Elasticsearch Consulting
We are a specialist Elasticsearch consulting firm helping companies unlock the full power of their search infrastructure. Whether you are starting from scratch, scaling an existing cluster, or optimizing a struggling deployment, our engineers bring the depth of experience that gets results — not just advice. From initial architecture workshops to long-term operational partnerships, we stay with you at every phase.
Expert Architecture & Design
The decisions made during index design have a compounding effect on everything that follows — query speed, storage cost, cluster stability, and developer productivity. We work with your team to map out data flows, cardinality, access patterns, and retention requirements before a single index is created. The result is an architecture that grows with your business rather than fighting it.
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Index strategy, mapping, and field type selection
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Shard sizing, allocation awareness, and replica strategy
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Index lifecycle management (ILM) and data tiering
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Ingest pipeline design and enrichment strategy
Performance Tuning & Optimization
Slow queries and bloated resource usage are symptoms of deeper architectural problems. Our consultants run systematic profiling across your entire stack — from JVM heap behavior and OS-level I/O to query execution plans and circuit breaker trips. We prioritize the changes that have the greatest measurable impact and deliver a documented tuning report your team can act on immediately and learn from long-term.
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Query profiling with the Profile API and slow log analysis
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JVM heap sizing and GC pause reduction
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Disk I/O optimization and filesystem cache tuning
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Circuit breaker and thread pool configuration
Why Choose Our Consulting?
Most Elasticsearch problems stem from decisions made under pressure without sufficient domain knowledge. We have seen — and fixed — every category of mistake across e-commerce, fintech, healthcare, media, and SaaS. Our engagements are structured to transfer knowledge to your team, not create dependency on us. You will come out of every engagement with a better cluster and a more capable engineering team.
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Elasticsearch engineers with production track record
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Structured engagements from POC through production cutover
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Written deliverables: architecture docs, runbooks, and post-engagement reports
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Knowledge transfer sessions built into every engagement