Case Study #4 Monitoring Solutions Using Solr / LuceneAhology
Problem
Leading sentiment analysis and marketing player was facing issues with performance of existing setup which was jeopardizing plans for 3x growth within 6 months.
Typical situations:
- Query response times taking upto 7-8 s
- AWS hosting costs high and with anticipated growth, it was critical to define growth strategy
- Skeletal monitoring and metrics
Ahalogy – Solution
Achieved using:
- Performance Tuning and Optimization
- Setup and defined strategy for infra-sizing from current QPS to 10x QPS
- Setup comprehensive monitoring & metrics based on benchmarks
- Optimized and set guidelines for memory, heap, and GC
- Schema Optimization
Ahalogy – Implementation
Infra-sizing covering:
- Hardware
- Memory
- Cores
- Shards
- Replicas
- Solr Cloud
- Indexing
Scaling strategy
Application Profiling and Schema Optimization
Ahalogy – Implementation
Pipeline optimization:
- Query
- Index
Defined roadmap for Solr upgradation
Established baseline benchmarks
Defined parameters to track for pro-active monitoring
Ahalogy – Benefits
- Increased Efficiency
!!QTimes reduced drastically to < 300 ms
- ROI > 200% !!
Right-sizing of infrastructure – based on AWS spot-rates
- Ready for tomorrow, today!
Setup monitoring tools and benchmarks for metrics
Why Nextbrick
- Demonstrated domain experience
- 35+ CMS engagements
- 50+ Search & Taxonomy Engagements
- 30+ Portal engagements
- Vendor-independent
- Offer objective stance for assessments and reviews
- Significant cost advantage
- Proven hybrid model of on-site, off-site, offshore development
- Easy engagement terms
- Great References
Thank You
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