Get a copy of this Case Study
Download PDF
Written by
Team Hyperflex
Share
Become our next success story
Contact Sales
Leading E-Learning Platform
From High Search Latency to 57% Lower Elasticsearch Costs
Education
Elasticsearch
Elastic Cloud
Semantic Search
Challenge
The platform relied on Elasticsearch to power content discovery across its learning ecosystem but faced high search latency, inefficient indexing, and rising infrastructure costs, impacting user experience and scalability.
Objective
- Reduce search latency and improve system efficiency
- Accelerate indexing for near real-time data availability
- Enhance search accuracy with fuzzy and semantic search
- Optimize cluster architecture for scalability & cost efficiency
Solution
Hyperflex optimized the client’s Elastic Cloud deployment, upgrading Elasticsearch and refining index architecture. We implemented fuzzy and semantic search, deployed Elastic App Search for targeted use cases, and improved cluster monitoring to identify performance bottlenecks.
Results
50%
Reduction in search latency
40%
Faster indexing performance
57%
Reduction in hourly operational costs
65%
Reduction in data size through optimized indices
Strategic Impact
- Improved content discovery across the learning platform
- Enabled advanced search capabilities with semantic relevance
- Reduced infrastructure costs through optimized cluster architecture
- Strengthened scalability for growing user demand
Enjoyed that? There’s more for you to read
Enterprise Telecommunications and Networking Organization
From Fragmented Monitoring to 99.95% Uptime
Enterprise
Fragmented Monitoring
Elastic APM
Elastic Observability
Enterprise Financial Services Platform
From Slow Log Analysis to Real-Time Fraud Detection
Finance
Elastic Security
SIEM
Threat Detection
Global Healthcare Technology Provider
From Limited Visibility to 99.9% Elasticsearch Uptime
Healthcare
Elasticsearch Optimization
Elastic Observability
ILM Management
