(59)
4.3 out of 5
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Splunk AppDynamics
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Splunk AppDynamics Features
What are the features of Splunk AppDynamics?
Management
- System Integration
- Alerting
- Reporting
Performance
- Real User Monitoring (RUM)
- Second by Second Metrics
Monitoring
- API Monitoring
Administration
- Automation
Functionality
- Systems Monitoring
- Synthetic Monitoring
- Dynamic Transaction Mapping
- Load Balancing
- Cloud Observability
Issue Resolution
- Root Cause Identification
- Proactive Identification
- Resolution Guidance
Splunk AppDynamics Categories on G2
Filter for Features
Experience
Real-Time Monitoring | Provides users with real-time information on how individuals are using accessibility accomodation tools to interact with the site or application. | Not enough data | |
Session Replay | Tracks application and infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste. | Not enough data | |
Behavioral Analysis | Allow administrators to gain valuable insights related to end-user behavior. | Not enough data |
Management
Content Management | Monitors web-content ensuring all assets and resources are displayed as intended, alerting administrators as issues arise. | Not enough data | |
Alerts | Alert over email, text, phone call, or more to multiple parties. | Not enough data | |
Budget Analysis | Provides information related to unnecessary spending and unused resources relating to their digital offerings. | Not enough data | |
System Integration | Based on 27 Splunk AppDynamics reviews. Integrates with a variety of IT systems. | 89% (Based on 27 reviews) | |
Alerting | Automatically alerts necessary parties via email, text, or call when issues are identified. This feature was mentioned in 26 Splunk AppDynamics reviews. | 92% (Based on 26 reviews) | |
Reporting | As reported in 27 Splunk AppDynamics reviews. Generate sreports and dashboards highlighting trends and key metrics around issues and issue resolution. | 94% (Based on 27 reviews) | |
Single Pane of Glass | Based on 17 Splunk AppDynamics reviews. Consolidate IT systems monitoring overviews to a single pane for quick insights. | 85% (Based on 17 reviews) | |
Dashboards and Visualization | Offer pre-built and custom reporting and dashboards for quick insights into system states. This feature was mentioned in 17 Splunk AppDynamics reviews. | 86% (Based on 17 reviews) | |
Performance Baselines | Set expected baselines for system functions. This feature was mentioned in 17 Splunk AppDynamics reviews. | 89% (Based on 17 reviews) | |
Alerting | Based on 17 Splunk AppDynamics reviews. Create and distribute detailed alerts via email, phone, and messaging for potential and active failures and errors. | 93% (Based on 17 reviews) |
Performance
Uptime Monitoring | Generates alerts for whenever a website or application goes down, experiences an error, makes a major change, or other events. | Not enough data | |
Performance Monitoring | Provides tools to track and measure application or website performance. | Not enough data | |
Issue Tracking | See feature definition | Track problems and manage resolutions related to end-user experience issues. | Not enough data |
Resource Monitoring | Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste. | Not enough data | |
Real User Monitoring (RUM) | As reported in 26 Splunk AppDynamics reviews. Captures and analyzes each transaction by users of a website or application in real time. | 89% (Based on 26 reviews) | |
Second by Second Metrics | Based on 25 Splunk AppDynamics reviews. Provides high-frequency metrics data. | 85% (Based on 25 reviews) |
Monitoring
Usage Monitoring | Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste. This feature was mentioned in 22 Splunk AppDynamics reviews. | 88% (Based on 22 reviews) | |
Database Monitoring | Based on 22 Splunk AppDynamics reviews. Monitors performance and statistics related to memory, caches and connections. | 91% (Based on 22 reviews) | |
API Monitoring | Based on 22 Splunk AppDynamics reviews. Detects anomalies in functionality, user accessibility, traffic flows, and tampering. | 89% (Based on 22 reviews) | |
Real-Time Monitoring - Cloud Infrastructure Monitoring | Constantly monitors system to detect anomalies in real time. This feature was mentioned in 21 Splunk AppDynamics reviews. | 87% (Based on 21 reviews) | |
