Fortune 500 companies, governments, and global enterprises call us to solve their hardest Elasticsearch challenges.
These are production systems at national and enterprise scale, where a wrong answer, an unseen outage, or a missed threat carries real cost. Elastic reaches further than these three areas; search, observability, and security are where our engineering runs deepest.
Elastic-certified engineering depth
Elastic Certified Engineer
Elastic Certified Analyst
Elastic Certified Observability Engineer
Elastic Certified SIEM AnalystOne senior team across search, observability, and security
All three are co-equal practices, each delivered at production scale. Start with the area that matches the problem you own.
Search
Enterprise, product, and AI-grounded search that returns the right answer, not just more results.
Jump to SearchObservability
Logs, metrics, and traces unified so you see where a system will fail before your users do.
Jump to ObservabilitySecurity & SIEM
Threat detection and investigation that gives your team audit-ready signal, not more alerts.
Jump to Security & SIEMSearch that ranks the right answer first, at scale
We engineer relevance across enterprise content, commerce, and AI-grounded retrieval — and tune it to hold at production scale.
- Enterprise, workplace, and knowledge search — documents, tickets, service requests, internal content
- Website and e-commerce/product search
- Semantic, vector, and hybrid search (understanding intent, not just keywords)
- AI and RAG-powered search — LLM answers grounded in an Elastic index
- Relevance tuning — query parsing, filters, and scoring
- Autocomplete and search-as-you-type
- Crawlers and connectors for indexing web, app, and enterprise content
- Search application health and relevance assessment
Observability that surfaces failures before your users feel them
We unify logs, metrics, and traces into one early-warning signal — and keep it reliable under production load.
- Logs, metrics, and traces unified in one platform
- Application performance monitoring (APM)
- Infrastructure monitoring, real-user monitoring, and synthetic monitoring
- Dashboards and alerting (Kibana)
- ML-based anomaly detection
- Incident investigation and root-cause analysis
- AIOps and delivery accelerators — noise suppression, blast-radius simulation, automated triage
- Air-gapped and critical-infrastructure deployments
Elastic SIEM that separates real threats from alert noise
We tune Elastic SIEM to surface the threat that's real, in time to act — and harden it to hold up under audit.
- SIEM implementation and threat detection
- Threat hunting and investigation
- ML-based anomaly detection for security signal
- Compliance-oriented dashboards and reporting
- Security data onboarding — logs, endpoint, cloud, and identity sources
- Role-based access control and field/document-level security
- TLS hardening and air-gapped, high-security cluster deployments
Migrations
Elastic platform migrations (Splunk, Datadog, Solr, self-managed Elasticsearch, and more) — dedicated content coming soon.
Elastic engagements across search, observability, and security
Filter by the domain you own to see the relevant work.
Big 4 professional-services firm, 150+ countries: refined query parsing, filters, and relevance scoring across an enterprise search platform.
Read the case study SearchMajor American airline group: unified search and high-precision relevance across 5+ web domains and 5 languages after migrating off Swiftype to Elasticsearch Serverless.
Read the case study SearchGlobal Japanese electrical-engineering conglomerate: migrated a Swiftype configuration to Elastic AppSearch and fixed crawler indexing across 4 web domains (~200,000 documents).
Read the case study ObservabilityPublic-sector healthcare network: built custom SNMP/syslog adapters and 35 dashboards to unify monitoring across 14 device and protocol integrations.
Read the case study ObservabilityGlobal digital financial-services leader: migrated to Elastic Cloud with GitOps-managed synthetics, infrastructure monitoring, ML jobs, and Kibana alerting.
Read the case study ObservabilityGlobal IT-infrastructure services provider: translated 50+ Kibana dashboards into 10+ languages across two Elastic versions.
Read the case study SecuritySingapore-based bill-payments and cashflow-automation platform: production-grade Elastic Security SIEM across multi-cloud infrastructure, with embedded agents, ML anomaly detection, and real-time dashboards.
Read the case study SecuritySan Jose–based cloud-security firm: automated ECS-compliant ingestion pipelines for ZIA and Okta security logs with Ansible-driven multi-node deployment.
Read the case study SecurityCritical-infrastructure organization: deployed a production-grade, fully air-gapped multi-node Elastic cluster with local package registries and CA-signed TLS.
Read the case studyStart with the engagement that fits where you are.
Every engagement is led by senior Elastic engineers.
Most engagements start free — a one-week assessment or proof of concept — a low-risk way to put a specialist team on your hardest problem before you commit to more.
Elastic health check
A senior review of performance, cost, reliability, and architecture risk — before it becomes an incident.
- One week, senior-led
- Written findings and risk report you can act on
Migration advisory
A plan to move off Splunk, Datadog, Solr, self-managed Elasticsearch, or another platform, with the risks mapped before you commit.
- One week to a plan
- Source-by-source risks, sequence, and effort
- Before you move anything
Cost reduction
Right-sizing clusters and licenses so you stop paying for capacity you never use.
- A senior assessment of where your Elastic spend goes
- Savings work scoped from there
Performance tuning
Restoring search relevance, query speed, and cluster performance under real production load.
- A senior diagnostic of what's slowing your cluster
- Tuning work scoped from there
Managed operations
Senior Elastic engineers who run the system with you after go-live — not a ticket queue.
- Free review of how you run Elastic today
- Ongoing engagement scoped to fit
AI Search Readiness
An assessment of whether your data, index, and relevance are ready for semantic and AI-grounded search.
- Free assessment
- Where you're ready, leads straight into a one-week proof of concept
Document Intelligence
Turning unstructured documents into searchable, structured knowledge your teams and AI can retrieve.
- One week to a searchable index built on a sample of your documents
- For you to test
AI for eCommerce search
Semantic and AI-grounded product search that understands shopper intent, not just keywords.
- One week to a working PoC on a slice of your catalog
- See the results before you build
Elastic Agent Builder
Building AI agents grounded in your Elastic data, with retrieval and actions wired in.
- One week to a working agent on your Elastic data
- For you to try
Observability for AI apps
Monitoring for LLM and AI applications — latency, cost, token usage, and output quality in production.
- One week to instrument one AI app
- Stand up the dashboards in real conditions
Observability for AI in software engineering
Visibility into how AI-assisted development tools perform across your engineering pipeline.
- Free readiness assessment of what your pipeline can measure
- Leads into a one-week PoC
AIOps
AI-driven anomaly detection, noise suppression, and automated triage across your logs, metrics, and traces.
- One week running against a slice of your real telemetry
- See the noise drop before you commit