Question 1

How do I set up slog to output JSON logs in Rust?

Accepted Answer

Use the slog-json crate to serialize logs to JSON format. Configure a logger with slog-json as the drain, and it will output structured JSON logs, ideal for log aggregation systems like ELK stacks.

Question 2

Is slog better than the standard log crate for async applications?

Accepted Answer

slog offers asynchronous logging via slog-async for non-blocking I/O, making it suitable for high-performance async apps. However, tracing might provide better native async debugging support, so consider your specific needs.

Question 3

What are the performance differences between slog and tracing?

Accepted Answer

slog is known for very good performance, but the README notes no direct comparison with tracing. Both are optimized, but slog's maturity might offer stable performance, while tracing benefits from newer optimizations in async contexts.

Question 4

Can I use slog with tokio or other async runtimes?

Accepted Answer

Yes, slog integrates with async runtimes via slog-async for non-blocking logging. However, for deep async introspection, tracing is often recommended due to its built-in async support.

Question 5

slog vs tracing: which one should I choose?

Accepted Answer

Choose slog if you value stability, mature code, and don't need advanced async debugging. Opt for tracing if you're heavily invested in async Rust and want a larger, more active ecosystem with better tooling.

Question 6

How can I add custom log filters or levels in slog?

Accepted Answer

slog's extensible architecture allows custom drains and filters. Implement your own drain or use existing crates to define custom log levels and filtering logic based on key-value pairs.

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