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Elastic Stack engineering for growing companies

Turn your data into answers you can search.

We design, implement, and operate the Elastic Stack end to end — Elasticsearch clusters, Logstash and Beats ingestion, and Kibana dashboards — so your team finds what it needs in milliseconds.

Search & analytics
Sub-second at scale
ELK end to end
Elasticsearch · Logstash · Kibana
Production-ready
Tuned, secured, monitored

Services

The full Elastic Stack, done right

From cluster design to relevance tuning and Kibana dashboards — modular engagements you can start small and scale.

Cluster Design & Deployment

Architect and stand up Elasticsearch clusters sized for your data and traffic — on-prem, in the cloud, or on Elastic Cloud.

  • Capacity planning, sharding, and node roles
  • Self-managed, Kubernetes (ECK), or Elastic Cloud
  • High availability, snapshots, and disaster recovery

Search & Relevance Engineering

Build fast, relevant search on top of Elasticsearch — from mappings and analyzers to ranking that returns the right results.

  • Index mappings, analyzers, and Query DSL
  • Relevance tuning, autocomplete, and faceting
  • Vector & semantic search (kNN, ELSER)

Ingestion & Logstash Pipelines

Get your data into Elasticsearch reliably — with Logstash, Beats, and ingest pipelines that parse, enrich, and normalize.

  • Logstash, Beats, and Elastic Agent pipelines
  • Parsing, enrichment, and data normalization
  • Reliable, scalable, back-pressure-aware ingestion

Kibana Dashboards & Visualization

Turn your indices into Kibana dashboards and visualizations your team actually uses to make decisions.

  • Dashboards, Lens, and custom visualizations
  • Maps, reporting, and saved searches
  • Spaces, roles, and access control

Logging & Observability

Centralize logs, metrics, and APM on the Elastic Stack — with alerting that surfaces problems before your users do.

  • Centralized logging and metrics (ELK)
  • Elastic APM and uptime monitoring
  • Alerting, anomaly detection, and SLAs

Performance, Security & Operations

Keep your cluster fast, secure, and cost-effective — from query optimization to index lifecycle and upgrades.

  • Query & indexing performance tuning
  • Index Lifecycle Management and hot-warm-cold tiers
  • Security, role-based access, and upgrades

Approach

From raw data to fast, relevant search

We move in focused steps, proving value on your real data before scaling out to production.

  1. 01

    Assess

    We map your data sources, search and analytics needs, and the questions your current setup can't answer.

  2. 02

    Design

    We design the cluster, index mappings, and ingestion pipelines — sized for your data, traffic, and budget.

  3. 03

    Build

    We implement ingestion, search, and Kibana dashboards in focused iterations, integrated with your stack.

  4. 04

    Operate

    We tune relevance and performance, harden security, and set up lifecycle management so it stays fast and affordable.

Why OIDA

Elastic expertise, sized for your team

Whole-stack expertise

Elasticsearch, Logstash, Kibana, and Beats — we work across the entire Elastic Stack, not just one piece.

Relevance that matters

We tune search around the results your users actually need, measured against real queries — not defaults.

Cost-aware by design

Sharding, lifecycle tiers, and retention tuned from the start so storage and compute don't surprise you.

Built to operate

Snapshots, security, monitoring, and upgrades baked in so your cluster stays healthy long after launch.

Let's make your data fast to search.

Tell us about your data and what you need to search or visualize. We'll reply within one business day with concrete next steps — no obligation.

Connect
LinkedIn
Availability
Remote-first · Working worldwide