Real-time Analytics Pipeline

A scalable data ingestion and analytics pipeline processing billions of events daily.

GoAWS KinesisElasticsearchDocker

Code is private/proprietary

Architecture Overview

Stream processing architecture ingesting raw events via Kinesis, processing them with Go workers, and indexing in Elasticsearch for real-time dashboards.

Architecture Diagram PlaceholderImagine a beautiful systems architecture graph here.

The Problem

Batch processing jobs were too slow to provide actionable insights to users.

The Solution

Built a real-time streaming pipeline that processes events within milliseconds.

Lessons Learned

"Efficient resource utilization in Go workers significantly reduces infrastructure costs compared to Node.js for this specific workload."

Key Features

✓High-throughput event ingestion
✓Real-time aggregation
✓Fault-tolerant processing

Result Metrics

Processes
Processes 2 Billion+ events/day
Sub-second
Sub-second dashboard latency
99.99%
99.99% uptime