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  • 🍔🧠 How Grab's Rust Migration Cut Server Costs By 70%

🍔🧠 How Grab's Rust Migration Cut Server Costs By 70%

PLUS: Claude Code Goldmine 🐐, Load Balancing Crash Course 👨‍🎓, Work-Life Balance Slows Careers ⚖️

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📚 Software Engineering Articles

🗞️ Tech and AI Trends

👨🏻‍💻 Coding Tip

  • Go's select statement with timeout channels ensures robust concurrent operations

Time-to-digest: 5 minutes

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Grab's Integrity Data Platform team took on the challenge of rewriting a high-traffic Go microservice in Rust. The service, processing tens of thousands of QPS, was chosen for its simple functionality yet significant infrastructure footprint. The results? A 70% reduction in infrastructure costs while maintaining similar performance levels.

The challenge: Rewrite a production-grade Go service in Rust while maintaining performance, dealing with async complexities, and ensuring the team could effectively maintain the codebase despite Rust's steep learning curve.

Implementation highlights:

  1. Strategic service selection: Chose Counter Service for its simple functionality but high impact potential

  2. Fresh perspective approach: Rebuilt from scratch rather than line-by-line translation to ensure idiomatic Rust

  3. Ecosystem validation: Carefully evaluated OSS library support and created custom solutions where needed

  4. Async optimization: Addressed performance bottlenecks by properly handling blocking vs non-blocking operations

  5. Parser development: Built custom config parser using nom to replace Go-specific internal libraries

Results and learnings:

  • Resource efficiency: 80% reduction in compute resources (from 20 cores to 4.5 cores for same QPS)

  • Similar latency: P99 latency remained comparable to the Go version

  • Enhanced reliability: Eliminated common Go-related bugs through Rust's strict compile-time checks

The rewrite proves that Rust can deliver significant infrastructure savings without sacrificing performance. While async Rust has its learning curves, the investment pays off in both resource efficiency and code reliability.

Remember: just because your service is written in Go doesn't mean it can't use a little Rust-ic charm! 🦀

ESSENTIAL (AI’s “helping” hand)
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ESSENTIAL (keep it simple, silly)
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GITHUB REPO (claude’s cheat sheet)
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ARTICLE (React’s marathon)
The world's longest React hooks migration

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Brief: Apple's long-rumored foldable iPhone may launch with two screen size options, potentially competing with Samsung's Galaxy Z Fold and Flip series.

Brief: OpenAI confirms GPT-5 is set for an August 2025 release, with enhanced coding, reasoning, and API-accessible mini-versions, as the U.S. accelerates efforts to outpace China in AI dominance.

This week’s coding challenge:

This week’s tip:

Use Go's select statement with default case and timeout channels for graceful concurrent operation handling. This pattern combines multiple channel operations with fallback behavior and time limits, essential for robust concurrent systems.

Wen?

  • Microservice communication: Handle API timeouts and cancellations gracefully in distributed systems.

  • Resource management: Implement clean shutdown procedures with timeout fallbacks.

  • Concurrent data processing: Manage multiple data streams with timeout and cancellation support.

“The joy of life comes from our encounters with new experiences.”
Christopher McCandless

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