How SafetyCulture Uses JSON
9 engineering articles about JSON from SafetyCulture's engineering team
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This article details SafetyCulture's comprehensive approach to secure string input validation in microservices, covering the four essential steps: decode, normalize/canonicalize, sanitize, and vali...
This article discusses the adoption of the Temporal workflow engine by SafetyCulture to enhance the resilience and efficiency of microservice workflows.
Dixon Deng
12 min read
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The article discusses the implementation of custom ESLint tooling at scale, focusing on how SafetyCulture has leveraged ESLint to enforce coding standards and improve code quality.
Cheng Gibson
13 min read
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The article discusses SafetyCulture's localization initiative aimed at enhancing the iAuditor platform for better user experience across different languages and regions.
This article focuses on optimizing memory usage in Go applications, specifically through the analysis of a real-world application at SafetyCulture.
The article discusses the transition from Node. js to Go within SafetyCulture's microservice architecture deployed on Kubernetes. It highlights the challenges faced with Node.
Roger Chapman
2 min read
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The article discusses how to proxy gRPC-Web directly in a Go server without using Envoy, focusing on a simple setup for development.
This article discusses how to handle GraphQL query batching in Golang, emphasizing the efficiency of data delivery by reducing resource consumption for multiple queries.
The article discusses the transition of SafetyCulture's GraphQL server from Node. js to Golang, highlighting the challenges faced with Node. js and the benefits realized after the migration.
Roger Chapman
4 min read
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