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Performance Reliability Databases GitHub Grab Clear all

01Grab · architecture
App stability at scale with a layered defense
To maintain app stability amidst rapid weekly releases and AI-generated code, Grab uses a layered defense strategy covering prevention, release gates, and incident response. This pipeline includes static analysis via custom lint rules, multiple tiers of automated and manual testing, a pre-production early access build, staged rollouts, and feature flags with instant kill switches. As a result, critical defects are caught early in the development lifecycle before reaching the wider production user base.
DEPTH ■■■■■16 min read4 days ago
Mobile Reliability
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02GitHub · migration
Improving site performance by shipping more CSS
GitHub faced performance degradation on server-side rendering and initial page loads due to scaling issues with its CSS-in-JS solution. The engineering team executed a multi-year migration to CSS Modules and eliminated dynamic styling props using incremental rollouts, wrapper components, and automation tools. This resulted in significant performance gains, including 55% faster server-side rendering and the complete removal of styled-components.
DEPTH ■■■■■8 min read4 weeks ago
Frontend Performance
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03Grab · architecture
Data Mesh at Grab (Part III): Operationalizing data reliability with automated DPIs
Grab addressed runtime data reliability issues in its data mesh by implementing automated Data Production Issues (DPIs). The system uses an incident orchestrator to detect contract breaches, a Data Health API for cross-platform root cause analysis, and Hugo for automated remediation. This approach resolved 86.9 percent of incidents automatically and made mean time to resolve six times faster.
DEPTH ■■■■■12 min read8 weeks ago
Databases Observability
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