PinnedPublished inLevel Up CodingHow I Scaled a Go Backend to Handle 1 Million Requests per SecondFrom 100 Requests to 1 Million: My Journey in Scaling a Go BackendMar 1916Mar 1916
How I Efficiently Handled Streaming Data in Go for High-Performance ApplicationsGo Streaming Data: Achieving Efficient, Low-Latency Performance for Real-Time Applications2d ago2d ago
How I Achieved High-Speed Data Serialization in Go: JSON vs. ProtobufHigh-Performance Data Serialization in Go: JSON vs. Protobuf for Better EfficiencyApr 18Apr 18
How I Parsed and Transformed Large Datasets in Go for Maximum SpeedFrom Slow to Fast: How I Optimized Data Parsing and Transformation in Go for Big DataApr 16Apr 16
Published inLevel Up CodingHow I Built Safe and Injection-Free Database Queries in GoSafe SQL Query Patterns in Go: Protecting Against Injection VulnerabilitiesApr 15Apr 15
How I Safely Handled User Input in Go: Lessons Learned from Real ProjectsFrom Vulnerable to Secure: How I Transformed User Input Handling in GoApr 151Apr 151
How I Implemented Data Security in a Go Backend: Lessons from ProductionFrom Insecure to Production-Ready: How I Secured a Go Backend the Right WayApr 142Apr 142
Best Practices for Structuring Your Go Projects for Long-Term MaintainabilityHow I Organized My Go Codebase for Scalability and Maintainability Over TimeApr 122Apr 122
Published inLevel Up CodingHow to Achieve Low CPU Usage in Go Applications: Tips for High-Performance ServicesReducing CPU Bottlenecks in Go: Techniques for Building High-Performance, Resource-Efficient ServicesApr 111Apr 111
How I Build Resilient and Scalable Go Microservices with ConcurrencyIn the world of modern software development, microservices have become the go-to architecture for building scalable, maintainable…Apr 92Apr 92
