(41)
4.7 out of 5
Visit Website
Sponsored
Introducing G2.ai, the future of software buying.Try now
Splunk Infrastructure Monitoring
Claimed
This profile has been claimed by Splunk Infrastructure Monitoring, but it has limited features.
Do you work at Splunk Infrastructure Monitoring? Upgrade your plan to update branding and connect with profile visitors!
Do you work at Splunk Infrastructure Monitoring? Upgrade your plan to update branding and connect with profile visitors!
Splunk Infrastructure Monitoring Features
What are the features of Splunk Infrastructure Monitoring?
Visibility
- Dashboards and Visualizations
- Reporting
Splunk Infrastructure Monitoring Categories on G2
Filter for Features
Functionality
Performance Monitoring | Continuously monitors network performance across the entire span of a network. | Not enough data | |
Alerting | Sends alerts via pop-up notifications, texts, emails, or calls regarding network issues or failures. | Not enough data | |
Improvement Suggestions | Suggests potential remedies or improvements to slowdowns, errors, or failures. | Not enough data | |
Multi-Network Capability | Provides monitoring capabilities for multiple networks at once. | Not enough data | |
Diverse Systems Monitoring | Monitor usage and activity on a diverse array of IT systems, e.g., servers, databases, and networks. | Not enough data | |
Real-Time Analytics | Generate real-time high-level and/or in-depth analytics regarding monitored systems activity. | Not enough data | |
Observability | Generate insights into IT systems utilizing event metrics, logging, traces, and metadata. | Not enough data | |
AI/ML Integration | Integrate AI and/or machine learning capabilities to identify and address potential and active failures and errors. | Not enough data |
Management
Performance Baseline | Sets a standard performance baseline by which to compare live network activity. | Not enough data | |
Data Visualization | Charts or graphs live and historical network performance for quick status checking and analysis. | Not enough data | |
Path Analysis | Gives insights into which specific network paths are performing suboptimally. | Not enough data | |
Single Pane of Glass | Consolidate IT systems monitoring overviews to a single pane for quick insights. | Not enough data | |
Dashboards and Visualization | Offer pre-built and custom reporting and dashboards for quick insights into system states. | Not enough data | |
Performance Baselines | Set expected baselines for system functions. | Not enough data | |
Alerting | Create and distribute detailed alerts via email, phone, and messaging for potential and active failures and errors. | Not enough data |
Monitoring
Usage Monitoring | Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste. | Not enough data | |
Database Monitoring | Monitors performance and statistics related to memory, caches and connections. | Not enough data | |
API Monitoring | Detects anomalies in functionality, user accessibility, traffic flows, and tampering. | Not enough data | |
Real-Time Monitoring - Cloud Infrastructure Monitoring | Constantly monitors system to detect anomalies in real time. | Not enough data | |
Security and Compliance Monitoring | Enables monitoring of security and compliance standards across cloud infrastructure. | Not enough data | |
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 | Actively monitor status of work stations either on-premise or remote. | Not enough data | |
Multi-Cloud Management | Allows users to track and control cloud spend across cloud services and providers. | Not enough data | |
Automation | Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements. | Not enough data | |
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. | Not enough data | |
Dashboards and Visualizations | Presents information and analytics in a digestible, intuitive, and visually appealing way. | Not enough data | |
Spend Forecasting and Optimization | Ability to project spend based on contracts, usage trends, and predicted growth. | Not enough data | |
Track Trends | Allows user to track log trends. | Not enough data | |
Metric and Event Data | Analyze both metric and event data on the same platform regardless of source or structure | Not enough data | |
Search | Search your logs for troubleshooting and open-ended exploration of your data | Not enough data | |
Alerts | Create alerts based on search patterns, thresholds for specific log metrics, or other conditions | Not enough data | |
Live Tail | See your data, in real time, streaming into the system from multiple data sources | Not enough data | |
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 |
Visibility
Dashboards and Visualizations | Presents information and analytics in a digestible, intuitive, and visually appealing way. | Not enough data | |
Alerts and Notifications | Clearly notifies users with relevant information and anomalies in a timely manner. | Not enough data | |
Reporting | Creates reports outlining performance and other relevant metrics. | Not enough data | |
Dashboards and Visualizations | Presents information and analytics in a digestible, intuitive, and visually appealing way. | Not enough data | |
Alerts and Notifications | Clearly notifies users with relevant information and anomalies in a timely manner. | Not enough data | |
Reporting | Creates reports outlining log activity and relevant metrics. | Not enough data |
Monitoring and Management
Multi-Device Management | Allows users to track and control resource allocation across multiple devices. | Not enough data | |
Automation | Automatically allocates resources to optimize loads across devices. | Not enough data | |
Performance Baseline | Sets a standard performance baseline by which to compare live hardware metrics. | Not enough data | |
