OpenSearch Performance Tuning Experts
Struggling with slow queries, high latency, or resource inefficiencies in OpenSearch? Our performance tuning experts deliver targeted optimizations that accelerate search speeds, reduce costs, and eliminate bottlenecks across your entire stack.
The understanding of Elasticsearch and insight BigData Boutique were able to provide was absolutely UNBELIEVABLE.
Pavel Klushkin
We tried several different support services, which weren’t very useful to us. With BigData Boutique we had the best experience.
Avi Arfin
Search EM at
You can tell just by talking to BigData Boutique, how deep their knowledge in search technology is.
Gio Bagtas
Director at
BigData Boutique helped our search team with some of the intricacies of Elasticsearch and how we could integrate it with our solutions.
Andy Metcalfe
Project Lead at
BigData Boutique preserved the basic schema and underlying architecture, yet took fundamental design decisions that significantly improved the existing platform.
Rafi Bryl
Director at
Thanks to BigData Boutique we now constantly explore the potential for further use of Elasticsearch.
Uri Harel
VP Infrastructure at
BigData Boutique created the best solution possible, and automated the entire process using DevOps principles.
Denis Borisevich
Lead DBA at
Ever since BigData Boutique helped our Elasticsearch migration, we have had 99.999% (five 9s) uptime, a much better monitoring and alerting system and observability of our infrastructure and systems.
Deborah Anav
Technical PM at
Had the pleasure to work with BigData Boutique. A mature experienced team with all it is related to databases, cloud and specifically to Elasticsearch.
Sharon Weintraub
Data Services Team Lead
BigData Boutique helped us take our Elasticsearch capabilities to it's top. Together we have optimized our infrastructure, fine-tuned many of our queries and pipelines to get a faster and more efficient service.
Ady Levy
VP R&D at
Trusted By
13yrs
of Proven Experience
10x
Average Query Speed Improvement
40%
Average Resource Cost Reduction
What Our OpenSearch Performance Tuning Experts Deliver
Our performance tuning services are engineered to identify bottlenecks, eliminate inefficiencies, and unlock the full potential of your OpenSearch infrastructure.
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Query DSL optimization, filter caching, and rewriting strategies for sub-second response times
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Indexing pipeline tuning, bulk request optimization, and refresh interval configuration
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Shard sizing, allocation strategies, and cluster topology optimization for balanced workloads
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JVM heap tuning, garbage collection optimization, and memory management strategies
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Performance monitoring, slow log analysis, and continuous profiling with actionable insights
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Load distribution, horizontal scaling strategies, and traffic management for high availability
Why Work With Our OpenSearch Performance Tuning Experts
With over 14 years of deep expertise in search technologies and distributed systems, BigData Boutique stands as the global authority on OpenSearch performance optimization. We've fine-tuned thousands of clusters across Fortune 500 enterprises and high-growth startups, delivering measurable improvements in speed, stability, and cost efficiency.
Our engineers bring advanced knowledge of query execution, index design, JVM internals, and distributed systems ensuring every optimization is grounded in proven methodologies and tailored to your specific workload patterns.
From root-cause analysis and iterative testing to implementation and ongoing monitoring, we partner with you at every stage. We don't just deliver recommendations we ensure they work in production, driving real business impact.
We Can Help You
Increase
Query Speed
Indexing Throughput
System Stability
Cluster Efficiency
Reduce
Query Latency
Resource Costs
CPU & Memory Usage
Downtime Risk
Comprehensive Performance Diagnostic and Tuning Process
Our performance tuning engagements begin with a deep diagnostic analysis. We examine cluster configuration, query patterns, indexing workloads, resource utilization, and architectural decisions to identify root causes of performance degradation.
From there, we deliver a prioritized Tuning Recommendations Report that outlines specific optimizations aligned with your business goals whether it's reducing cloud costs, improving user experience, or preparing for scale.
We then work closely with your team through iterative implementation, testing, and refinement ensuring every change delivers measurable improvement and long-term stability.
Why Choose
BigData Boutique?
We're not generalists — we're search and analytics specialists with unmatched depth in OpenSearch performance engineering. Our team is led by Itamar Syn-Hershko, a globally recognized authority on search technologies and Apache Lucene.
Every performance consultant at BigData Boutique is rigorously trained in advanced optimization techniques, profiling methodologies, and production troubleshooting.
Whether you're facing query bottlenecks, resource constraints, or unpredictable latency, we bring proven expertise and tailored strategies to every engagement delivering faster results, measurable outcomes, and sustained performance gains.
