mqueue viewer
A developer-focused tool to inspect and monitor a message queue by visualizing queued items and their status in real time.
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About This Tool
Core operation is data ingestion from a queue endpoint or a sample data set. The system computes throughput as messages per unit time, backlog as the current queue depth, and item age distribution to identify aging messages. Results are presented as structured metrics that can be exported for further analysis. It supports multiple protocols through modular adapters, enabling a single viewer to cover RabbitMQ, Kafka, Redis streams, and similar systems without vendor lock-in.
Benefits include reduced time to pinpoint delays, easier cross-team communication, and a single reference view for incident reviews. The tool emphasizes accuracy, handling partial data, and graceful degradation when a data source is temporarily unavailable. It prioritizes interoperability and privacy by exposing only metadata, not message contents.
Typical use cases are live health checks during deployments, capacity planning, and performance reviews. Unique differentiators are lightweight footprint, protocol-agnostic design, real-time updates, and straightforward export formats (CSV/JSON) for integration with existing dashboards and alerting pipelines.
How to Use
- Provide inputs: data source (endpoint or sample data) and queue_name.
- Configure protocol adapter if required.
- Run measurement to collect backlog, throughput, and age.
- Review computed metrics in the results.
- Export metrics to CSV or JSON or route to your monitoring system.
Frequently Asked Questions
Find Quick Answers
What data sources does the tool support?
Can it monitor multiple queues at once?
Does it expose message contents?
Is the tool real-time?
Need to run multiple calculations?
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