Zabbix 8.0 LTS Release Date, New Features and Overview
Zabbix 8.0 LTS monitoring system is released. Discover 10x performance boost, APM support, AI integration, and key new features.

In early November 2026, the long-term support (LTS) release of the Zabbix 8.0 monitoring platform took place, designed for tracking the performance and availability of servers, network equipment, databases, and cloud infrastructures.
Key highlights of the release: - Application Performance Monitoring (APM) via OpenTelemetry (OTLP/gRPC). - A 10x performance increase in metric processing and DNS caching via c-ares. - Complex Event Processing (CEP) engine to reduce informational noise. - MCP server integration to connect AI assistants for natural language queries.
Storage and Database Enhancements Zabbix 8.0 introduces full support for using ClickHouse as a backend database for storing historical data values and telemetry sources for APM. Additionally, support for Elasticsearch 8.x and 9.x has been stabilized to ensure robust historical data management.
Official installation packages are prepared for major Linux distributions, virtualization environments, and Docker containers, with seamless cloud deployment options available for AWS, Azure, Google Cloud, and others. Upgrading from previous versions requires minimal binary replacement with automated database migration.
Interface Improvements and New Widgets The web interface features a modern dark-blue theme, advanced table customization, input error validation, and a new Scatter Plot widget. Dashboards can now be exported and imported with pages and widgets in YAML, JSON, and XML formats, accompanied by new templates for Kubernetes, Proxmox VE, and Claude API.
Read alsoElon Musk's Terafab superfactory aims to produce 1 million wafers a monthWhat It Means for IT Professionals and Businesses The release of Zabbix 8.0 LTS marks a major milestone in infrastructure monitoring, combining traditional availability tracking with cutting-edge telemetry and artificial intelligence. The tenfold increase in metric processing efficiency allows enterprises to scale monitoring capabilities while minimizing CPU load.
With native APM, advanced event correlation via CEP, and AI integration through the MCP server, DevOps and system administrators gain powerful tools to ensure high availability and rapid incident response across complex modern infrastructures.
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