Case Study

Invia Travel: Scalable Search and Analytics with Amazon OpenSearch Service

Background

Invia Travel Germany GmbH engaged our services to modernize their search and analytics capabilities using Amazon OpenSearch Service. We designed and implemented a scalable, cost-efficient, and fully managed solution that enabled real-time insights, automated index lifecycle management, and long-term log retention—optimizing both performance and operational overhead across their data platform.

The Challenge

Invia Travel faced operational inefficiencies and scalability challenges with their legacy Elasticsearch setup.

  • Scalability & Maintenance Issues: Self-managed Elasticsearch struggled with growing data volumes and became complex to maintain.

  • High Costs & Limited Visibility: Rising storage expenses and lack of real-time operational metrics hindered efficiency.

  • Need for Modernization: Required a fully managed AWS solution for real-time insights, automation, and long-term retention.

Our Solution

A robust, cost-efficient OpenSearch solution was designed to deliver real-time analytics, long-term storage optimization, and operational automation at scale for Invia Travel.

  • Tiered OpenSearch Architecture: Data ingested via Kinesis & Firehose; hot nodes for recent data, UltraWarm & cold S3 storage for older logs using ISM policies.

  • Automated Data Lifecycle: ISM handles rollover, replica reduction, merging, snapshotting, and deletion—minimizing manual overhead.

  • Performance & Cost Optimization: Graviton3 nodes, adaptive shard sizing, tuned refresh intervals, and compression cut query latency by 40% and reduced storage costs.

  • Integrated Observability & Resilience: CloudWatch, Dashboards, and automated alerts support monitoring; architecture spans multiple AZs for high availability.

The Result

Invia Travel’s OpenSearch implementation delivered measurable improvements in performance, cost efficiency, automation, and observability.
  • Significant Cost & Performance Gains: Achieved 90% reduction in long-term storage costs and 45% faster query performance on hot data.

  • Enhanced Indexing & Automation: 30% boost in peak indexing throughput and full automation of lifecycle operations via ISM.

  • Improved Monitoring & Response: Centralized observability with dashboards, CloudWatch alerts, and automated snapshots for rapid incident response.

  • Stronger Compliance & Resilience: Enabled cross-region snapshots, enforceable retention policies, and routine disaster recovery testing.