Solution

To address this, Comprinno designed a scalable solution to deliver state-wise analytics and regional content insights for the entertainment platform. The CloudFront logs were ingested into Amazon S3, and daily AWS Glue ETL jobs processed these logs by enriching them with geolocation details using the MaxMind GeoLite2 database stored in S3. The enriched datasets were stored in optimized Parquet format and cataloged through AWS Glue Crawlers, enabling Amazon Athena to query the data efficiently. QuickSight and Athena provide interactive, map-based dashboards, offering business teams detailed regional insights into content performance.

Key Actions:

Data Ingestion & Processing :

• Configured CloudFront to deliver access logs directly to the S3 Raw Zone.
• Developed AWS Glue ETL jobs to process and enrich these logs with city, state, and country details using the MaxMind GeoLite2 database stored in S3.
• Stored the enriched datasets in the S3 processed bucket in optimized Parquet format, partitioned by processing date for efficient querying.

Orchestration & Automation :

• Used Amazon EventBridge to trigger a daily AWS Step Functions workflow that orchestrated the pipeline end to end.
• Step Functions coordinated the ETL job execution, Glue Crawler run, and success/failure tracking to ensure automated and reliable daily processing.
• Added retry logic and error handling for fault tolerance and operational stability.

 Query Optimization :

• Configured AWS Glue Crawlers to automatically update the Data Catalog when new partitions were created.
• Used date-based partitioning in a Parquet file optimization in Athena  to improve query performance and reduce costs.
• Tuned SQL queries to reduce execution time and resource consumption.

Visualization & Enablement :

• Developed QuickSight dashboards with map-based visuals, state-level filters, and KPIs for content popularity by region.
• Integrated daily data refreshes from Athena, enabling business teams to explore the latest traffic insights independently.

Testing & Optimization :

• Validated ETL outputs for accuracy of geolocation enrichment and schema consistency before moving data to the Processed Zone.
• Monitored Athena query performance and optimized partitions to reduce latency.
• Developed tailored QuickSight dashboards that leveraged client feedback, providing interactive, intuitive visualizations and deeper insights for decision-making.

Architecture Description

The architecture was designed for automation, scalability, and reliability using a fully serverless approach. CloudFront access logs are automatically delivered to Amazon S3, where a daily EventBridge trigger initiates an AWS Step Functions workflow to orchestrate data processing. The workflow runs AWS Glue ETL jobs to transform and enrich logs with city, state, and country details using the MaxMind GeoLite2 database stored in S3. The enriched datasets are written back to an S3 processed bucket in optimized Parquet format and cataloged by AWS Glue Crawlers for efficient querying through Amazon Athena. Finally, Amazon QuickSight connects to Athena to deliver interactive, map-based dashboards that refresh daily, converting raw traffic logs into actionable regional insights with minimal operational effort.

Metrics for Success

The following KPIs highlight the measurable improvements achieved through the implementation of a secure, highly available, and cloud-native AWS architecture. 

Time to Insights

• Manual log analysis required approximately 2–3 days per report and involved significant engineering effort. Enable automated analytics processing so insights are available within hours of log delivery. The implemented solution achieved automated processing with insights available within 2–3 hours, representing a 90%+ reduction in time to insights. Measured as the elapsed time between log ingestion into Amazon S3 and the refresh of analytics dashboards in Amazon QuickSight.

Data Processing Efficiency

• Manual processing could only analyze limited subsets of log data, often missing a comprehensive analysis of user traffic patterns. Process 100% of daily Amazon CloudFront logs (1.4B+ records) with geolocation enrichment. The solution successfully processes the entire daily log volume with 100% geolocation enrichment coverage. Measured through daily records processed in the ETL pipeline and the enrichment success rate of processed datasets.