Slow, inefficient search is a major roadblock for enterprises handling massive data volumes. When a leading private bank faced performance bottlenecks in search operations, Ashnik stepped in to transform their search infrastructure—scaling to 20K queries per second and ensuring instant access to critical customer data.
This whitepaper unveils how Ashnik helped the bank eliminate search latency, optimize infrastructure, and unlock real-time insights.

What You’ll Learn:

• How the bank optimized search performance with Elasticsearch
• The architecture enhancements that enabled 20K queries/sec
• How to achieve real-time Customer 360 insights at scale
• Best practices for observability, high availability, and scalability
• Lessons for enterprises looking to future-proof search and analytics