Elastic Stack & OpenSearch Consulting
Search, observability, and cost control for Elasticsearch and OpenSearch.
contact us nowCluster & cost review
We audit shard strategy, ILM and data tiers, ingest pipelines, and deployment options, then hand you a prioritized report of concrete cost and stability fixes — each with the setting or change that implements it.
Search implementation
Product and site search built from schema to query DSL: analyzers and mappings that fit your data, relevance tuning you can measure, and hybrid or vector search (kNN, ES|QL) where it actually helps.
Observability pipelines
Ingestion architecture for logs, metrics, and traces — Elastic Agent, Logstash, or OpenTelemetry — plus Kibana dashboards, alerting that pages on the right things, and retention policies that match your budget.
Migrations & upgrades
Major-version upgrades, moves between Elasticsearch and OpenSearch in either direction, self-managed to Elastic Cloud and back, and reindex-based mapping overhauls — planned, rehearsed, and reversible.
Search and observability, both
Most shops specialize in one use case. We work across both, because the same cluster often serves both — and the fixes interact.
Vendor-neutral by design
Elastic or OpenSearch, self-managed or hosted: we recommend what fits your workload, license posture, and team — we don't resell either.
Cost-first cluster design
Data tiers, ILM, and shard math sized to your actual retention needs. The observability bill is usually why teams call; we treat it as an engineering problem.