Question 1

How do I use Logdy with Docker logs?

Accepted Answer

Pipe Docker container logs to Logdy using `docker logs -f container_name | logdy`, then access the web UI at localhost:8080 for real-time monitoring and filtering. This leverages stdin input mode as described in the CLI usage.

Question 2

Can I share a Logdy session with my team?

Accepted Answer

Not easily; Logdy runs locally by default, so you'd need to expose it over a network manually, but it lacks built-in collaboration features like user management or persistent sessions. The README emphasizes local operation for security.

Question 3

Logdy vs. tail -f and grep: which is better for log monitoring?

Accepted Answer

Logdy adds a web UI with real-time filtering and custom parsers, making it superior for visual analysis, while tail -f and grep are better for quick terminal checks or scripting. Logdy's strength is interactive debugging without leaving the browser.

Question 4

How to create a custom parser for JSON logs in Logdy?

Accepted Answer

Use the integrated code editor in the Web UI to write TypeScript parsers that parse JSON strings into columns. The README highlights TypeScript support and custom parsers for this flexibility.

Question 5

Does Logdy work with Kubernetes logs?

Accepted Answer

Yes, by piping kubectl logs to Logdy, e.g., `kubectl logs -f pod_name | logdy`. However, it doesn't natively integrate with Kubernetes APIs, so you'll need to handle log streaming manually.

Question 6

How to secure Logdy with authentication?

Accepted Answer

Use the --ui-pass flag to set a password for basic HTTP auth, but note it's simple and lacks encryption or advanced security. The CLI usage section mentions this flag for UI protection.

Question 7

Logdy or ELK stack for a small project?

Accepted Answer

Logdy is simpler for local, real-time viewing with zero setup, while ELK offers scalable storage and analytics but requires more infrastructure. Choose Logdy for quick debugging and ELK for long-term, distributed log management.

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