(41)
4.7 out of 5
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Logz.io
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Logz.io Features
What are the features of Logz.io?
Analysis
- Track Trends
- Detect Anomalies
- Metric and Event Data
- Search
- Alerts
- Live Tail
Visibility
- Dashboards and Visualizations
- Alerts and Notifications
- Reporting
Data Preparation
- Data Sources
- Indexing
- Automated Tagging
- Data Blending
Visualization
- Dashboards
- Data Discovery
Logz.io Categories on G2
Filter for Features
Network Management
Activity Monitoring | Based on 24 Logz.io reviews and verified by the G2 Product R&D team. Documents the actions from endpoints within a network. Alerts users of incidents and abnormal activities and documents the access point. | 88% (Based on 24 reviews) | |
Asset Management | Based on 13 Logz.io reviews and verified by the G2 Product R&D team. Keeps records of each network asset and its activity. Discovers new assets accessing the network. | 83% (Based on 13 reviews) | |
Log Management | Based on 26 Logz.io reviews and verified by the G2 Product R&D team. Provides security information and stores the data in a secure repository for reference. | 87% (Based on 26 reviews) |
Incident Management
Event Management | Based on 25 Logz.io reviews and verified by the G2 Product R&D team. Alerts users of incidents and allows users to intervene manually or triggers an automated response. | 87% (Based on 25 reviews) | |
Automated Response | Based on 20 Logz.io reviews and verified by the G2 Product R&D team. Reduces time spent remedying issues manually. Resolves common network security incidents quickly. | 84% (Based on 20 reviews) | |
Incident Reporting | Based on 21 Logz.io reviews and verified by the G2 Product R&D team. Documents cases of abnormal activity and compromised systems. | 88% (Based on 21 reviews) |
Security Intelligence
Threat Intelligence | Based on 22 Logz.io reviews and verified by the G2 Product R&D team. Stores information related to common threats and how to resolve them once incidents occur. | 88% (Based on 22 reviews) | |
Vulnerability Assessment | Based on 15 Logz.io reviews and verified by the G2 Product R&D team. Analyzes your existing network and IT infrastructure to outline access points that can be easily compromised. | 89% (Based on 15 reviews) | |
Advanced Analytics | Based on 22 Logz.io reviews and verified by the G2 Product R&D team. Allows users to customize analytics with granulized metrics that are pertinent to your specific resources. | 83% (Based on 22 reviews) | |
Data Examination | Based on 24 Logz.io reviews and verified by the G2 Product R&D team. Allows users to search databases and incident logs to gain insights on vulnerabilities and incidents. | 85% (Based on 24 reviews) |
Monitoring
Usage Monitoring | Based on 17 Logz.io reviews. Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste. | 86% (Based on 17 reviews) | |
Database Monitoring | Monitors performance and statistics related to memory, caches and connections. This feature was mentioned in 15 Logz.io reviews. | 83% (Based on 15 reviews) | |
API Monitoring | Detects anomalies in functionality, user accessibility, traffic flows, and tampering. 16 reviewers of Logz.io have provided feedback on this feature. | 85% (Based on 16 reviews) | |
Real-Time Monitoring - Cloud Infrastructure Monitoring | Based on 18 Logz.io reviews. Constantly monitors system to detect anomalies in real time. | 83% (Based on 18 reviews) | |
Security and Compliance Monitoring | Enables monitoring of security and compliance standards across cloud infrastructure. | Not enough data | |
Performance Baselines | This feature was mentioned in 17 Logz.io reviews. | 78% (Based on 17 reviews) | |
Performance Analysis | As reported in 17 Logz.io reviews. | 80% (Based on 17 reviews) | |
Performance Monitoring | Based on 17 Logz.io reviews. | 77% (Based on 17 reviews) | |
AI/ML Assistance | As reported in 16 Logz.io reviews. | 73% (Based on 16 reviews) | |
Multi-System Monitoring | As reported in 16 Logz.io reviews. | 80% (Based on 16 reviews) |
Administration
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 17 Logz.io reviews. | 87% (Based on 17 reviews) | |
Dashboards and Visualizations | As reported in 18 Logz.io reviews. Presents information and analytics in a digestible, intuitive, and visually appealing way. | 84% (Based on 18 reviews) | |
Spend Forecasting and Optimization | Ability to project spend based on contracts, usage trends, and predicted growth. This feature was mentioned in 14 Logz.io reviews. | 76% (Based on 14 reviews) | |
Track Trends | Based on 46 Logz.io reviews and verified by the G2 Product R&D team. Allows user to track log trends. | 82% (Based on 46 reviews) | |
