Kibana
Kibana: Explore, visualize, and manage your Elasticsearch data with AI-powered analytics
About Kibana
Kibana is the open-source interface for querying, analyzing, visualizing, and managing data stored in Elasticsearch. It offers real-time data exploration, interactive dashboards, AI-driven insights, geospatial analysis, and automated alerting. Whether for observability, security, or enterprise search, Kibana provides a unified platform to turn data into actionable intelligence.
FAQ
Support Assistant is Elastic's GenAI-powered tool that provides real-time answers to technical queries in natural language. It leverages the knowledge and expertise of the Elastic Support team to help you self-serve and find solutions quickly.
Elastic offers several support levels for Cloud and Self-managed deployments, including Limited, Core, Business, Enhanced, Premium, Platinum, and Enterprise. Each level varies in response times, support contacts, and availability.
You can access support resources through the Elastic Support Hub, where you can use Support Assistant, search articles and technical docs, or submit a ticket to the Support team for help.
Response times vary by support level. For example, Premium support offers Urgent: 30 minutes, High: 4 hours, and Normal: 1 business day. Limited support has a 3 business day target response time for Elastic Cloud platform only.
Yes, Elastic offers free on-demand and paid instructor-led training courses to help you become an Elastic expert. Additionally, Elastic's Consulting team provides professional services to drive technical goals and realize business outcomes.
You can reach out to the global community of Elastic users for help with unique use cases. The community can provide insights and solutions based on their experiences with Elastic software.
Elastic offers add-ons designed to boost performance, improve response times, and provide your team with the tools needed to succeed. These tailored options can enhance your support experience.
Elastic's Version Maintenance & Support policy outlines how long older versions are maintained and supported over time. You can review this policy to understand the support lifecycle for different software versions.
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