ManageEngine Applications Manager Features

As reported in 16 ManageEngine Applications Manager reviews. Provides users with real-time information on how individuals are using accessibility accomodation tools to interact with the site or application.

Based on 14 ManageEngine Applications Manager reviews. Tracks application and infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste.

Based on 15 ManageEngine Applications Manager reviews. Allow administrators to gain valuable insights related to end-user behavior.

Monitors web-content ensuring all assets and resources are displayed as intended, alerting administrators as issues arise. 14 reviewers of ManageEngine Applications Manager have provided feedback on this feature.

Alert over email, text, phone call, or more to multiple parties. This feature was mentioned in 14 ManageEngine Applications Manager reviews.

As reported in 14 ManageEngine Applications Manager reviews. Provides information related to unnecessary spending and unused resources relating to their digital offerings.

Integrates with a variety of IT systems.

Automatically alerts necessary parties via email, text, or call when issues are identified.

Generate sreports and dashboards highlighting trends and key metrics around issues and issue resolution.

As reported in 14 ManageEngine Applications Manager reviews. Consolidate IT systems monitoring overviews to a single pane for quick insights.

Based on 16 ManageEngine Applications Manager reviews. Offer pre-built and custom reporting and dashboards for quick insights into system states.

Set expected baselines for system functions. 15 reviewers of ManageEngine Applications Manager have provided feedback on this feature.

As reported in 15 ManageEngine Applications Manager reviews. Create and distribute detailed alerts via email, phone, and messaging for potential and active failures and errors.

Based on 15 ManageEngine Applications Manager reviews. Generates alerts for whenever a website or application goes down, experiences an error, makes a major change, or other events.

As reported in 14 ManageEngine Applications Manager reviews. Provides tools to track and measure application or website performance.

Based on 14 ManageEngine Applications Manager reviews. Track problems and manage resolutions related to end-user experience issues.

As reported in 15 ManageEngine Applications Manager reviews. Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste.

Captures and analyzes each transaction by users of a website or application in real time. 46 reviewers of ManageEngine Applications Manager have provided feedback on this feature.

Provides high-frequency metrics data. 46 reviewers of ManageEngine Applications Manager have provided feedback on this feature.

Based on 51 ManageEngine Applications Manager reviews. Monitors database functionality to verify baselines are maintained or exceeded.

As reported in 52 ManageEngine Applications Manager reviews. Sends alerts via email, text, phone, and more when an incident or issue occcurs.

As reported in 51 ManageEngine Applications Manager reviews. Captures logs for all database functions to garner greater information around issues or failures.

Monitors database query time for unusual execution times 52 reviewers of ManageEngine Applications Manager have provided feedback on this feature.

Manually and/or automatically generates reports covering database performance 50 reviewers of ManageEngine Applications Manager have provided feedback on this feature.

Follows database monitoring live information through graphical dashboards 48 reviewers of ManageEngine Applications Manager have provided feedback on this feature.

Utilizes artificial intelligence to analyze big data.

Utilizes machine learning to analyze big data.

Monitors logs and activities from a wide range of IT systems.

As reported in 15 ManageEngine Applications Manager reviews. Monitor usage and activity on a diverse array of IT systems, e.g., servers, databases, and networks.

Based on 15 ManageEngine Applications Manager reviews. Generate real-time high-level and/or in-depth analytics regarding monitored systems activity.

Generate insights into IT systems utilizing event metrics, logging, traces, and metadata. 16 reviewers of ManageEngine Applications Manager have provided feedback on this feature.

Based on 12 ManageEngine Applications Manager reviews. Integrate AI and/or machine learning capabilities to identify and address potential and active failures and errors.

Based on 44 ManageEngine Applications Manager reviews. Monitors and test apps to address issues before they affect end users.

Provides dynamic end-to-end maps of every single transaction. This feature was mentioned in 46 ManageEngine Applications Manager reviews.

As reported in 45 ManageEngine Applications Manager reviews. Automatically adjusts resources base on application usage.

Based on 47 ManageEngine Applications Manager reviews. Monitors cloud microservices, containers, kubernetes, and other cloud native software.

