Practice — Search

Search that works.
At production scale.

Relevance tuning, index architecture, cluster performance engineering, and migration planning for enterprise Elasticsearch deployments that have grown beyond what their original design could handle.

Start a conversation All practices
01 — What We Deliver

Search engineering across the full stack.

From index design to application-level query performance — we close the gap between “we have Elasticsearch” and “search our users actually trust.”

01 Relevance BM25 scoring, custom field boosting, and function score queries that surface the right results — not just the technically matching ones. Elasticsearch · Kibana · Query DSL
02 Architecture Index mappings, shard configurations, and rollover policies that keep your cluster healthy as data volumes grow beyond original capacity. Elasticsearch · ILM · Rollover API
03 Performance Heap pressure, merge storms, and slow query patterns identified and resolved in production environments under real load. JVM · Slow Query Log · Circuit Breakers
02 — Migration & Upgrades

Upgrade without the risk.

Elasticsearch major version upgrades and cross-cluster migrations require careful planning. We handle the complexity so your team does not have to carry it.

// UPGRADES

Major version migrations

  • Breaking API changes and mapping incompatibilities resolved
  • Zero-downtime cutover strategy designed and executed
  • Post-upgrade validation and performance baseline
// CROSS-PLATFORM

OpenSearch to Elasticsearch

  • Data migration, mapping translation, client library updates
  • Feature parity audit before and after cutover
  • Rollback plan documented and tested before go-live
Work With Us

Let’s fix your search.

Tell us what you are working on. A senior engineer responds within one business day with a clear technical assessment — not a proposal template.

Start a conversation → All practices