Security and Compliance Monitoring | Enables monitoring of security and compliance standards across cloud infrastructure. | Not enough data | |
Performance Baselines | As reported in 10 Splunk AppDynamics reviews. | 92% (Based on 10 reviews) | |
Performance Analysis | 10 reviewers of Splunk AppDynamics have provided feedback on this feature. | 97% (Based on 10 reviews) | |
Performance Monitoring | As reported in 10 Splunk AppDynamics reviews. | 97% (Based on 10 reviews) | |
AI/ML Assistance | Not enough data | ||
Multi-System Monitoring | As reported in 10 Splunk AppDynamics reviews. | 88% (Based on 10 reviews) | |
Resource utilization | Optimizes resource allocation. | Not enough data | |
Real-time monitoring | Consistently monitors processes for applications and IT infrastructure to detect anomalies in real-time. | Not enough data | |
Performance baseline | Sets up standard performance baseline to compare live container activities. | Not enough data | |
API monitoring | Traces connections between different containerized environments and detects anomalies in functionality, user accessibility, traffic flows, and tampering. | Not enough data |
Administration
Activity Monitoring | Based on 21 Splunk AppDynamics reviews. Actively monitor status of work stations either on-premise or remote. | 90% (Based on 21 reviews) | |
Multi-Cloud Management | Allows users to track and control cloud spend across cloud services and providers. This feature was mentioned in 20 Splunk AppDynamics reviews. | 85% (Based on 20 reviews) | |
Automation | As reported in 22 Splunk AppDynamics reviews. Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements. | 85% (Based on 22 reviews) | |
Auto-Scaling & Resource Optimization | Automatically scales resources based on demand and optimizes for performance and cost. | Not enough data |
Analysis
Reporting | Creates reports outlining resource, underutilization, cost trends, and/or functional overlap. This feature was mentioned in 22 Splunk AppDynamics reviews. | 89% (Based on 22 reviews) | |
Dashboards and Visualizations | Presents information and analytics in a digestible, intuitive, and visually appealing way. This feature was mentioned in 22 Splunk AppDynamics reviews. | 89% (Based on 22 reviews) | |
Spend Forecasting and Optimization | Ability to project spend based on contracts, usage trends, and predicted growth. 19 reviewers of Splunk AppDynamics have provided feedback on this feature. | 87% (Based on 19 reviews) | |
Search | Allows users to search logs for troubleshooting and open-ended exploration of data. | Not enough data | |
Reporting | Creates reports outlining resource, underutilization, cost trends, and/or functional overlap. | Not enough data | |
Visualization | Presents information and analytics in a digestible, intuitive, and visually appealing way. | Not enough data | |
Track trends | Allows users to track log trends. | Not enough data |
Functionality
Artificial Intelligence | As reported in 22 Splunk AppDynamics reviews. Utilizes artificial intelligence to analyze big data. | 83% (Based on 22 reviews) | |
Machine Learning | Utilizes machine learning to analyze big data. 22 reviewers of Splunk AppDynamics have provided feedback on this feature. | 83% (Based on 22 reviews) | |
Systems Monitoring | Based on 27 Splunk AppDynamics reviews. Monitors logs and activities from a wide range of IT systems. | 92% (Based on 27 reviews) | |
Diverse Systems Monitoring | As reported in 16 Splunk AppDynamics reviews. Monitor usage and activity on a diverse array of IT systems, e.g., servers, databases, and networks. | 93% (Based on 16 reviews) | |
Real-Time Analytics | Generate real-time high-level and/or in-depth analytics regarding monitored systems activity. This feature was mentioned in 17 Splunk AppDynamics reviews. | 89% (Based on 17 reviews) | |
Observability | Based on 17 Splunk AppDynamics reviews. Generate insights into IT systems utilizing event metrics, logging, traces, and metadata. | 89% (Based on 17 reviews) | |
AI/ML Integration | 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. | 82% (Based on 15 reviews) | |
Synthetic Monitoring | Monitors and test apps to address issues before they affect end users. This feature was mentioned in 26 Splunk AppDynamics reviews. | 88% (Based on 26 reviews) | |
