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Reliability
62 posts about Reliability. Every summary links to the original.
Grab ·
Round-robin in Distributed Systems
Building client-side load balancing for Grab's Common Data Service prompted a move from AWS Elastic Load Balancers to DNS discovery due to persistent connection issues and unpredictable scaling events. After patching an open-source library that failed to rotate IP sequences properly, the author evaluated different Go patterns for round-robin routing. A mutex-protected array counter provides the simplest model for basic retrieval, though adding mutations requires careful lock coordination. Alternatively, a dedicated balancer goroutine receiving requests over nested channels enables explicit operation timeouts and centralized event handling at the cost of higher code complexity and channel creation overhead. The author recommends the mutex approach for resource fetching and the goroutine-based design for workload balancing.
Gao ChaoGrab ·
Grab You Some Post-Mortem Reports
Grab uses a Service-Oriented Architecture to deploy features quickly, but unfamiliarity across teams makes cross-service production debugging difficult. Historical incident reports lacked context, diagnostic details, impact data, and timelines, leaving outside engineers unable to learn from past outages. To address this, Grab established a four-pillar framework for post-mortem reports covering chronology, context, empowerment, and solutions. The approach mandates blameless, educational write-ups that categorize post-incident improvements across people, product, and process dimensions. Final reports undergo peer reviews by engineers from external teams to ensure clarity and remove bias.
Lian Yuanlin