GitHub / hq969 / AWS-PySpark-Log-Analytics-Pipeline
This project implements a real-time log analytics pipeline using AWS and Apache Spark (PySpark) to process, analyze, and visualize streaming server logs. It simulates web traffic, processes logs on-the-fly, and generates insightful analytics to detect performance bottlenecks, error patterns, and usage trends.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hq969%2FAWS-PySpark-Log-Analytics-Pipeline
Stars: 1
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 34.2 KB
Dependencies parsed at: Pending
Created at: about 1 month ago
Updated at: 22 days ago
Pushed at: about 1 month ago
Last synced at: 4 days ago
Topics: athena, aws, awskinesis, emr, glue, pyspark, s3