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    Case Study

    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.

    4 months
    Timeline
    5
    Technologies
    3
    Key Results
    Multi-AZ
    Resilience
    Magento 2 Search & Analytics Platform
    The Problem

    Context & Pain Points

    Analyzing large volumes of Magento 2 search query records required real-time ingestion pipelines, fast analytical search indices, and cost-efficient cold storage archives.

    The Challenge

    What We Had To Solve

    • 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.
    The Solution

    How We Built It

    • 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

    Outcomes That Mattered

    500M+ Daily Ingestion

    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 log streaming and search analytics engine using Kinesis Firehose, OpenSearch Service, and Aurora PostgreSQL, processing over 500 million Magento 2 records daily.