Splunk AppDynamics Features

Provides users with real-time information on how individuals are using accessibility accomodation tools to interact with the site or application.

Tracks application and infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste.

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.

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

Provides information related to unnecessary spending and unused resources relating to their digital offerings.

As reported in 27 Splunk AppDynamics reviews. Integrates with a variety of IT systems.

Automatically alerts necessary parties via email, text, or call when issues are identified. This feature was mentioned in 26 Splunk AppDynamics reviews.

Generate sreports and dashboards highlighting trends and key metrics around issues and issue resolution. 27 reviewers of Splunk AppDynamics have provided feedback on this feature.

Consolidate IT systems monitoring overviews to a single pane for quick insights. 17 reviewers of Splunk AppDynamics have provided feedback on this feature.

Offer pre-built and custom reporting and dashboards for quick insights into system states. 17 reviewers of Splunk AppDynamics have provided feedback on this feature.

Set expected baselines for system functions. 17 reviewers of Splunk AppDynamics have provided feedback on this feature.

As reported in 17 Splunk AppDynamics reviews. Create and distribute detailed alerts via email, phone, and messaging for potential and active failures and errors.

Generates alerts for whenever a website or application goes down, experiences an error, makes a major change, or other events.

Provides tools to track and measure application or website performance.

Track problems and manage resolutions related to end-user experience issues.

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. This feature was mentioned in 26 Splunk AppDynamics reviews.

Based on 25 Splunk AppDynamics reviews. Provides high-frequency metrics data.

As reported in 22 Splunk AppDynamics 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 22 Splunk AppDynamics reviews.

Detects anomalies in functionality, user accessibility, traffic flows, and tampering. This feature was mentioned in 22 Splunk AppDynamics reviews.

Constantly monitors system to detect anomalies in real time. This feature was mentioned in 21 Splunk AppDynamics reviews.

Enables monitoring of security and compliance standards across cloud infrastructure.

Based on 10 Splunk AppDynamics reviews.

As reported in 10 Splunk AppDynamics reviews.

10 reviewers of Splunk AppDynamics have provided feedback on this feature.

As reported in 10 Splunk AppDynamics reviews.

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.

Based on 21 Splunk AppDynamics 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. This feature was mentioned in 20 Splunk AppDynamics reviews.

Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements. 22 reviewers of Splunk AppDynamics 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 22 Splunk AppDynamics reviews.

As reported in 22 Splunk AppDynamics reviews. Presents information and analytics in a digestible, intuitive, and visually appealing way.

Ability to project spend based on contracts, usage trends, and predicted growth. This feature was mentioned in 19 Splunk AppDynamics reviews.

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.

Based on 22 Splunk AppDynamics reviews. Utilizes artificial intelligence to analyze big data.

Utilizes machine learning to analyze big data. 22 reviewers of Splunk AppDynamics have provided feedback on this feature.

Monitors logs and activities from a wide range of IT systems. This feature was mentioned in 27 Splunk AppDynamics reviews.

Monitor usage and activity on a diverse array of IT systems, e.g., servers, databases, and networks. This feature was mentioned in 16 Splunk AppDynamics reviews.

Based on 17 Splunk AppDynamics 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. 17 reviewers of Splunk AppDynamics have provided feedback on this feature.

Integrate AI and/or machine learning capabilities to identify and address potential and active failures and errors. This feature was mentioned in 15 Splunk AppDynamics reviews.

Monitors and test apps to address issues before they affect end users. 26 reviewers of Splunk AppDynamics have provided feedback on this feature.

Provides dynamic end-to-end maps of every single transaction. This feature was mentioned in 23 Splunk AppDynamics reviews.

Automatically adjusts resources base on application usage. This feature was mentioned in 27 Splunk AppDynamics reviews.

As reported in 25 Splunk AppDynamics reviews. Monitors cloud microservices, containers, kubernetes, and other cloud native software.

As reported in 27 Splunk AppDynamics reviews. 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. 27 reviewers of Splunk AppDynamics have provided feedback on this feature.

Based on 25 Splunk AppDynamics reviews. 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.

Based on 11 Splunk AppDynamics reviews. How satisfied are you with this app/integration in the ServiceNow ecosystem?

As reported in 11 Splunk AppDynamics reviews. How valuable is it to be able to use this product with ServiceNow?

This feature was mentioned in 10 Splunk AppDynamics reviews.

This feature was mentioned in 10 Splunk AppDynamics reviews.

Based on 10 Splunk AppDynamics 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.

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

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

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

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