kcat
ApacheKafka
kcat | ApacheKafka | |
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18 | 104 | |
5,283 | 28 | |
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0.0 | 0.0 | |
5 months ago | 6 months ago | |
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GNU General Public License v3.0 or later | - |
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kcat
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JR, quality Random Data from the Command line, part I
So, is JR yet another faking library written in Go? Yes and no. JR indeed implements most of the APIs in fakerjs and Go fake it, but it's also able to stream data directly to stdout, Kafka, Redis and more (Elastic and MongoDB coming). JR can talk directly to Confluent Schema Registry, manage json-schema and Avro schemas, easily maintain coherence and referential integrity. If you need more than what is OOTB in JR, you can also easily pipe your data streams to other cli tools like kcat thanks to its flexibility.
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Deploy Apache Kafka® on Kubernetes
This deployment creates a kcat container we can use to produce and consume messages.
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How to Build a Kafka Producer in Rust with Partitioning
Now we don't see any additional output. To verify it worked, let's use kafkacat to consume the topic's events. (We install kafkacat in the Dev Container. Please run the following command in VSCode's terminal)
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Apache Kafka: A Quickstart Guide for Developers
Before we come to an end here, let's explore one additional helpful tool: kcat (formerly known as kafkacat).
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AdTech using SingleStoreDB, Kafka and Metabase
Let's look at the data in the ad_events topic from the Kafka broker and see if we can identify the problem. We'll install kcat (formerly kafkacat):
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Getting Started as a Kafka Developer
kcat (formerly KafkaCat) - https://github.com/edenhill/kcat
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Your Experience Learning and Implementing Kafka
Start with multiple consumers and produce events (this gives a sense about consistency or need for reliable data) - Producer could be command line or kafkacat
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Running Apache Kafka on Containers
kcat is an awesome tool to make our life easier, it allows us to read and write from kafka topics without tons of scripts and in a more user-friendly way.
- Unreadable data/log files created by Kafka Producer
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⌨️ Pipe xlsx files into/from Kafka... From cli with (k)cat 🙀
kcat
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.
What are some alternatives?
kafka-python - Python client for Apache Kafka
dramatiq - A fast and reliable background task processing library for Python 3.
rskafka - A minimal Rust client for Apache Kafka
outbox-inbox-patterns - Repository to support the article "Building a Knowledge Base Service With Neo4j, Kafka, and the Outbox Pattern"
librdkafka - The Apache Kafka C/C++ library
Jenkins - Jenkins automation server
console - Redpanda Console is a developer-friendly UI for managing your Kafka/Redpanda workloads. Console gives you a simple, interactive approach for gaining visibility into your topics, masking data, managing consumer groups, and exploring real-time data with time-travel debugging.
RabbitMQ - Open source RabbitMQ: core server and tier 1 (built-in) plugins
templates - Repository for Dev Container Templates that are managed by Dev Container spec maintainers. See https://github.com/devcontainers/template-starter to create your own!
istio - Connect, secure, control, and observe services.
jr - JR: streaming quality random data from the command line
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.