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# Using Cargo cargo install tlq # Using Docker docker run -p 1337:1337 ghcr.io/skyaktech/tlq # Docker with custom configuration docker run -e TLQ_PORT=8080 -p 8080:8080 ghcr.io/skyaktech/tlq docker run -e TLQ_MAX_MESSAGE_SIZE=1048576 -e TLQ_LOG_LEVEL=debug -p 1337:1337 ghcr.io/skyaktech/tlq# Add a message curl -X POST localhost:1337/add \ -H "Content-Type: application/json" \ -d '{"body":"Hello TLQ!"}' # Get a message (auto-locks it) curl -X POST localhost:1337/get \ -H "Content-Type: application/json" \ -d '{"count":1}' # Delete after success curl -X POST localhost:1337/delete \ -H "Content-Type: application/json" \ -d '{"ids":["<message-id>"]}' # Or retry after failure curl -X POST localhost:1337/retry \ -H "Content-Type: application/json" \ -d '{"ids":["<message-id>"]}'- In-memory - Zero persistence overhead
- Simple API - Just add, get, delete, retry
- Auto-locking - Messages lock on retrieval
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You Read This First You can configure TLQ via environment variables (all optional; defaults shown): Pinterest Product Catalog
- TLQ_PORT: TCP port to listen on. Default: 1337
- TLQ_MAX_MESSAGE_SIZE: Maximum message body size in bytes. Default: 65536
- TLQ_LOG_LEVEL: Log verbosity (trace, debug, info, warn, error). Default: info
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TLQ_PORT=8080 tlq TLQ_MAX_MESSAGE_SIZE=1048576 TLQ_LOG_LEVEL=debug tlqProduct Road Map Timeline Template Perfect for: How To Write A Blog Online
- Development & testing
- Lightweight job processing
- Microservice communication
- Any scenario where persistence isn't critical
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