Detect Anomalies | Based on 47 Logz.io reviews and verified by the G2 Product R&D team. Identify and predict anomalies in real-time with outlier detection and uncover root-causes | 79% (Based on 47 reviews) | |
Metric and Event Data | Based on 42 Logz.io reviews and verified by the G2 Product R&D team. Analyze both metric and event data on the same platform regardless of source or structure | 83% (Based on 42 reviews) | |
Search | Based on 50 Logz.io reviews and verified by the G2 Product R&D team. Search your logs for troubleshooting and open-ended exploration of your data | 88% (Based on 50 reviews) | |
Alerts | Based on 49 Logz.io reviews and verified by the G2 Product R&D team. Create alerts based on search patterns, thresholds for specific log metrics, or other conditions | 88% (Based on 49 reviews) | |
Live Tail | Based on 41 Logz.io reviews and verified by the G2 Product R&D team. See your data, in real time, streaming into the system from multiple data sources | 85% (Based on 41 reviews) |
Visibility
Dashboards and Visualizations | Based on 33 Logz.io reviews. Presents information and analytics in a digestible, intuitive, and visually appealing way. | 81% (Based on 33 reviews) | |
Alerts and Notifications | As reported in 32 Logz.io reviews. Clearly notifies users with relevant information and anomalies in a timely manner. | 80% (Based on 32 reviews) | |
Reporting | As reported in 32 Logz.io reviews. Creates reports outlining log activity and relevant metrics. | 81% (Based on 32 reviews) |
Monitoring and Management
Automation | Automatically allocates resources to address log anomalies. This feature was mentioned in 31 Logz.io reviews. | 74% (Based on 31 reviews) | |
Performance Baseline | As reported in 28 Logz.io reviews. Sets a standard performance baseline by which to compare log activity. | 82% (Based on 28 reviews) | |
Real-Time Monitoring | Constantly monitors logs to detect anomalies in real time. 31 reviewers of Logz.io have provided feedback on this feature. | 83% (Based on 31 reviews) |
Data Preparation
Data Sources | Based on 50 Logz.io reviews and verified by the G2 Product R&D team. Automatically collect logs from all your services, applications, and platforms | 88% (Based on 50 reviews) | |
Indexing | Based on 47 Logz.io reviews and verified by the G2 Product R&D team. Automate the indexing of machine data that's critical to your operations | 84% (Based on 47 reviews) | |
Automated Tagging | Based on 44 Logz.io reviews and verified by the G2 Product R&D team. See log data in context with automated tagging and correlation | 80% (Based on 44 reviews) | |
Data Blending | Based on 43 Logz.io reviews and verified by the G2 Product R&D team. Mix and match data from apps, hosts, containers, services, networks, and more | 84% (Based on 43 reviews) |
Visualization
Dashboards | Based on 48 Logz.io reviews and verified by the G2 Product R&D team. Visualize log data on dashboards | 81% (Based on 48 reviews) | |
Data Discovery | Based on 45 Logz.io reviews and verified by the G2 Product R&D team. Drill down and explore data to discover new insights | 81% (Based on 45 reviews) |
Response
Dashboards and Visualization | Based on 17 Logz.io reviews. | 76% (Based on 17 reviews) | |
Incident Alerting | 16 reviewers of Logz.io have provided feedback on this feature. | 77% (Based on 16 reviews) | |
Root Cause Analysis (RCA) | Based on 17 Logz.io reviews. | 77% (Based on 17 reviews) |
Performance
Second by Second Metrics | Provides high-frequency metrics data. This feature was mentioned in 16 Logz.io reviews. | 79% (Based on 16 reviews) |
Functionality
Synthetic Monitoring | Monitors and test apps to address issues before they affect end users. This feature was mentioned in 16 Logz.io reviews. | 73% (Based on 16 reviews) | |
Dynamic Transaction Mapping | Provides dynamic end-to-end maps of every single transaction. 16 reviewers of Logz.io have provided feedback on this feature. | 80% (Based on 16 reviews) | |
Load Balancing | Based on 16 Logz.io reviews. Automatically adjusts resources base on application usage. | 77% (Based on 16 reviews) | |
Cloud Observability | As reported in 17 Logz.io reviews. Monitors cloud microservices, containers, kubernetes, and other cloud native software. | 78% (Based on 17 reviews) |
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 - Security Information and Event Management (SIEM)
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 | |
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 - 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 - 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 - 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 |
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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