Real-Time Monitoring | Constantly monitors hardware to detect anomalies in real time. | Not enough data | |
Automation | Automatically allocates resources to address log anomalies. | Not enough data | |
Performance Baseline | Sets a standard performance baseline by which to compare log activity. | Not enough data | |
Real-Time Monitoring | Constantly monitors logs to detect anomalies in real time. | Not enough data | |
Multi-Server Management | Allows users to track and control resource spend and loads across multiple servers. | Not enough data | |
Automation | Automatically allocates resources to optimize loads across servers. | Not enough data | |
Performance Baseline | Sets a standard performance baseline by which to compare live server activity. | Not enough data | |
Real-Time Monitoring | Constantly monitors server to detect anomalies in real time. | Not enough data | |
Immediate Alert Notification | Ability of the monitoring software to immediately alert the user in case of any issue. | Not enough data | |
Proactive Server Monitoring Software | Deploys remedial actions proactively. If this measure fails, then the user is alerted. | Not enough data |
Visibility
Dashboards and Visualizations | Presents information and analytics in a digestible, intuitive, and visually appealing way. 10 reviewers of Splunk Infrastructure Monitoring have provided feedback on this feature. | 83% (Based on 10 reviews) | |
Alerts and Notifications | Clearly notifies team members with relevant information and anomalies in a timely manner. | Not enough data | |
Reporting | Creates reports outlining load distribution, performance and other relevant metrics. 10 reviewers of Splunk Infrastructure Monitoring have provided feedback on this feature. | 90% (Based on 10 reviews) |
Data Preparation
Data Sources | Automatically collect logs from all your services, applications, and platforms | Not enough data | |
Indexing | Automate the indexing of machine data that's critical to your operations | Not enough data | |
Data Blending | Mix and match data from apps, hosts, containers, services, networks, and more | Not enough data |
Visualization
Dashboards | Visualize log data on dashboards | Not enough data | |
Data Discovery | Drill down and explore data to discover new insights | Not enough data |
Cloud environment support
Server Monitoring For Cloud Deployments | Supports public, hybrid and private cloud environments. | Not enough data | |
Software Scaling | Software can scale as the enterprises adds more servers to their portfolio virtually. | Not enough data |
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 |
Issue Resolution
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 |
Monitoring - Network Monitoring
360-Degree Network Visibility | Offers full observability of all network environments, including on-premises, cloud, SD-WAN, WLAN, and edge computing. | Not enough data | |
Automated Network Discovery | Automatically detects and maps all network devices and architectures, reducing manual effort and improving visibility. | Not enough data | |
Real-Time Monitoring | Provides true real-time network monitoring to detect and resolve issues instantly, rather than relying on near-time data. | Not enough data |
Analytics - Network Monitoring
Predictive Performance Analytics | Uses AI-driven analysis of historical and real-time data to forecast network issues before they impact performance. | Not enough data | |
Packet & Flow Analysis | Combines packet and flow analysis techniques to provide a comprehensive view of network traffic and performance. | Not enough data |
Security - Network Monitoring
Encrypted Data Transmission | Ensures all monitored network data is securely encrypted both in transit and at rest. | Not enough data | |
Zero Trust and Identity Management | Supports integration with Zero Trust frameworks and identity management solutions to enhance network security. | Not enough data | |
Integrated Network Security | Unifies network performance monitoring with security intelligence to identify and mitigate threats in real-time. | Not enough data |
Network Performance - Network Monitoring
Dynamic Network Optimization | Continuously analyzes and adjusts network configurations to optimize performance and reliability. | Not enough data | |
Automated Tasks Routing | Automates routine network monitoring tasks, reducing operational overhead and human error. | Not enough data |
AI Automation - Network Monitoring
Machine Learning-Based Anomaly Detection | Uses machine learning to identify network anomalies, preventing security and performance issues before they escalate. | Not enough data | |
Self-Healing Networks | Automates corrective actions for common network issues, reducing downtime and manual intervention. | Not enough data | |
Predictive Network Maintenance | Leverages AI to anticipate hardware failures, capacity issues, and performance bottlenecks before they occur. | 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 - Network 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 - Log Analysis
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 - 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 - Hardware Monitoring
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 | |
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 - Log 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 - 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 |
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 |
Explore More
Hunting for software insights?
With over 2.5 million reviews, we can provide the specific details that help you make an informed software buying decision for your business. Finding the right product is important, let us help.
