Based on our record, Sentry.io should be more popular than NSQ. It has been mentiond 54 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Lazar guides you through all the low-effort image optimization tips you need to make sure your personal website stays in good shape, with some bonus advice on how you can monitor your website performance using Sentry in terms of image resources. - Source: dev.to / 30 days ago
Sentry stands as a robust open-source tool for keeping an eye on errors in real-time and digging into issues across a range of programming languages. It's a robust platform that gathers errors and adds essential context to the stack traces, enabling developers to effectively prioritize and solve critical business issues. - Source: dev.to / 5 months ago
And on the server side, closer to services like DataDog, I think it's fair to say that Sentry has had a significant impact. Source: 6 months ago
We are going to have a hands-on example of implementing an error track inside a NestJS project, we are going to use Sentry as a tool to help us see and be ahead of the problem before they are properly reported by the users. Application Performance Monitoring & Error Tracking Software. - Source: dev.to / 7 months ago
Create an account on Sentry and create a project for Django. You can follow the steps on Sentry documentation for Django to get your dsn link and update the SENTRY_DSN variable. Enter the value without quotes here. SENTRY_DSN=https://examplePublicKey@o0.ingest.sentry.io/0. - Source: dev.to / 7 months ago
(G)NATS can do millions of messages per second and is the right tool for the job (either that or NSQ). Redis isn't even the fastest Redis protocol implementation, KeyDB significantly outperforms it. Source: over 1 year ago
Bit.ly's NSQ is also an excellent message queue option. Source: over 1 year ago
Queue consumers are interesting because there are many solutions for them, from using Redis and persisting the data in a data store - but for fast and scalable the approach I would take is something like SQS (as I advocate AWS even free tier) or NSQ for managing your own distributed producers and consumers. Source: over 1 year ago
Distrubition server engine ( for example websocket server multi ws gateway and worker pool,nsq.io realtime message queue and so on). Source: almost 2 years ago
NSQ is a message queue implemented by Golang, and all messages are routed through NSQ. Reasons for choosing NSQ compared to other MQs: decentralized distribution (direct connection between production and consumption), low latency, No ordering, high performance, simple binary protocol. - Source: dev.to / about 2 years ago
Datadog - See metrics from all of your apps, tools & services in one place with Datadog's cloud monitoring as a service solution. Try it for free.
RabbitMQ - RabbitMQ is an open source message broker software.
Rollbar - Rollbar collects errors that happen in your application, notifies you, and analyzes them so you can debug and fix them. Ruby, Python, PHP, Node.js, JavaScript, and Flash libraries available.
ZeroMQ - ZeroMQ is a high-performance asynchronous messaging library.
Raygun - Raygun gives developers meaningful insights into problems affecting their applications. Discover issues - Understand the problem - Fix things faster.
nanomsg - nanomsg is a socket library that provides several common communication patterns.