Check out stories from our featured customers
Root Cause Analysis
We diagnose the exact source of performance issues using advanced profiling, slow log analysis, and cluster inspection techniques.
Iterative Optimization
Performance tuning is never one-and-done. We test, measure, and refine continuously to ensure lasting improvements across evolving workloads.
Production-Ready Solutions
Every recommendation is validated in real-world conditions. We don't just provide reports we implement, monitor, and ensure success in production.
Strategic Performance Tuning for Production Environments
Our performance tuning services are designed to deliver measurable business outcomes faster searches, lower infrastructure costs, and more reliable systems. We combine deep technical expertise with hands-on collaboration, ensuring every optimization aligns with your operational and financial goals.
What we deliver:
- Detailed performance diagnostics and bottleneck identification
- Query optimization for sub-second response times
- Indexing pipeline tuning for faster data ingestion
- Shard rebalancing and cluster topology refinement
- JVM and memory tuning for optimal resource utilization
- Ongoing monitoring and proactive performance management
From initial assessment to production implementation, we ensure your OpenSearch infrastructure runs at peak efficiency delivering speed, stability, and cost savings.
Query and Search Performance Optimization
Slow searches aren't just frustrating they hurt user experience and revenue. Our query optimization experts analyze execution plans, rewrite inefficient queries, and implement caching strategies that dramatically reduce latency.
Our query optimization approach includes:
- Query DSL analysis and rewriting for efficiency
- Filter context optimization to bypass scoring overhead
- Request and query cache configuration for repeated searches
- Field data and doc values optimization for aggregations
- Index mapping refinement to reduce query complexity
- Load testing and query profiling for production workloads
By fine-tuning every layer of your search stack, we ensure users get the results they need with minimal latency and maximum reliability.
Advanced Techniques for Maximum Performance
At BigData Boutique, we go beyond basic configuration. Our engineers leverage advanced techniques to squeeze every ounce of performance from your OpenSearch deployment ensuring speed, stability, and cost efficiency at scale.
From JVM garbage collection tuning to distributed query optimization, we apply cutting-edge methodologies that only the most experienced teams can execute.
Advanced optimization services:
- JVM heap sizing and garbage collection algorithm selection
- Circuit breaker tuning to prevent out-of-memory crashes
- Thread pool optimization for concurrent request handling
- Index lifecycle management for storage efficiency
- Cross-cluster search and multi-region optimization
- Performance testing and capacity planning for future growth
We don't just fix immediate problems — we design your infrastructure to perform consistently under increasing load and evolving requirements.
Technology That Powers Performance Optimization
We've built proprietary tools that accelerate performance diagnostics and deliver actionable recommendations at scale. Our internal platform analyzes cluster metrics, slow logs, and query patterns to pinpoint optimization opportunities.
From automated health checks to continuous performance monitoring, we deploy technology that keeps your OpenSearch infrastructure running at peak efficiency 24/7.
Learn more about Pulse
Backed by years of production experience, we combine open-source expertise with proprietary tooling to deliver performance improvements that stick. Whether you're on Amazon OpenSearch Service, self-managed, or hybrid, we ensure your infrastructure delivers the speed and reliability your users demand.
FAQ
Performance tuning includes diagnosing bottlenecks, optimizing queries, tuning indexing pipelines, adjusting shard allocation, configuring JVM settings, and implementing caching strategies all tailored to your specific workload.
Results vary by environment, but we typically deliver 5-10x improvements in query speed and 30-50% reductions in resource costs through targeted optimizations and architectural refinements.
Yes. We provide 24/7 performance monitoring, proactive alerting, and continuous optimization services to ensure your cluster maintains peak performance as workloads evolve.
Absolutely. Most performance optimizations can be implemented with zero downtime using rolling restarts, gradual configuration changes, and careful testing in production.
We use a combination of slow log analysis, query profiling, cluster metrics inspection, JVM diagnostics, and load testing to pinpoint exactly where performance is degrading.
Yes. By optimizing resource usage, improving shard allocation, and implementing efficient caching, we help clients reduce infrastructure costs by 30-40% on average.
Initial diagnostics and recommendations typically take 1-2 weeks. Full implementation and iterative refinement can take 4-8 weeks depending on complexity and scale.
Yes. Our performance tuning services cover Amazon OpenSearch Service, self-managed deployments on AWS/GCP/Azure, and hybrid architectures ensuring optimization regardless of your hosting model.
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