Based on our record, Apache Kafka should be more popular than Supervisor. It has been mentiond 120 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.
What I went with was having both a web server (Apache/Nginx) and PHP-FPM in the same container image, held together by Supervisor: http://supervisord.org/ In my case, the Dockerfile looks a bit like the following:- Source: Hacker News / 8 months ago# Whatever base web server image you want, Debian/Ubuntu based here.
As you can see there are several methods of running devpi server including cron, launchd (OSX service), nginx, Windows service, and supervisord. It also has a systemd service file which we can use to manage the service easily as Ubuntu uses it for primary service management. First off though we're going to need a proxy script to ensure that devpi is running in the virtual environment:. - Source: dev.to / 10 months ago
If it's a linux box you can make it a systemctl service, or you could use http://supervisord.org/. Source: 11 months ago
I used supervisord to start my server and the cloud SQL proxy within the same container. That should work for your use case too. Source: 12 months ago
I convinced (previous) $dayjob to use it. It (nix) kind of hung around in the background with the team that used haskell for awhile, but became prime time when we needed to support a range of VMs running within client infrastructure that were in reality just running various python scripts under supervisord (http://supervisord.org/). The range of client machines (redhat, centos, debian, ubuntu all of different... Source: about 1 year ago
In today’s fast-paced digital landscape, effective data management and analysis are essential for businesses aiming to stay ahead of the curve. Fortunately, modern tools like Apache Kafka and RudderStack have revolutionized the way we handle and derive insights from large datasets. In this blog post, we’ll explore our experience implementing the Kafka Sink Connector to facilitate seamless event data transfer to... - Source: dev.to / about 2 months ago
Stream-processing platforms such as Apache Kafka, Apache Pulsar, or Redpanda are specifically engineered to foster event-driven communication in a distributed system and they can be a great choice for developing loosely coupled applications. Stream processing platforms analyze data in motion, offering near-zero latency advantages. For example, consider an alert system for monitoring factory equipment. If a... - Source: dev.to / 3 months ago
Apache Kafka is a distributed streaming platform capable of handling high throughput of data, while ReductStore is a databases for unstructured data optimized for storing and querying along time. - Source: dev.to / 3 months ago
*Push data *(original source image, GPS, timestamp) in a common place (Apache Kafka,...). - Source: dev.to / 3 months ago
RabbitMQ comes with administrative tools to manage user permissions and broker security and is perfect for low latency message delivery and complex routing. In comparison, Apache Kafka architecture provides secure event streams with Transport Layer Security(TLS) and is best suited for big data use cases requiring the best throughput. - Source: dev.to / 3 months ago
systemd - systemd is a replacement for the init daemon for Linux (either System V or BSD-style).
RabbitMQ - RabbitMQ is an open source message broker software.
runit - runit is a cross-platform Unix init scheme with service supervision, a replacement for sysvinit...
Apache ActiveMQ - Apache ActiveMQ is an open source messaging and integration patterns server.
M/Monit - Monit is a free open source utility for managing and monitoring, processes, files, directories and filesystems on a UNIX system. Monit conducts automatic maintenance and repair and can execute meaningful causal actions in error situations.
StatCounter - StatCounter is a simple but powerful real-time web analytics service that helps you track, analyse and understand your visitors so you can make good decisions to become more successful online.