, detailing how to define canary units by identity, failure domain, and business scenario; set absolute traffic limits; use evidence-driven state machines with four metric layers; ensure version compatibility; choose rollback, feature-flag, or forward-fix strategies; build platform capabilities; avoid common pitfalls; and make canary the default deployment path.
This article explains why anytime deployment fails at 10M QPS scale and details a comprehensive change window mechanism that controls change quantity, risk exposure rhythm, personnel availability, and recovery resources, including layered windows, admission criteria, controlled rollout phases, freeze periods with emergency lanes, automated gates, and effectiveness metrics.
This article details how to evolve resource profiling from misleading averages to fine-grained, SLO-aware capacity models that incorporate instance heterogeneity, workload fingerprints, multi-resource bottlenecks, failure domains, and online calibration to drive trustworthy scheduling, autoscaling, release gating, and degradation decisions at ten-million-QPS scale.
