Zabbix Features

As reported in 25 Zabbix reviews. Monitors database functionality to verify baselines are maintained or exceeded.

Sends alerts via email, text, phone, and more when an incident or issue occcurs. This feature was mentioned in 25 Zabbix reviews.

Captures logs for all database functions to garner greater information around issues or failures. This feature was mentioned in 24 Zabbix reviews.

Monitors database query time for unusual execution times 25 reviewers of Zabbix have provided feedback on this feature.

As reported in 25 Zabbix reviews. Manually and/or automatically generates reports covering database performance

Follows database monitoring live information through graphical dashboards 25 reviewers of Zabbix have provided feedback on this feature.

Continuously monitors network performance across the entire span of a network. 47 reviewers of Zabbix have provided feedback on this feature.

Sends alerts via pop-up notifications, texts, emails, or calls regarding network issues or failures. This feature was mentioned in 48 Zabbix reviews.

Suggests potential remedies or improvements to slowdowns, errors, or failures. This feature was mentioned in 40 Zabbix reviews.

Provides monitoring capabilities for multiple networks at once. This feature was mentioned in 44 Zabbix reviews.

Based on 20 Zabbix reviews. Monitor usage and activity on a diverse array of IT systems, e.g., servers, databases, and networks.

Generate real-time high-level and/or in-depth analytics regarding monitored systems activity. 20 reviewers of Zabbix have provided feedback on this feature.

Based on 19 Zabbix reviews. Generate insights into IT systems utilizing event metrics, logging, traces, and metadata.

Integrate AI and/or machine learning capabilities to identify and address potential and active failures and errors.

As reported in 13 Zabbix reviews. Monitors and test apps to address issues before they affect end users.

Provides dynamic end-to-end maps of every single transaction. 12 reviewers of Zabbix have provided feedback on this feature.

Based on 14 Zabbix reviews. Monitors cloud microservices, containers, kubernetes, and other cloud native software.

Sets a standard performance baseline by which to compare live network activity. This feature was mentioned in 45 Zabbix reviews.

As reported in 47 Zabbix reviews. Charts or graphs live and historical network performance for quick status checking and analysis.

Gives insights into which specific network paths are performing suboptimally. This feature was mentioned in 42 Zabbix reviews.

Based on 20 Zabbix reviews. Consolidate IT systems monitoring overviews to a single pane for quick insights.

Based on 22 Zabbix reviews. Offer pre-built and custom reporting and dashboards for quick insights into system states.

Set expected baselines for system functions. This feature was mentioned in 20 Zabbix reviews.

Create and distribute detailed alerts via email, phone, and messaging for potential and active failures and errors. This feature was mentioned in 22 Zabbix reviews.

As reported in 33 Zabbix reviews. Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste.

Monitors performance and statistics related to memory, caches and connections. This feature was mentioned in 29 Zabbix reviews.

Detects anomalies in functionality, user accessibility, traffic flows, and tampering. 30 reviewers of Zabbix have provided feedback on this feature.

Constantly monitors system to detect anomalies in real time. This feature was mentioned in 33 Zabbix reviews.

Enables monitoring of security and compliance standards across cloud infrastructure.

Based on 13 Zabbix reviews.

This feature was mentioned in 14 Zabbix reviews.

Based on 14 Zabbix reviews.

Based on 15 Zabbix reviews.

Actively monitor status of work stations either on-premise or remote. 31 reviewers of Zabbix have provided feedback on this feature.

Allows users to track and control cloud spend across cloud services and providers. 30 reviewers of Zabbix have provided feedback on this feature.

Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements. 28 reviewers of Zabbix have provided feedback on this feature.

Automatically scales resources based on demand and optimizes for performance and cost.

Creates reports outlining resource, underutilization, cost trends, and/or functional overlap. This feature was mentioned in 32 Zabbix reviews.

Presents information and analytics in a digestible, intuitive, and visually appealing way. This feature was mentioned in 33 Zabbix reviews.

Ability to project spend based on contracts, usage trends, and predicted growth. This feature was mentioned in 25 Zabbix reviews.

Based on 33 Zabbix reviews. Presents information and analytics in a digestible, intuitive, and visually appealing way.

