FusionReactor APM Features

Monitors database functionality to verify baselines are maintained or exceeded. This feature was mentioned in 66 FusionReactor APM reviews.

Sends alerts via email, text, phone, and more when an incident or issue occcurs. 56 reviewers of FusionReactor APM have provided feedback on this feature.

As reported in 63 FusionReactor APM reviews. Captures logs for all database functions to garner greater information around issues or failures.

Based on 64 FusionReactor APM reviews. Monitors database query time for unusual execution times

Manually and/or automatically generates reports covering database performance This feature was mentioned in 59 FusionReactor APM reviews.

Based on 65 FusionReactor APM reviews. Follows database monitoring live information through graphical dashboards

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.

Monitor usage and activity on a diverse array of IT systems, e.g., servers, databases, and networks. 13 reviewers of FusionReactor APM have provided feedback on this feature.

Based on 16 FusionReactor APM reviews. Generate real-time high-level and/or in-depth analytics regarding monitored systems activity.

Based on 16 FusionReactor APM 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.

Based on 30 FusionReactor APM 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 38 FusionReactor APM reviews.

As reported in 29 FusionReactor APM reviews. Automatically adjusts resources base on application usage.

Monitors cloud microservices, containers, kubernetes, and other cloud native software. 33 reviewers of FusionReactor APM have provided feedback on this feature.

Generate real-time depth analytics utilizing event metrics, logging and metadata.

Use custom or pre-built tests for buisness rules. to ensure data quality.

Involves automation capabilities to identify and track issues, failed operations by looking at historical trends.

Complete visibility of the data pipeline, and immediately notifies the data team if any issues. Ensures cross stack visbility.

As reported in 16 FusionReactor APM reviews. Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste.

As reported in 16 FusionReactor APM reviews. Monitors performance and statistics related to memory, caches and connections.

Detects anomalies in functionality, user accessibility, traffic flows, and tampering. 15 reviewers of FusionReactor APM have provided feedback on this feature.

As reported in 15 FusionReactor APM reviews. Constantly monitors system to detect anomalies in real time.

Enables monitoring of security and compliance standards across cloud infrastructure.

46 reviewers of FusionReactor APM have provided feedback on this feature.

As reported in 52 FusionReactor APM reviews.

As reported in 52 FusionReactor APM reviews.

As reported in 34 FusionReactor APM reviews.

41 reviewers of FusionReactor APM have provided feedback on this feature.

Optimizes resource allocation.

Consistently monitors processes for applications and IT infrastructure to detect anomalies in real-time.

Sets up standard performance baseline to compare live container activities.

Traces connections between different containerized environments and detects anomalies in functionality, user accessibility, traffic flows, and tampering.

Actively monitor status of work stations either on-premise or remote. This feature was mentioned in 17 FusionReactor APM reviews.

Allows users to track and control cloud spend across cloud services and providers. This feature was mentioned in 13 FusionReactor APM reviews.

Based on 15 FusionReactor APM 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 17 FusionReactor APM reviews. Creates reports outlining resource, underutilization, cost trends, and/or functional overlap.

Based on 17 FusionReactor APM reviews. Presents information and analytics in a digestible, intuitive, and visually appealing way.

As reported in 14 FusionReactor APM reviews. Ability to project spend based on contracts, usage trends, and predicted growth.

Allows users to search logs for troubleshooting and open-ended exploration of data.

Creates reports outlining resource, underutilization, cost trends, and/or functional overlap.

Presents information and analytics in a digestible, intuitive, and visually appealing way.

Allows users to track log trends.

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.

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

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

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

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 FusionReactor APM reviews. Consolidate IT systems monitoring overviews to a single pane for quick insights.

As reported in 17 FusionReactor APM reviews. Offer pre-built and custom reporting and dashboards for quick insights into system states.

As reported in 15 FusionReactor APM reviews. Set expected baselines for system functions.

Create and distribute detailed alerts via email, phone, and messaging for potential and active failures and errors. This feature was mentioned in 15 FusionReactor APM reviews.

Identify the different type of anomalies and receive alerts.

The data observability environment can be viewed from a single dashboard.

Provides immediate alerts for any anomalies or expected events.

Establishes lineage for the data pipeline - from data warehouse to the data user.

Support integrations with various business applications which support different data processes. Also, integrate with apps to provide alerts.

Based on 61 FusionReactor APM reviews. Presents information and analytics in a digestible, intuitive, and visually appealing way.

Based on 53 FusionReactor APM reviews. Clearly notifies team members with relevant information and anomalies in a timely manner.

Allows users to track and control resource spend and loads across multiple servers. 43 reviewers of FusionReactor APM have provided feedback on this feature.

Constantly monitors server to detect anomalies in real time. This feature was mentioned in 58 FusionReactor APM reviews.

As reported in 31 FusionReactor APM reviews. Ability of the monitoring software to immediately alert the user in case of any issue.

Deploys remedial actions proactively. If this measure fails, then the user is alerted. This feature was mentioned in 32 FusionReactor APM reviews.

This feature was mentioned in 53 FusionReactor APM reviews.

Based on 47 FusionReactor APM reviews.

47 reviewers of FusionReactor APM have provided feedback on this feature.

Captures and analyzes each transaction by users of a website or application in real time. This feature was mentioned in 41 FusionReactor APM reviews.

Based on 50 FusionReactor APM reviews. Provides high-frequency metrics data.

As reported in 24 FusionReactor APM 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 25 FusionReactor APM reviews.

Alerts over email, text, phone call, or more to multiple parties.

Provides information related to unnecessary spending and unused resources.

Gives alerts when incidents arise.

Diagnoses and resolves incidents without the need for human interaction.

Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Allows users to generate text based on a text prompt.

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.

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

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

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

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

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