ApacheKafka
NATS
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ApacheKafka | NATS | |
---|---|---|
104 | 106 | |
28 | 14,720 | |
- | 2.4% | |
0.0 | 9.8 | |
5 months ago | 7 days ago | |
Go | ||
- | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.
ApacheKafka
- PubNubとIFTTTによるSMS通知システム
- PubNub 및 IFTTT를 사용한 SMS 알림 시스템
- Système de notification par SMS avec PubNub et IFTTT
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Wie man Ereignisse von PubNub zu RabbitMQ streamt
Senden an Kafka (d. h. Senden der Daten an Apache Kafka)
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Choosing Between a Streaming Database and a Stream Processing Framework in Python
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 machine's temperature exceeds a certain threshold, a streaming platform can instantly trigger an alert and engineers do timely maintenance.
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How to Use Reductstore as a Data Sink for Kafka
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.
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🦿🛴Smarcity garbage reporting automation w/ ollama
*Push data *(original source image, GPS, timestamp) in a common place (Apache Kafka,...)
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How to Build & Deploy Scalable Microservices with NodeJS, TypeScript and Docker || A Comprehesive Guide
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.
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Easy Guide to Integrating Kafka: Practical Solutions for Managing Blob Data
Apache Kafka is a distributed streaming platform to share data between applications and services in real-time.
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Go concurrency simplified. Part 4: Post office as a data pipeline
also, this knowledge applies to learning more about data engineering, as this field of software engineering relies heavily on the event-driven approach via tools like Spark, Flink, Kafka, etc.
NATS
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Implementing OTel Trace Context Propagation Through Message Brokers with Go
Several message brokers, such as NATS and database queues, are not supported by OpenTelemetry (OTel) SDKs. This article will guide you on how to use context propagation explicitly with these message queues.
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NATS: First Impressions
https://nats.io/ (Tracker removed)
> Connective Technology for Adaptive Edge & Distributed Systems
> An Introduction to NATS - The first screencast
I guess I don't need to know what it is
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Interview with Sebastian Holstein, Founder of Qaze
During our interview, we referred to NATS quite a few times! If you want to learn more about it, Sebastian suggests this tutorial series.
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Sequential and parallel execution of long-running shell commands
Pueue dumps the state of the queue to the disk as JSON every time the state changes, so when you have a lot of queued jobs this results in considerable disk io. I actually changed it to compress the state file via zstd which helped quite a bit but then eventually just moved on to running NATS [1] locally.
[1] https://nats.io/
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Revolutionizing Real-Time Alerts with AI, NATs and Streamlit
Imagine you have an AI-powered personal alerting chat assistant that interacts using up-to-date data. Whether it's a big move in the stock market that affects your investments, any significant change on your shared SharePoint documents, or discounts on Amazon you were waiting for, the application is designed to keep you informed and alert you about any significant changes based on the criteria you set in advance using your natural language. In this post, we will learn how to build a full-stack event-driven weather alert chat application in Python using pretty cool tools: Streamlit, NATS, and OpenAI. The app can collect real-time weather information, understand your criteria for alerts using AI, and deliver these alerts to the user interface.
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New scalable, fault-tolerant, and efficient open-source MQTT broker
Why wasn't NATS[1] used ?
Written in Go, single-binary deployment... there's a lot to love about NATS !
[1]https://nats.io/
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Scripting with NATS.io support
require nats.io
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Introducing “Database Performance at Scale”: A Free, Open Source Book
About cost, see [1]. Also, S3 prices have been increasing and there's been a bunch of alternative offers for object store from other companies. I think people in here (HN) comment often about increasing costs of AWS offerings.
Distributed systems and consensus are inherently hard problem, but there are a lot of implementations that you can study (like Etcd that you mention, or NATS [2], which I've been playing with and looks super cool so far :-p) if you want to understand the internals, on top of many books and papers released.
Again, I never said it was "easy" to build distributed systems, I just don't think there's any esoteric knowledge to what S3 provides.
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1: https://en.wikipedia.org/wiki/Economies_of_scale
2: https://nats.io/
- NATS: Connective Technology for Adaptive Edge and Distributed Systems
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Is it an antipattern to use the response channel as identifier
I am in a project were nats.io is used. Someone thought, it would be a great idea to link data in an event with data in a response using the response channel name.
What are some alternatives?
dramatiq - A fast and reliable background task processing library for Python 3.
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
outbox-inbox-patterns - Repository to support the article "Building a Knowledge Base Service With Neo4j, Kafka, and the Outbox Pattern"
celery - Distributed Task Queue (development branch)
Jenkins - Jenkins automation server
redpanda - Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!
ZeroMQ - ZeroMQ core engine in C++, implements ZMTP/3.1
istio - Connect, secure, control, and observe services.
Apache ActiveMQ - Mirror of Apache ActiveMQ
Grafana - The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.
nsq - A realtime distributed messaging platform