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InfluxDB
InfluxDB – Built for High-Performance Time Series Workloads. InfluxDB 3 OSS is now GA. Transform, enrich, and act on time series data directly in the database. Automate critical tasks and eliminate the need to move data externally. Download now.
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Milvus
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
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FLiPStackWeekly
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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awesome-public-real-time-datasets
A list of publicly available datasets with real-time data maintained by the team at bytewax.io
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TinyLlama
The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
automq discussion
automq reviews and mentions
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Warpstream Joined Confluent
Please checkout automq: https://github.com/AutoMQ/automq
AutoMQ is a cloud-first alternative to Kafka by decoupling durability to S3 and EBS. 10x cost-effective. Autoscale in seconds. Single-digit ms latency.
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AutoMQ: A Cloud-Native Replacement of Apache Kafka on S3
Hello, I am the author of this article, any questions are welcome about AutoMQ(https://github.com/AutoMQ/automq)
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AutoMQ: A Cloud-Native Replacement of Apache Kafka
Star AutoMQ ⭐
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Introducing AutoMQ: a cloud-native replacement of Apache Kafka
AutoMQ Repository: https://github.com/AutoMQ/automq
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Implementing Kafka to Run on S3 with a Hundred Lines of Code
References [1] AutoMQ: https://github.com/AutoMQ/automq [2] S3Stream:https://github.com/AutoMQ/automq/tree/main/s3stream [3] Direct S3 Cluster Deployment: https://docs.automq.com/automq/getting-started/deploy-direct-s3-cluster
- Understanding Kafka Producer
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Lines of Code to Implement Kafka on S3
Just like warpstream or confluent freight cluster, but AutoMQ is source available, you may find the key s3 wal implementation here: https://github.com/AutoMQ/automq/blob/main/s3stream/src/main...
- A New S3 Definition: Shared Streaming Storage
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Ask HN: Why do message queue-based architectures seem less popular now?
Regarding this issue, I have some observations of my own. I've noticed that systems based on queues, such as Kafka, AMQP, etc., are still very widespread, for example in vehicle networking, transaction systems, and so on. I recently encountered a customer deploying Kafka on AWS, with monthly consumption of Kafka-related computing storage exceeding $1 million. The cluster scale is huge, containing various system events, logs, etc. I've also seen customers building IoT platforms based on Kafka. Kafka has become very central to the IoT platform, and any problems can cause the entire IoT platform to be unavailable. I personally have written over 80% of the code for Apache RocketMQ, and today I have created a new project, AutoMQ (https://github.com/AutoMQ/automq). At the same time, we also see that competition in this field is very fierce. Redpanda, Confluent, WarpStream, StreamNative, etc., are all projects built based on the Kafka ecosystem. Therefore, the architecture based on message queues has not become obsolete. A large part of the business has transformed into a Streaming form. I think Streaming and MQ are highly related. Streaming leans more towards data flow, while MQ leans more towards individual messages.
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Industry Standard for Cloud Instance Initialization: Cloud-Init
[1] Cloud-Init: https://github.com/canonical/Cloud-Init [2] AutoMQ: https://github.com/AutoMQ/automq [3] Introduction to Cloud-Init: https://cloudinit.readthedocs.io/en/latest/explanation/introduction.html#how-does-Cloud-Init-work
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A note from our sponsor - InfluxDB
www.influxdata.com | 12 May 2025
Stats
AutoMQ/automq is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of automq is Java.