{"repo":"N0T-A-NUMB3R/MassLens","free":true,"listed":false,"github":"https://github.com/N0T-A-NUMB3R/MassLens","clone":"git clone https://github.com/N0T-A-NUMB3R/MassLens.git","description":"MassLens is an embedded real-time monitoring dashboard for MassTransit v8 applications. If your app exchanges messages through a broker like RabbitMQ, it gives you a live view of everything flowing through your queues: throughput, latency, faults, saga state transitions, and the full message chain—all in one place!","language":"C#","stars":12,"topics":["azure","masstransit-observer","rabbit","servicebus-queue","rabbitmq","saga-pattern","topology","sqs-queue","dashboard","masstransit"],"license":null,"category":"dashboards-admin","readme_excerpt":"MassLens The missing dashboard for MassTransit. Zero dependencies. A few lines of code. Full visibility. MassTransit is a beast, but flying it in production can feel like navigating a dark room with a broken toe. We have logs and Prometheus, but where’s that \"Hangfire-style\" dashboard when you need a quick sanity check? I know, I know—MassTransit v9 is bringing an official dashboard to the party soon. But I couldn't wait, and I wanted something that felt like a \"drop-in\" utility for my existing v8 projects. So, I built MassLens: an embedded, real-time monitoring dashboard that lives right inside your application. MassLens ships as a single NuGet package with no external dependencies. No need to spin up a database or configure a sidecar just to see your own data. It hooks into your pipeline and serves a sleek UI directly from your application. Whether you're using RabbitMQ, Azure Service Bus, or Amazon SQS, MassLens gives you a front-row seat to throughput, latency, faults, and the full message chain. (Tested extensively with RabbitMQ!). --- Quick Start Open http://localhost:5000/masslens — that's it. --- What You Get Tab Features --- --- Overview Throughput live, consumed/published/sent counters, latency P50/P95/P99, consumer inventory with health scores, throughput predictor Saga Flow Visual state machine diagram with live instance counts per state, drill-down by CorrelationId, saga export (JSON/CSV) Timeline Flame graph per CorrelationId, retry waterfall with timing, messag","default_branch":null,"files":null,"tree":[],"storefront":"/r/N0T-A-NUMB3R","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/N0T-A-NUMB3R/MassLens/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}