Based on 19 ManageEngine Applications Manager 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 19 ManageEngine Applications Manager reviews.

Detects anomalies in functionality, user accessibility, traffic flows, and tampering. This feature was mentioned in 19 ManageEngine Applications Manager reviews.

As reported in 20 ManageEngine Applications Manager reviews. Constantly monitors system to detect anomalies in real time.

Enables monitoring of security and compliance standards across cloud infrastructure.

Based on 47 ManageEngine Applications Manager reviews.

This feature was mentioned in 46 ManageEngine Applications Manager reviews.

49 reviewers of ManageEngine Applications Manager have provided feedback on this feature.

As reported in 45 ManageEngine Applications Manager reviews.

This feature was mentioned in 48 ManageEngine Applications Manager reviews.

As reported in 19 ManageEngine Applications Manager reviews. Actively monitor status of work stations either on-premise or remote.

Allows users to track and control cloud spend across cloud services and providers. 19 reviewers of ManageEngine Applications Manager have provided feedback on this feature.

As reported in 19 ManageEngine Applications Manager reviews. Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements.

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

Based on 19 ManageEngine Applications Manager reviews. Creates reports outlining resource, underutilization, cost trends, and/or functional overlap.

Based on 19 ManageEngine Applications Manager reviews. Presents information and analytics in a digestible, intuitive, and visually appealing way.

Based on 19 ManageEngine Applications Manager reviews. Ability to project spend based on contracts, usage trends, and predicted growth.

Directly identifies, or increases identification speed for, root causes for IT system issues.

Proactively identifies trends on IT systems that could lead to failures or errors.

Provides paths, suggestions, or other general assistance towards issue resolution.

As reported in 14 ManageEngine Applications Manager reviews. Presents information and analytics in a digestible, intuitive, and visually appealing way.

Based on 14 ManageEngine Applications Manager reviews. Clearly notifies users with relevant information and anomalies in a timely manner.

Based on 14 ManageEngine Applications Manager reviews. Creates reports outlining performance and other relevant metrics.

As reported in 14 ManageEngine Applications Manager reviews. Allows users to track and control resource allocation across multiple devices.

Based on 13 ManageEngine Applications Manager reviews. Automatically allocates resources to optimize loads across devices.

Based on 14 ManageEngine Applications Manager reviews. Sets a standard performance baseline by which to compare live hardware metrics.

Constantly monitors hardware to detect anomalies in real time. This feature was mentioned in 14 ManageEngine Applications Manager reviews.

Allows users to track and control resource spend and loads across multiple servers. 32 reviewers of ManageEngine Applications Manager have provided feedback on this feature.

As reported in 31 ManageEngine Applications Manager reviews. Automatically allocates resources to optimize loads across servers.

Based on 31 ManageEngine Applications Manager reviews. Sets a standard performance baseline by which to compare live server activity.

Constantly monitors server to detect anomalies in real time. 32 reviewers of ManageEngine Applications Manager have provided feedback on this feature.

As reported in 31 ManageEngine Applications Manager reviews. Ability of the monitoring software to immediately alert the user in case of any issue.

As reported in 31 ManageEngine Applications Manager reviews. Deploys remedial actions proactively. If this measure fails, then the user is alerted.

As reported in 33 ManageEngine Applications Manager reviews. Presents information and analytics in a digestible, intuitive, and visually appealing way.

Clearly notifies team members with relevant information and anomalies in a timely manner. This feature was mentioned in 33 ManageEngine Applications Manager reviews.

As reported in 31 ManageEngine Applications Manager reviews. Creates reports outlining load distribution, performance and other relevant metrics.

Based on 47 ManageEngine Applications Manager reviews.

As reported in 48 ManageEngine Applications Manager reviews.

This feature was mentioned in 45 ManageEngine Applications Manager reviews.

As reported in 31 ManageEngine Applications Manager reviews. Supports public, hybrid and private cloud environments.

Software can scale as the enterprises adds more servers to their portfolio virtually. This feature was mentioned in 31 ManageEngine Applications Manager reviews.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

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

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

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

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