Background
Invia Travel Germany GmbH engaged our services to modernise 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, optimising 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 Modernisation: 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 optimisation, and operational automation at scale for Invia Travel.
- Tiered OpenSearch Architecture: Data ingested via Amazon Kinesis and Amazon Data Firehose; hot nodes for recent data, UltraWarm and cold Amazon S3 storage for older logs using Index State Management (ISM) policies.
- Automated Data Lifecycle: ISM handles rollover, replica reduction, merging, snapshotting, and deletion, minimising manual overhead.
- Performance & Cost Optimisation: AWS Graviton3 nodes, adaptive shard sizing, tuned refresh intervals, and compression cut query latency by 40% and reduced storage costs.
- Integrated Observability & Resilience: Amazon CloudWatch, OpenSearch 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 a 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: Centralised 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.
