Building a streaming Kafka application to push live notifications for updates to views, likes, favorites and comments on Youtube videos.
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Updated
May 5, 2024 - Python
Building a streaming Kafka application to push live notifications for updates to views, likes, favorites and comments on Youtube videos.
Stream Processing of website click data using Kafka and monitored and visualised using Prometheus and Grafana
The project's goal is to read data from sensors installed in heavy trucks and send it to Kafka. Apache Kafka is an application platform for distributed event storage and stream processing. Lastly, we are consuming data from Kafka to MongoDB
Learning Kafka Standalone and Distributed Mode
A Real Time Stream Processing pipeline created with integration of Apache Spark, Kafka, Python and NodeJS . Application aims at capturing and analyzing the stream of fiscal transactions that are coming in.
An event pipeline around Kafka ecosystem that allows us to simulate and display the status of train lines in real time for Chicago Transit Authority.
Repo for a simple base python http server using Flask and Kafka-Python
Live sentiment analysis of tweets using Kafka
Stream data between two databases . Supports both ddl and dml statements. Built on top of kafka and debezium in python
Detection of DDOS Attack using Kafka and Spark Streaming
Python prometheus client for kafka logsize(Prometheus基于kafka logsize监控)
A Kafka python library for Robotframework to test events(messages) in Kafka.
This MLOps project productionizes a Deep Reinforcement Learning agent with a scalable, distributed data streaming infrastructure using Kafka and Ray. A thorough walkthrough of the code is described in this article on medium: https://ryanraymartin.medium.com/deep-reinforcement-learning-for-stock-trading-with-kafka-and-rllib-d738b9634675
A real-time event pipeline around Kafka Ecosystem for Chicago Transit Authority.
Manage your topic's configuration (partitions, replication factor, parameters), ACLs, quotas, users and get stats, without any effort with this library. It does not use the Kafka scripts and does not require ssh connection to the remote broker.
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