Reduced infrastructure costs by 90% and improved query performance 3x through strategic OpenSearch optimization and Apache Flink implementation.
A growing SaaS company was spending $50K/month on OpenSearch infrastructure to handle their log analytics and search workloads. As data volume increased, costs were spiraling while query performance degraded.
The existing architecture was inefficient, with unnecessary data duplication, oversized clusters, and suboptimal indexing strategies that led to both high costs and slow queries.
Implemented Apache Flink for real-time data processing and aggregation before indexing, reducing the volume of data stored in OpenSearch by 70%.
Designed automated index lifecycle policies to transition older data to cheaper storage tiers and delete obsolete data, optimizing storage costs.
Analyzed actual usage patterns and downsized clusters appropriately, using smaller instance types with better price-performance ratios.
Rewrote expensive queries, implemented caching strategies, and optimized mapping configurations, dramatically improving query performance.
From $50K to $5K/month
Average query time reduced
Through intelligent aggregation
Zero downtime migration
Let's analyze your infrastructure and find opportunities to reduce costs while improving performance.