Data Pipelines & Ecosystem Integration
[!NOTE] This module explores the core principles of Data Pipelines & Ecosystem Integration, deriving solutions from first principles and hardware constraints to build world-class, production-ready expertise.
Module Contents
1. Ingestion with Beats, Logstash, and Ingest Pipelines
Deep dive into ingestion with beats, logstash, and ingest pipelines with production trade-offs, failure cases, and practical implementation patterns.
2. Streaming and CDC with Kafka + Elasticsearch
Deep dive into streaming and cdc with kafka + elasticsearch with production trade-offs, failure cases, and practical implementation patterns.
3. Building Logging and Observability Platforms
Deep dive into building logging and observability platforms with production trade-offs, failure cases, and practical implementation patterns.
Review & Implementation Checklist
Consolidate key patterns, anti-patterns, and deployment-ready checklists before moving to the next module.
Module Chapters
Ingestion: Pipelines & Grok
Ingestion: Pipelines & Grok
Start LearningStreaming & CDC: Syncing Data
Streaming & CDC: Syncing Data
Start LearningObservability: Logs, Metrics, Traces
Observability: Logs, Metrics, Traces
Start LearningData Pipelines & Ecosystem Integration — Review & Checklist
Data Pipelines & Ecosystem Integration — Review & Checklist
Start Learning