As reported in 33 Zabbix reviews. Clearly notifies users with relevant information and anomalies in a timely manner.

Creates reports outlining performance and other relevant metrics. This feature was mentioned in 32 Zabbix reviews.

Based on 29 Zabbix reviews. Allows users to track and control resource allocation across multiple devices.

Automatically allocates resources to optimize loads across devices. 29 reviewers of Zabbix have provided feedback on this feature.

Sets a standard performance baseline by which to compare live hardware metrics. 30 reviewers of Zabbix have provided feedback on this feature.

Constantly monitors hardware to detect anomalies in real time. 31 reviewers of Zabbix have provided feedback on this feature.

Based on 42 Zabbix reviews. Allows users to track and control resource spend and loads across multiple servers.

Based on 38 Zabbix reviews. Automatically allocates resources to optimize loads across servers.

As reported in 38 Zabbix reviews. Sets a standard performance baseline by which to compare live server activity.

Constantly monitors server to detect anomalies in real time. 44 reviewers of Zabbix have provided feedback on this feature.

Ability of the monitoring software to immediately alert the user in case of any issue. 27 reviewers of Zabbix have provided feedback on this feature.

Deploys remedial actions proactively. If this measure fails, then the user is alerted. This feature was mentioned in 25 Zabbix reviews.

Presents information and analytics in a digestible, intuitive, and visually appealing way. 43 reviewers of Zabbix have provided feedback on this feature.

Based on 43 Zabbix reviews. Clearly notifies team members with relevant information and anomalies in a timely manner.

Creates reports outlining load distribution, performance and other relevant metrics. 42 reviewers of Zabbix have provided feedback on this feature.

15 reviewers of Zabbix have provided feedback on this feature.

Based on 15 Zabbix reviews.

12 reviewers of Zabbix have provided feedback on this feature.

Provides high-frequency metrics data. 12 reviewers of Zabbix have provided feedback on this feature.

Supports public, hybrid and private cloud environments. This feature was mentioned in 24 Zabbix reviews.

Software can scale as the enterprises adds more servers to their portfolio virtually. 22 reviewers of Zabbix have provided feedback on this feature.

Offers full observability of all network environments, including on-premises, cloud, SD-WAN, WLAN, and edge computing.

Automatically detects and maps all network devices and architectures, reducing manual effort and improving visibility.

Provides true real-time network monitoring to detect and resolve issues instantly, rather than relying on near-time data.

Uses AI-driven analysis of historical and real-time data to forecast network issues before they impact performance.

Combines packet and flow analysis techniques to provide a comprehensive view of network traffic and performance.

Ensures all monitored network data is securely encrypted both in transit and at rest.

Supports integration with Zero Trust frameworks and identity management solutions to enhance network security.

Unifies network performance monitoring with security intelligence to identify and mitigate threats in real-time.

Continuously analyzes and adjusts network configurations to optimize performance and reliability.

Automates routine network monitoring tasks, reducing operational overhead and human error.

Uses machine learning to identify network anomalies, preventing security and performance issues before they escalate.

Automates corrective actions for common network issues, reducing downtime and manual intervention.

Leverages AI to anticipate hardware failures, capacity issues, and performance bottlenecks before they occur.

Ingests and processes multiple telemetry types, such as logs, metrics, and traces.

Supports ingestion and standardization of observability data via OpenTelemetry protocol.

Displays relationships between services to visualize system dependencies.

Provides a consolidated view of system-wide telemetry in a single dashboard.

Allows users to explore and visualize distributed traces and span relationships.

Correlates logs, metrics, and traces to surface performance patterns and root causes.

Identifies likely causes of issues using system insights and correlation logic.

Automatically alerts users to anomalies or critical events using contextual data.

Provides observability into containerized workloads and Kubernetes clusters.

Enables observability across public cloud, private cloud, and on-prem environments.

Forecasts future system issues based on historical performance trends.

Summarizes incident root causes and potential fixes using generative AI.

Uses machine learning to detect unusual behavior across telemetry data.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Utilizes machine learning to automatically detect and alert on unusual patterns in infrastructure metrics.

Provides AI-generated insights and actionable recommendations to optimize resource performance and cost.

Capability to perform complex tasks without constant human input

Ability to break down and plan multi-step processes

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives