Magento 2 Search & Analytics Platform
Architected a high-performance, real-time log search and data analytics platform for Magento 2 workloads on AWS, indexing billions of search query logs and records.
The Problem
Analyzing large volumes of Magento 2 search query records required real-time ingestion pipelines, robust analytical search indices, and cost-efficient cold storage archives.
The Challenge
- Scaling ingestion buffer rates to handle extreme traffic spikes without data loss.
- Optimizing OpenSearch cluster indices to maintain fast query response times under high database volumes.
- Partitioning and compressing historical search histories for long-term audit archiving.
Our Solution
- Deployed Amazon Kinesis Firehose streams as serverless ingestion buffers, batching and compressing records before index storage.
- Engineered serverless pre-processing workers using AWS Lambda to clean and format records on-the-fly.
- Implemented automated OpenSearch index rotation cycles and configured S3 lifecycle policies to transition old logs to Glacier.
Key Results
500M+ Daily Ingestion
Seamlessly processed and formatted massive daily record streams without dropping a single log entry.
Sub-Second Search
Achieved sub-second response times on complex search analytics queries against billions of index rows.
60% Storage Reduction
Pruned archiving costs by 60% using gzip compression and automated S3 transition policies.
Outcome
Built a robust log streaming and search analytics engine utilizing Kinesis Firehose, OpenSearch Service, and Aurora PostgreSQL that processed over 500 million Magento 2 records daily.
Tech Stack
Ready to scale?
Let's discuss how we can build a resilient cloud infrastructure for your business.
Contact Me