The Fastest Way to Become a Backend Developer Online
Become an AI & ML Engineer with Cal Poly EPaCE — IBM-Certified Training
Overview
AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
Learn to implement real-time monitoring for a high-throughput data pipeline capable of processing 1.2 billion records per hour in this hands-on technical video. Master essential data engineering concepts by setting up and configuring Elasticsearch for optimal performance, navigating the Elasticsearch UI, and implementing Filebeat and Logstash for efficient log management. Follow along with practical demonstrations on reading and parsing logs from various sources, configuring system components, and executing queries on indexed records in Elasticsearch. Gain valuable insights into modern data engineering tools and techniques while building a robust monitoring system that integrates Kafka and Spark monitoring capabilities through a comprehensive dashboard setup.
Syllabus
Introduction
Reading and Parsing Logs from Different Source
Setting up Elasticsearch for High Throughput
Elasticsearch UI Navigation
Setting up Filebeat
Setting up Logstash
Querying Indexed Records on Elasticsearch
Outro
Taught by
CodeWithYu