Tweet Teratas untuk #MessageQueue
RabbitMQ Priority Routing
All txns arenโt equal.
Setting up dedicated RabbitMQ priority lanes (fast, std, slow) routed through an exchange with DLQ fallback guarantees payment flows never starve behind background tasks.๐
#rabbitmq #messagequeue #architecture #devcommunity

Why glide-mq is fast by design ๐งต
Streams-first: Redis Streams + consumer groups instead of Lists โ built-in at-least-once delivery, fewer moving parts.
#NodeJS #Redis #Valkey #MessageQueue
Check out this guide on #EMQX #MessageQueue for persistent & reliable #MQTT delivery!
Learn how to:
โ๏ธ Create queues
๐จ Deliver messages persistently
๐ Use Last-Value Semantics
Try it now: https://t.co/oJQN6YopO6
#IoT

#MQTT finally gets durability.
With #EMQX 6.0, pub/sub and queuing are unified in one broker.
Simpler architecture. Lower latency. Guaranteed delivery.
Learn how it works ๐ https://t.co/iZa65C3qHZ
#IoT #MessageQueue #MQ

๐ Meet LavinMQ - the ultra quick message queue and streaming server built with Crystal! Experience lightning-fast communication for your applications with ease. Check it out here: https://t.co/V8EapADmMq #LavinMQ #OpenSource #MessageQueue #CrystalLang #DevCommunity
Building a Robust Message Queue System with #Kafka and GoFrame #golang #dormosheio #tutorial #messagequeue https://t.co/72E0JJI9hS
@apacdao Here's the #workshop!
๐โโ๏ธ Go from 0 experience building on blockchains to:
โ
Use a pub-sub #messagequeue on HCS in ~5min
โ
Create a #token on HTS in ~5min
โ
Deploy & interact with an #EVM #smartcontract in ~10min
๐ Missed it? Here's a recording:https://t.co/zdC6aSeFAo
ๅๅพ็ซฏๅทฅ็จๅธซๅคช็ดฏไบๅ...
#็จๅผ่ช่จ
#WebFramework
#HTTPServer
#้่ฏๅผ่ณๆๅบซ
#NoSQL
#MessageQueue
#Docker
#K8s
#้ฒ็ซฏไธๅ ๆๅ
#OnCall
#้่ฆๆไธ้ปๅ็ซฏ
#ๅคช็ดฏไบไธๅไบ
"#ApacheKafka vs. #MessageBroker (JMS, IBM MQ, TIBCO, Solace)" - Video Recording
=> The apple vs. orange comparison of #messagequeue vs. #datastreaming comes up every day in my conversations with customers:
https://t.co/DpkcrtqirN
What message queues system is usually the first to come to your mind?
#bolhadev #messagequeue #kafka #redis #rabbitmq #sqs #pubsub cc @sseraphini
โ๏ธ4/12
๐๐ฎ๐ญ๐๐จ๐ฎ๐ง๐๐๐ฎ๐๐ฎ๐
Esta pallet es responsable de aceptar mensajes XCM salientes a
Ethereum ๐ค:
1. Almacenar en bรบfer el mensaje en la pallet #MessageQueue hasta que haya suficiente peso libre en un bloque futuro para poder procesarlo ๐ฅ
"Choosing the right message queue is crucial for system efficiency. Dive into the factors to consider and explore various options in this insightful blog post by keploy. #MessageQueue #SystemEfficiency #TechSolutions" https://t.co/mwR5Fiux6I
TYPO3 v12 supports symfony/messenger. If the built-in message transport options reach their limits, an external message queue like RabbitMQ provides more flexibility and scalability. Here is how to set up RabbitMQ for TYPO3: https://t.co/vxpPqZLI9A
#typo3 #rabbitmq #messagequeue
Building something cool using Docker, sockets, and a message queue!
Stay tuned!!!
Okay bye ๐
#tech #docker #sockets #messagequeue #dev #socket #buildinpublic
"#Kafka #Transactions: Exactly-Once Messaging"
=> Transactional workloads are possible with #ApacheKafka. However, it differs from an XA transaction in a #database like Oracle or #messagequeue like IBM MQ. Otherwise, it would not scale.
https://t.co/dhvFdqo7yx
#opensource

Learnt about how scalable chat systems work and the concept of #messagequeue using @Redisinc and @RabbitMQ .
Implemented them in https://t.co/WpNsCT83Q3
Until now, I had been using Web Sockets but the power WebRTC is immeasurable. I also have a README if someone want to learn.
"#ApacheKafka vs. #MessageBroker (JMS, IBM MQ, TIBCO, Solace)" - Video Recording
The apple vs. orange comparison of #messagequeue vs. #datastreaming comes up every day in my meetings.
For that reason, I recorded my presentation as video for learning:
https://t.co/DpkcrtpKCf

Message queues are indispensable for building robust large-scale systems
Decoupling
- Message queues decouple senders and receivers by enabling asynchronous communication through a queued buffer.
- Senders simply dispatch messages to the queue without waiting for a response from receivers. This prevents senders from being blocked while waiting for receivers to process messages.
- Senders and receivers are not tightly coupled through direct synchronous calls. This prevents them from blocking each other while exchanging messages.
- Decoupling allows senders and receivers to scale independently as traffic grows. It also prevents bottlenecks during spikes in traffic.
Fault Tolerance
- Message queues provide fault tolerance by buffering messages even in the event of a receiver failure.
- The messages remain safely in the queue until the failed component recovers.
- This prevents message loss and allows smooth recovery from failures.
Scalability
- Multiple receivers can process queued messages in parallel, increasing throughput.
- Additional receivers can be added to handle more load, dynamically scaling to demand.
- This makes the overall system easily scalable to handle increasing traffic.
Message queues are indispensable for building systems ready for the scale and unreliable conditions of the real world.
Have you ever seen an epic system crash that message queues could have saved? Tell us your war stories!
โ
Subscribe to our weekly newsletter to get a Free System Design PDF (158 pages): https://t.co/kNfv0DVDdf

Three months ago, our team published #BlazingMQ ๐ฅ, a scalable #opensource #messagequeue system. Today, we've released its official #Python ๐ SDK, as well as examples of how applications can interact with BlazingMQ.
https://t.co/fGbKgRu7rD

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