
vert.x
Micronaut Framework
Javalin
helidon
Spark Framework
Netty
Akka
Apache Tomcat
Resque
Sidekiq
delayed_job
Hangfire
RabbitMQ
Beanstalkd
IronWorker
Redis
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Based on our record, vert.x should be more popular than Resque. It has been mentiond 31 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.
Vert.x is the layer where Floci uses things directly. It's Netty with ergonomics: an event loop, a router, protocol-specific APIs for HTTP, DNS, TCP, WebSockets, gRPC, all sharing the same threading model. - Source: dev.to / 4 months ago
Traditionally, JDBC interfaces are all synchronous, so JdbcTemplate and HibernateTemplate are also synchronous. But as asynchronous high-concurrency programming spreads, reactive programming has entered mainstream frameworks. Spring now proposes the R2DBC standard, and the vertx framework includes asynchronous connectors for MySQL, PostgreSQL, etc. On the other hand, if an ORM engine acts as a data fusion access... - Source: dev.to / 10 months ago
The sixth release candidate of Eclipse Vert.x 5.0.0 provides support for the Java Platform Module System and a new VerticleBase class. Further details are available in the release notes. - Source: dev.to / over 1 year ago
I see your point, but I still don't think you can just say "If you want to get get a job as a Go developer, you must know gRPC." Even more so for Kafka, I've only heard about it being popular in the Java world. You can't even say "If you want to get a job as a Java developer, you must know Spring." Nowadays, sane Java projects use https://vertx.io, it's just too good. I would argue that Spring is for legacy... - Source: Hacker News / over 1 year ago
Vert.x is a toolkit for developing reactive applications on the JVM. I wrote a short introductory post about it earlier, when I used it for a commercial project. I had to revisit a Vert.x-based hobby project a few weeks ago, and I learned that there were some gaps in my knowledge about how Vert.x handles failures and errors. To fill those gaps, I did some experiments, wrote a few tests, and then wrote this blog post. - Source: dev.to / almost 2 years ago
Seven gems, one problem. 37signals was running seven separate gems just to cover the edge cases Resque didn't handle natively. That became the brief for Solid Queue. - Source: dev.to / 2 months ago
Resque relies on Redis for job queue management and is known for its scalability and efficiency. - Source: dev.to / over 1 year ago
We split the staging server into two instances using Ubuntu 22.04 as the base image. The first instance is for a web server with nginx, passenger and MySQL. The second instance is for the support server and this is where we install redis, memcache, mongodb and resque. - Source: dev.to / about 2 years ago
It is hard to imagine any big and complex Rails project without background jobs processing. There are many gems for this task: **Delayed Job, Sidekiq, Resque, SuckerPunch** and more. And Active Job has arrived here to rule them all. - Source: dev.to / about 2 years ago
Rollbar is a great error-tracking service. It alerts us on exceptions and errors, provides analysis tools and dashboard, so we can see, reproduce, and fix bugs quickly when something went wrong. This service has a possibility to log not only uncaught exceptions but any messages. By default, the messages are reported synchronously, but you can enable asynchronous reporting using Sidekiq, girl_friday, or Resque.... - Source: dev.to / over 2 years ago
Micronaut Framework - Build modular easily testable microservice & serverless apps
Sidekiq - Sidekiq is a simple, efficient framework for background job processing in Ruby
Javalin - Simple REST APIs for Java and Kotlin
delayed_job - Database based asynchronous priority queue system -- Extracted from Shopify - collectiveidea/delayed_job
helidon - Helidon Project, Java libraries crafted for Microservices
Hangfire - An easy way to perform background processing in .NET and .NET Core applications.