Elastic Cloud
APIElastic Cloud is the managed cloud service for Elasticsearch, Kibana, and the Elastic Stack with deployment across AWS,
www.elastic.co/cloudLast updated: April 2026
Elastic Cloud is the managed cloud service for Elasticsearch, Kibana, and the Elastic Stack with deployment across AWS, Azure, and Google Cloud.
About
Elastic Cloud is the managed cloud service provided by Elastic, the company behind Elasticsearch, Kibana, Logstash, and the Elastic Beats family of data shippers. As a fully managed service, Elastic Cloud handles the operational complexity of running Elasticsearch clusters at scale, allowing teams to focus on using the platform for search, observability, and security analytics rather than managing infrastructure.
Elasticsearch is the distributed, RESTful search and analytics engine at the heart of the Elastic Stack. Designed for horizontal scalability, real-time search, and complex analytics over large volumes of data, Elasticsearch powers search applications, log analytics, security information and event management (SIEM), application performance monitoring, and many other use cases. On Elastic Cloud, Elasticsearch clusters can be provisioned in minutes and scaled with clicks rather than through manual infrastructure provisioning.
Kibana is the data visualization and management interface for Elasticsearch. It provides dashboards, charts, maps, and tables for exploring Elasticsearch data visually, as well as management interfaces for index lifecycle policies, snapshot and restore, security configuration, and machine learning models. On Elastic Cloud, Kibana is deployed and configured automatically alongside each Elasticsearch deployment.
Elastic Cloud provides deployments across AWS, Azure, and Google Cloud in dozens of regions worldwide, enabling teams to deploy Elasticsearch in the cloud region that minimizes latency for their users and complies with data residency requirements. Multi-cloud and cross-region clustering options are available for high-availability and disaster recovery configurations.
The Elastic Security solution, available through Elastic Cloud, provides SIEM capabilities for detecting threats, investigating incidents, and automating responses using data collected from endpoints, network devices, cloud services, and applications. The Elastic Endpoint Security agent combines endpoint protection with endpoint detection and response capabilities.
Elastic Observability consolidates logs, metrics, traces, and synthetic monitoring in a single view, enabling engineering teams to correlate signals across all three observability pillars for rapid incident detection and resolution.
Elastic Cloud includes features such as automatic backups, cross-cluster search and replication, autoscaling based on data volume, and a trust-based encryption model where customer data keys are managed by the customer.
Positioning
Elastic Cloud is the managed deployment of the Elastic Stack — Elasticsearch, Kibana, and Integrations (formerly Beats and Logstash) — operated by the company that builds and maintains these tools. While Elasticsearch is available as open-source software that anyone can run, Elastic Cloud provides the operational layer that makes it production-grade: automated cluster management, cross-region replication, autoscaling, snapshot management, and security hardening that would require a dedicated team to achieve with self-managed deployments.
What makes Elastic Cloud distinct from competing managed Elasticsearch offerings (like AWS OpenSearch) is that it runs the genuine Elastic-maintained distribution with exclusive features — machine learning anomaly detection, the Elastic Security SIEM, Elastic APM, and cross-cluster search — that aren't available in forked versions. The platform is available on AWS, Google Cloud, and Azure, with the flexibility to choose regions, hardware profiles, and architecture configurations that match specific workload requirements.
What You Get
- Managed Elasticsearch
Production-grade Elasticsearch clusters with automatic sharding, node scaling, rolling upgrades, and snapshot management across AWS, GCP, and Azure regions. - Kibana Dashboards
Full Kibana deployment for data visualization, exploration, and management with pre-built dashboards for logs, metrics, APM, and security use cases. - Elastic Observability
APM, log analytics, infrastructure monitoring, and synthetic monitoring unified in a single platform with ML-powered anomaly detection. - Elastic Security
SIEM, endpoint protection, and cloud security with detection rules, investigation tools, and automated response — all powered by the Elastic search engine. - Elastic AI Assistant
Natural language interface for querying data, creating visualizations, understanding alerts, and generating ES|QL queries without syntax expertise. - Serverless Projects
Fully managed serverless Elasticsearch experience with no cluster management, automatic scaling, and usage-based pricing for specific use cases.
Core Areas
Search & Analytics
Full-text search, vector search, and analytics at scale with Elasticsearch's mature query DSL, aggregation framework, and new ES|QL piped query language.
Observability
Unified log analytics, APM, infrastructure monitoring, and uptime monitoring powered by Elasticsearch's fast search and aggregation capabilities.
Security Analytics
SIEM platform with 1,000+ pre-built detection rules, ML-based anomaly detection, investigation timelines, and automated response workflows.
Vector & AI Search
Native vector search capabilities with ELSER (Elastic's learned sparse encoder), hybrid search combining BM25 and kNN, and integration with LLMs for RAG applications.
Why It Matters
Elasticsearch powers search and analytics for hundreds of thousands of organizations, but running it in production requires significant expertise — capacity planning, shard management, upgrade orchestration, and performance tuning are ongoing responsibilities. Elastic Cloud abstracts this operational burden while providing access to the full, unmodified Elastic Stack with features that aren't available in open-source or forked alternatives.
For organizations already using Elasticsearch, Elastic Cloud reduces operational costs and risk. For new adopters, it provides the fastest path to production search, observability, or security analytics without the learning curve of cluster management. The platform's serverless option further lowers the barrier by eliminating cluster concepts entirely.
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