Dynamic Transaction Mapping | Provides dynamic end-to-end maps of every single transaction. 23 reviewers of Splunk AppDynamics have provided feedback on this feature. | 89% (Based on 23 reviews) | |
Load Balancing | Automatically adjusts resources base on application usage. 27 reviewers of Splunk AppDynamics have provided feedback on this feature. | 85% (Based on 27 reviews) | |
Cloud Observability | Based on 25 Splunk AppDynamics reviews. Monitors cloud microservices, containers, kubernetes, and other cloud native software. | 85% (Based on 25 reviews) |
Issue Resolution
Root Cause Identification | As reported in 27 Splunk AppDynamics reviews. Directly identifies, or increases identification speed for, root causes for IT system issues. | 91% (Based on 27 reviews) | |
Proactive Identification | Based on 27 Splunk AppDynamics reviews. Proactively identifies trends on IT systems that could lead to failures or errors. | 88% (Based on 27 reviews) | |
Resolution Guidance | As reported in 25 Splunk AppDynamics reviews. Provides paths, suggestions, or other general assistance towards issue resolution. | 88% (Based on 25 reviews) | |
Root cause identification | Directly identifies, or increases identification speed for, root causes for container issues. | Not enough data | |
Resolution guidance | Provides paths, suggestions, or other general assistance towards issue resolution. | Not enough data | |
Proactive identification | Proactively identifies trends on container systems that could lead to failures or errors. | Not enough data |
ServiceNow Apps
ServiceNow Integration | How satisfied are you with this app/integration in the ServiceNow ecosystem? 11 reviewers of Splunk AppDynamics have provided feedback on this feature. | 86% (Based on 11 reviews) | |
Value | As reported in 11 Splunk AppDynamics reviews. How valuable is it to be able to use this product with ServiceNow? | 88% (Based on 11 reviews) |
Response
Dashboards and Visualization | This feature was mentioned in 10 Splunk AppDynamics reviews. | 97% (Based on 10 reviews) | |
Incident Alerting | This feature was mentioned in 10 Splunk AppDynamics reviews. | 88% (Based on 10 reviews) | |
Root Cause Analysis (RCA) | This feature was mentioned in 10 Splunk AppDynamics reviews. | 93% (Based on 10 reviews) |
Alerts management
Multi-mode alerts | Alerts over email, text, phone call, or more to multiple parties. | Not enough data | |
Opimization alerts | Provides information related to unnecessary spending and unused resources. | Not enough data | |
Incident alerts | Gives alerts when incidents arise. | Not enough data |
Automation
Resolution automation | Diagnoses and resolves incidents without the need for human interaction. | Not enough data | |
Automation | Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements. | Not enough data |
Generative AI
AI Text Generation | Allows users to generate text based on a text prompt. | Not enough data | |
AI Text Summarization | Condenses long documents or text into a brief summary. | Not enough data |
Telemetry Collection & Ingestion - Observability
Multi-Telemetry Ingestion | Ingests and processes multiple telemetry types, such as logs, metrics, and traces. | Not enough data | |
OpenTelemetry Support | Supports ingestion and standardization of observability data via OpenTelemetry protocol. | Not enough data |
Visualization & Dashboards - Observability
Service Dependency Mapping | Displays relationships between services to visualize system dependencies. | Not enough data | |
Unified Dashboard | Provides a consolidated view of system-wide telemetry in a single dashboard. | Not enough data | |
Trace Visualization | Allows users to explore and visualize distributed traces and span relationships. | Not enough data |
Correlation & Root Cause Analysis - Observability
Cross-Telemetry Correlation | Correlates logs, metrics, and traces to surface performance patterns and root causes. | Not enough data | |
Root Cause Detection | Identifies likely causes of issues using system insights and correlation logic. | Not enough data | |
Intelligent Alerting | Automatically alerts users to anomalies or critical events using contextual data. | Not enough data |
Scalability & Ecosystem Integration - Observability
