demo-scene
ApacheKafka
Our great sponsors
demo-scene | ApacheKafka | |
---|---|---|
24 | 104 | |
1,454 | 28 | |
1.2% | - | |
5.7 | 0.0 | |
7 days ago | 5 months ago | |
Shell | ||
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.
demo-scene
-
Confused and frustrated about Kafka
Here’s a great place to dig into things: https://developer.confluent.io
-
Getting Started as a Kafka Developer
Once you’ve decided on a language to focus on, it’s time to start filling those knowledge gaps. Don’t be discouraged by this step. We all have knowledge gaps, and filling them can be very rewarding. First, you’ll want to make sure you have a good understanding of Kafka basics. Fortunately, there are many resources to help you with this. A web search will turn up many great books and other resources. And, of course, Confluent Developer offers interactive courses ranging from introductory (Apache Kafka 101) to advanced (Kafka Internals), full documentation, and other content to help you get started.
- Any suggestions for writing a long thesis about Kafka's scalability, availability and fault-tolerance?
-
What Are Apache Kafka Consumer Group IDs?
Confluent Developer: Learn Apache Kafka through Confluent Developer tutorials, documentation, courses, blog posts, and examples.
-
Problems with the set-up
Spend some time on https://developer.confluent.io , especially https://developer.confluent.io/get-started/java/ and look at https://github.com/confluentinc/examples . Those will give really practical examples for how to set up your configs and start consuming
-
Looking For Suggestions on The Definitive Guide (V2)
FWIW you'll find a bunch of promo codes over at developer.confluent.io
-
Kafka to fetch data from another microservices
Kafka streams is a Java library built on the producer/consumer APIs designed to create event-driven microservices on top of Kafka. In general, I recommend exploring https://developer.confluent.io to learn more
-
Creating topics and console consumers using a dockerized Kafka cluster?
For example: https://github.com/confluentinc/demo-scene/tree/master/kafka-connect-zero-to-hero
-
A few starter questions: What is a good setup for learning? Is Confluent platform ok?
should I be reading a different material for a first Kafka project and working with a different kind of setup? Now, I can't be unbiased on this one ;) One of the things we're doing with Confluent Developer is to try and create a resource for people to learn Kafka from the ground up, whether they ultimately decide to pursue it on Confluent or not. The fundamentals of Kafka that you'll be learning are going to be as applicable whether you're using Apache Kafka self-managed, or Confluent, or AWS' MSK, or whatever else. Personally I'd this stage I'd use whatever setup you find easiest and least friction to your learning journey. As u/louisvell mentioned, /u/stephanemaarek's courses on Udemy are also very popular, if you wanted a "second opinion" on how to approach learning Kafka.
-
Kafka Learning Path
https://developer.confluent.io they’ve thought about this question very deeply
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
-
Wie man Ereignisse von PubNub zu RabbitMQ streamt
Senden an Kafka (d. h. Senden der Daten an Apache Kafka)
-
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.
-
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.
-
🦿🛴Smarcity garbage reporting automation w/ ollama
*Push data *(original source image, GPS, timestamp) in a common place (Apache Kafka,...)
-
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.
-
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.
-
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.
What are some alternatives?
docker-kafka-kraft - Apache Kafka Docker image using Kafka Raft metadata mode (KRaft). https://hub.docker.com/r/moeenz/docker-kafka-kraft
dramatiq - A fast and reliable background task processing library for Python 3.
cp-all-in-one - docker-compose.yml files for cp-all-in-one , cp-all-in-one-community, cp-all-in-one-cloud, Apache Kafka Confluent Platform
outbox-inbox-patterns - Repository to support the article "Building a Knowledge Base Service With Neo4j, Kafka, and the Outbox Pattern"
examples - Apache Kafka and Confluent Platform examples and demos
Jenkins - Jenkins automation server
kafka-lag-exporter - Monitor Kafka Consumer Group Latency with Kafka Lag Exporter
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
protoactor-go - Proto Actor - Ultra fast distributed actors for Go, C# and Java/Kotlin
istio - Connect, secure, control, and observe services.
kafka-connect-opensky - Kafka Source Connector reading in from the OpenSky API
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.