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OpenSearch Application Search & Admin Dashboard Platform
Operations & Services

OpenSearch Application Search & Admin Dashboard Platform

OpenSearch platform with zero-ETL DynamoDB integration powering user-facing search and admin dashboards using AWS OpenSearch Ingestion.

Client

Enterprise Operations & Services Company

Date

November 2024

AWS
OpenSearch
OpenSearch Ingestion
DynamoDB
Zero-ETL Integration
Real-time Search
Application Search
Admin Dashboards

The Challenge

An enterprise operations company needed to power their user-facing application and admin dashboards with high-performance search capabilities. While DynamoDB served their transactional database needs, it couldn't provide the fast, flexible search and filtering required for their application features and administrative tools. Key challenges included:

  • User-facing application needed fast, flexible search functionality
  • Admin dashboards required complex filtering and data exploration
  • DynamoDB's limited query patterns insufficient for search use cases
  • Need for real-time data availability in search index
  • Complex faceted search and aggregation requirements
  • Sub-second search response times for user experience
  • Scalability for growing user base and data volume

Our Solution

We configured AWS OpenSearch Ingestion for DynamoDB, leveraging AWS's zero-ETL integration to synchronize DynamoDB data to OpenSearch in real-time, powering user-facing search features and admin dashboard analytics.

OpenSearch Ingestion Pipeline Configuration

  • Configured AWS OpenSearch Ingestion service
  • Set up DynamoDB as source for ingestion pipeline
  • Configured OpenSearch Service as destination
  • Implemented pipeline YAML configuration
  • Set up IAM roles and permissions for secure access
  • Configured DynamoDB Streams integration
  • Enabled continuous data synchronization

Index Mapping & Schema Design

  • Designed OpenSearch index mappings for DynamoDB data
  • Created field mappings optimized for search performance
  • Implemented text analysis and tokenization configurations
  • Designed nested object structures for complex data
  • Configured field types for faceted filtering
  • Optimized mapping for application query patterns
  • Created index templates for consistency

OpenSearch Cluster Architecture

  • Architected multi-node OpenSearch cluster
  • Designed index lifecycle management (ILM) policies
  • Implemented hot-warm-cold architecture for cost optimization
  • Created index templates for consistent mapping
  • Built index aliases for zero-downtime updates
  • Configured cluster settings for performance
  • Implemented snapshot and restore procedures

Integration & Data Synchronization

  • Configured automatic DynamoDB to OpenSearch sync
  • Set up real-time change data capture via DynamoDB Streams
  • Implemented initial data load from existing DynamoDB tables
  • Configured data transformation rules in pipeline
  • Set up monitoring for ingestion pipeline health
  • Configured CloudWatch metrics and alarms
  • Tested data consistency and synchronization latency

User-Facing Application Search

  • Developed fast full-text search for end users
  • Built autocomplete and typeahead suggestions
  • Implemented faceted filtering for refined results
  • Created relevance scoring for search rankings
  • Designed fuzzy matching for typo tolerance
  • Built geo-spatial search for location-based queries
  • Implemented search result highlighting

Admin Dashboard Features

  • Built complex filtering and data exploration tools
  • Created real-time data views for administrative users
  • Implemented advanced aggregation queries
  • Designed custom metric visualizations
  • Built location-based filtering and analytics
  • Created export capabilities for admin reports
  • Implemented role-based access to dashboard features

Results

The OpenSearch platform with zero-ETL integration transformed application capabilities:

  • Enhanced User Experience: Sub-second search results for application users
  • Powerful Admin Tools: Complex filtering and data exploration in dashboards
  • Real-Time Synchronization: Automatic DynamoDB changes reflected in search
  • Zero-ETL Integration: Managed service eliminating custom pipeline maintenance
  • Simplified Architecture: AWS-managed ingestion reducing operational overhead
  • Scalable Performance: Fast queries supporting growing user base
  • High Availability: Multi-AZ deployment ensuring application uptime

Key Achievements

  • Zero-ETL Integration: Leveraged AWS OpenSearch Ingestion for DynamoDB
  • Managed Service: Eliminated custom pipeline code and maintenance
  • Real-Time Sync: Automatic sub-second data synchronization
  • Application Search: Enhanced user experience with powerful search
  • Admin Dashboard Power: Advanced filtering and analytics capabilities
  • Simplified Operations: AWS-managed infrastructure reducing overhead
  • Search Performance: Sub-second response times at scale
  • High Availability: Multi-AZ deployment ensuring reliability

Technologies Used

  • Source Database: AWS DynamoDB, DynamoDB Streams
  • Search Platform: Amazon OpenSearch Service
  • Zero-ETL Integration: AWS OpenSearch Ingestion for DynamoDB
  • Pipeline Configuration: OpenSearch Ingestion Pipeline YAML
  • Index Management: Index Lifecycle Management, Index Templates
  • Monitoring: Amazon CloudWatch, OpenSearch Metrics
  • Security: IAM Roles, Fine-grained Access Control, Encryption
  • Application Integration: OpenSearch APIs, Search Queries
  • Cluster Management: Multi-AZ Deployment, Auto-scaling
  • Infrastructure: AWS Managed Services, High Availability