Kubernetes Monitoring | Provides observability into containerized workloads and Kubernetes clusters. | Not enough data | |
Hybrid/Multi-Cloud Support | Enables observability across public cloud, private cloud, and on-prem environments. | Not enough data |
AI Features - Observability
Predictive Insights | Forecasts future system issues based on historical performance trends. | Not enough data | |
AI-Generated Incident Summaries | Summarizes incident root causes and potential fixes using generative AI. | Not enough data | |
AI Anomaly Detection | Uses machine learning to detect unusual behavior across telemetry data. | Not enough data |
Agentic AI - Application Performance Monitoring (APM)
Autonomous Task Execution | Capability to perform complex tasks without constant human input | Not enough data | |
Cross-system Integration | Works across multiple software systems or databases | Not enough data | |
Adaptive Learning | Improves performance based on feedback and experience | Not enough data | |
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data | |
Decision Making | Makes informed choices based on available data and objectives | Not enough data |
Agentic AI - Cloud Infrastructure Monitoring
Multi-step Planning | Ability to break down and plan multi-step processes | Not enough data | |
Cross-system Integration | Works across multiple software systems or databases | Not enough data | |
Adaptive Learning | Improves performance based on feedback and experience | Not enough data | |
Natural Language Interaction | Engages in human-like conversation for task delegation | Not enough data | |
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data | |
Decision Making | Makes informed choices based on available data and objectives | Not enough data |
Agentic AI - AIOps Platforms
Autonomous Task Execution | Capability to perform complex tasks without constant human input | Not enough data | |
Multi-step Planning | Ability to break down and plan multi-step processes | Not enough data | |
Cross-system Integration | Works across multiple software systems or databases | Not enough data | |
Adaptive Learning | Improves performance based on feedback and experience | Not enough data | |
Natural Language Interaction | Engages in human-like conversation for task delegation | Not enough data | |
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data | |
Decision Making | Makes informed choices based on available data and objectives | Not enough data |
Agentic AI - Enterprise Monitoring
Autonomous Task Execution | Capability to perform complex tasks without constant human input | Not enough data | |
Multi-step Planning | Ability to break down and plan multi-step processes | Not enough data | |
Cross-system Integration | Works across multiple software systems or databases | Not enough data | |
Adaptive Learning | Improves performance based on feedback and experience | Not enough data | |
Natural Language Interaction | Engages in human-like conversation for task delegation | Not enough data | |
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data | |
Decision Making | Makes informed choices based on available data and objectives | Not enough data |
Agentic AI - Digital Experience Monitoring (DEM)
Autonomous Task Execution | Capability to perform complex tasks without constant human input | Not enough data | |
Multi-step Planning | Ability to break down and plan multi-step processes | Not enough data | |
Cross-system Integration | Works across multiple software systems or databases | Not enough data | |
Adaptive Learning | Improves performance based on feedback and experience | Not enough data | |
Natural Language Interaction | Engages in human-like conversation for task delegation | Not enough data | |
Proactive Assistance | Anticipates needs and offers suggestions without prompting | Not enough data | |
Decision Making | Makes informed choices based on available data and objectives | Not enough data |
AI Automation - Cloud Infrastructure Monitoring
AI-Powered Anomaly Detection | Utilizes machine learning to automatically detect and alert on unusual patterns in infrastructure metrics. | Not enough data | |
AI-Driven Insight Recommendations | Provides AI-generated insights and actionable recommendations to optimize resource performance and cost. | Not enough data |
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