Elastic Observability
UnclaimedFull-stack observability solution built on a Search AI Platform, enabling faster troubleshooting with agentic AI.
Visit WebsiteTL;DR - Elastic Observability
- Unifies full-stack observability with AI-driven insights for faster troubleshooting.
- Ingests any data, including OpenTelemetry, with AI-powered analysis and anomaly detection.
- Offers cost-efficient storage and high-performance querying for petabytes of data.
Pricing: Paid only
Best for: Enterprises & pros
4.4/5 across review platforms
Pros & Cons
Pros
- Fixes problems in seconds, not hours, using AI-driven insights.
- Supports petabytes of data with cost-efficient storage and high performance.
- Open source and standardized on OpenTelemetry for flexibility and extensibility.
- Provides comprehensive full-stack visibility from bare metal to cloud and GenAI apps.
- Offers zero-config, always-on analysis with machine learning to proactively identify issues.
Ratings Across the Web
4.4(1,362 reviews)
Ratings aggregated from independent review platforms. Learn more
Preview
Key Features
Log analytics with Discover, prebuilt dashboards, and ES|QLApplication Performance Monitoring (APM) with native OpenTelemetry supportInfrastructure monitoring across cloud, on-prem, Kubernetes, and serverlessAIOps with zero-config anomaly detection, pattern analysis, and correlationLLM observability for tracking GenAI app latency, errors, prompts, and costsDigital Experience Monitoring (DEM) with RUM, synthetic testing, and uptime monitoringAI-driven log processing with Streams for automatic data organizationAI Assistant for natural language root cause insights and context
Pricing Plans
Free TrialHosted
Resource based pricing
- Full visibility and control over HW configuration, clusters size, node count, and versions
- Custom control over cluster capacity
- All solutions and platform capabilities
- Four support tiers, depending on the Elastic Cloud subscription tier
- 99.95% Monthly Uptime SLA for Platinum and Enterprise subscription tiers
Serverless
Usage based pricing
- Fully managed, just bring your data. Elastic manages all HW configuration, clusters size, node count, and versions.
- Automatically scales up and down based on search and indexing load to optimize performance
- Most solution and platform capabilities
- Notable upcoming features: traffic filtering, cross project search, and bring your own key
- Four support tiers, depending on the Elastic Cloud subscription tier
- 99.95% Monthly Uptime SLA for Platinum and Enterprise subscription tiers
Self-managed
License based pricing
- Full control over deployment location, HW setup and configuration, orchestration, clusters size, node count, and versions
- Custom control over cluster capacity, storage-based autoscaling available in ECE and ECK
- All solutions and platform capabilities
- Two subscription tiers (Platinum and Enterprise) with identical support SLA
About Elastic Observability
By Toolradar Team·
Elastic Observability is a comprehensive, full-stack observability solution built on Elastic's Search AI Platform. It helps SREs and development teams troubleshoot problems faster, often in seconds, by unifying application and infrastructure visibility. The platform ingests any data, including OpenTelemetry-compliant telemetry, and provides instant dashboards, always-on anomaly detection, and pattern analysis. It leverages AI Assistant and agentic AI workflows to dive deeper into root causes, moving beyond just alerts to provide actionable answers.
The solution is designed to store more data, spend less, and troubleshoot faster, integrating log analytics, application performance monitoring (APM), infrastructure monitoring, AIOps, LLM observability, and digital experience monitoring (DEM). It supports petabytes of data with cost-efficient storage and high-performance querying, making it suitable for organizations needing to manage and analyze large, long-term datasets across cloud, on-prem, Kubernetes, and serverless environments. Its open-source foundation and standardization on OpenTelemetry ensure flexibility and extensibility.
Reviews
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Elastic Observability FAQ
How does Elastic Observability leverage agentic AI to improve troubleshooting?
Elastic Observability uses agentic AI workflows and an AI Assistant to analyze data, dive deeper into issues, and pinpoint root causes. This allows users to get answers and insights rather than just alerts, significantly speeding up problem resolution.
What specific OpenTelemetry (OTel) capabilities does Elastic Observability offer for application performance monitoring (APM)?
Elastic Observability provides production-grade pure OTel support, allowing users to stream native OTel data without proprietary agents. It also offers broad language support with sampling capabilities for comprehensive APM.
How does Elastic Observability help manage and analyze logs from various sources?
Elastic Observability uses AI-driven log processing with Streams to automatically organize data, apply parsing, partitioning, field extraction, and lifecycle policies. It also highlights 'Significant Events' to draw attention to important features within petabytes of logs for instant clarity.
Can Elastic Observability provide visibility into Generative AI applications?
Yes, Elastic Observability offers LLM observability features to remove blind spots for GenAI apps. It tracks latency, errors, prompts, responses, usage, and costs across all major LLM services.
What are the benefits of using Elastic Observability with the new Search AI Lake architecture?
When combined with Search AI Lake, Elastic Observability enables faster analytics with near-instant queries, even on petabytes of data. This allows for rapid insights by analyzing all data at unprecedented speed and scale, benefiting from the decoupled compute and storage of Search AI Lake.
Source: elastic.co