nsq
gq
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| nsq | gq | |
|---|---|---|
| 14 | 6 | |
| 24,530 | 26 | |
| 0.5% | - | |
| 6.3 | 0.0 | |
| 1 day ago | about 3 years ago | |
| Go | Go | |
| MIT License | GNU General Public License v3.0 only |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
nsq
- NSQ: Open-source realtime distributed messaging, billions of messages / day
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MQTT vs. Kafka: An IoT Advocate's Perspective
Interesting. What are you thoughts on NSQ?
Was looking at it earlier today, but haven't ever tried it out.
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Any thoughts on using Redis to extend Go's channels across application / machine boundaries?
(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.
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FileWave: Why we moved from ZeroMQ to NATS
Bit.ly's NSQ is also an excellent message queue option.
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Infinite loop pattern to poll for a queue in a REST server app
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.
- NSQ – A realtime distributed messaging platform
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What are pros and cons of Go?
distrubition server engine ( for example websocket server multi ws gateway and worker pool,nsq.io realtime message queue and so on)
- Nsq - A realtime distributed messaging platform
- Is there any conventionally accepted repo that is representative of well designed go code ?
- NSQ: A realtime distributed messaging platform
gq
- Python/Django to Golang questions
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For those running Go in production at scale, what do you use for distributed task queues?
If you want something simple https://github.com/mattbonnell/gq
- gq: add a scalable multi-consumer, multi-producer message queue to your SQL-backed service without any additional infrastructure
- gq: add a scalable multi-consumer, multi producer message queue to your SQL-backed service without any extra infrastructure
- gq: add a scalable multi-consumer, multi-producer message queue to your SQL-backed application without any extra infrastructure
- gq: add a scalable message queue to your SQL-backed application without any extra infrastructure
What are some alternatives?
NATS - Golang client for NATS, the cloud native messaging system.
machinery - Machinery is an asynchronous task queue/job queue based on distributed message passing.
NATS - High-Performance server for NATS.io, the cloud and edge native messaging system.
docker-compose - Temporal docker-compose files
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
temporal - Temporal service
Apache Kafka - Mirror of Apache Kafka
cadence - Cadence is a distributed, scalable, durable, and highly available orchestration engine to execute asynchronous long-running business logic in a scalable and resilient way.
ZeroMQ - ZeroMQ core engine in C++, implements ZMTP/3.1
yq - Command-line YAML, XML, TOML processor - jq wrapper for YAML/XML/TOML documents
etcd - Distributed reliable key-value store for the most critical data of a distributed system
rabbit-hole - RabbitMQ HTTP API client in Go