Sound familiar?
- ▸ AGPLv3 / ELv2 / SSPL licensing block — legal flagged the Elasticsearch licence on your distribution, and the OpenSearch-vs-stay decision (now that AGPLv3 is back as an OSI-approved option) depends on ELSER, ESQL, and observability features you actually use.
- ▸ RAG architecture decision — should retrieval be ELSER, dense vectors, or hybrid? Embedding-model lock-in is real and you need a defensible call before committing to the pipeline.
- ▸ Cluster sizing is wrong — hot/warm/cold tier ratios were chosen by the original deployment, your retention has tripled, and the cluster is now over-provisioned in hot and under-provisioned in warm.
JusDB Elasticsearch consultants give you the written decision document — not a Slack-thread opinion. Book an architecture review →
Strategic advisory — not execution
Elasticsearch Consulting Services
In short: Elasticsearch consulting is strategic advisory delivered as written recommendations — AGPLv3/ELv2/SSPL tri-license-impact analysis, the Elasticsearch-vs-OpenSearch decision, cluster sizing and shard strategy, ELSER and vector-search architecture for RAG, security design, and Elastic Cloud vs self-managed economics. You need it when licensing blocks, RAG retrieval choices, or mis-sized hot/warm/cold tiers force an architecture call.
AGPLv3/ELv2/SSPL licensing strategy, Elasticsearch-vs-OpenSearch decisions, ELSER and vector-search architecture for RAG, cluster sizing, and Elastic Cloud vs self-managed economics. See the Elasticsearch hub for the broader services overview, or the ES-vs-OS comparison for the side-by-side decision matrix.
Coverage
What our Elasticsearch consulting covers
Each deliverable is a written decision document, sized topology proposal, or costed trade-off analysis.
Licensing Strategy
AGPLv3/ELv2/SSPL tri-license impact analysis for your distribution model (AGPLv3 re-added in 2024), ES vs OpenSearch decision with the feature-divergence matrix, and the migration math when licensing forces a move.
Vector Search & RAG
ELSER vs dense vectors vs hybrid retrieval, embedding-model selection, kNN index tuning (HNSW parameters), and end-to-end RAG architecture with Elastic as the retrieval layer.
Cluster Topology
Hot/warm/cold tier ratios, master vs data vs ingest vs coordinating node split, shard count and size targets, and ILM policy design for the retention curve.
Elastic Cloud vs Self-Managed
TCO modeling against your actual usage — vendor SLA + multi-cloud portability vs operator-based K8s deployment with reserved-instance economics.
Security & Governance
X-Pack Security configuration, RBAC role mapping, document/field-level security, IP filtering, audit logging — designed for your compliance scope, not blanket lock-down.
Ingest Pipeline Design
Beats vs Logstash vs Elastic Agent vs Fluent Bit decision, ingest-pipeline processor selection, dead-letter queue handling, and exactly-once semantics where required.
Observability Architecture
Elastic Stack for logs + metrics + traces + RUM + APM — when it's the right consolidated platform, when Grafana + Loki + Tempo wins, and the migration story between them.
Engagement shapes
How an Elasticsearch consulting engagement is shaped
1–2 weeks
Architecture Review
1 week
ES vs OpenSearch Decision
2 weeks
RAG / Vector Search Design
2–3 weeks
Greenfield Design
FAQ
Elasticsearch consulting — common questions
Ready to make the call on Elasticsearch?
Book a 30-minute scoping call. We'll tell you which engagement shape fits and what the deliverable will look like — before any statement of work.
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