Logz.io Features
Network Management (3)
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.
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.
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.
Incident Management (3)
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.
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.
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.
Security Intelligence (4)
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.
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.
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.
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.
Monitoring (10)
Usage Monitoring
As reported in 17 Logz.io reviews. Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste.
Database Monitoring
Based on 15 Logz.io reviews. Monitors performance and statistics related to memory, caches and connections.
API Monitoring
Detects anomalies in functionality, user accessibility, traffic flows, and tampering. 16 reviewers of Logz.io have provided feedback on this feature.
Real-Time Monitoring - Cloud Infrastructure Monitoring
Constantly monitors system to detect anomalies in real time. 18 reviewers of Logz.io have provided feedback on this feature.
Security and Compliance Monitoring
Enables monitoring of security and compliance standards across cloud infrastructure.
Performance Baselines
17 reviewers of Logz.io have provided feedback on this feature.
Performance Analysis
As reported in 17 Logz.io reviews.
Performance Monitoring
This feature was mentioned in 17 Logz.io reviews.
AI/ML Assistance
This feature was mentioned in 16 Logz.io reviews.
Multi-System Monitoring
As reported in 16 Logz.io reviews.
Administration (1)
Auto-Scaling & Resource Optimization
Automatically scales resources based on demand and optimizes for performance and cost.
Analysis (9)
Reporting
Based on 17 Logz.io reviews. Creates reports outlining resource, underutilization, cost trends, and/or functional overlap.
Dashboards and Visualizations
Presents information and analytics in a digestible, intuitive, and visually appealing way. This feature was mentioned in 18 Logz.io reviews.
Spend Forecasting and Optimization
Based on 14 Logz.io reviews. Ability to project spend based on contracts, usage trends, and predicted growth.
Track Trends
Based on 46 Logz.io reviews and verified by the G2 Product R&D team. Allows user to track log trends.
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
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
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
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
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
Visibility (3)
Dashboards and Visualizations
As reported in 33 Logz.io reviews. Presents information and analytics in a digestible, intuitive, and visually appealing way.
Alerts and Notifications
Clearly notifies users with relevant information and anomalies in a timely manner. 32 reviewers of Logz.io have provided feedback on this feature.
Reporting
As reported in 32 Logz.io reviews. Creates reports outlining log activity and relevant metrics.
Monitoring and Management (3)
Automation
Based on 31 Logz.io reviews. Automatically allocates resources to address log anomalies.
Performance Baseline
As reported in 28 Logz.io reviews. Sets a standard performance baseline by which to compare log activity.
Real-Time Monitoring
Constantly monitors logs to detect anomalies in real time. 31 reviewers of Logz.io have provided feedback on this feature.
Data Preparation (4)
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
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
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
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
Visualization (2)
Dashboards
Based on 48 Logz.io reviews and verified by the G2 Product R&D team. Visualize log data on dashboards
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
Response (3)
Dashboards and Visualization
Based on 17 Logz.io reviews.
Incident Alerting
This feature was mentioned in 16 Logz.io reviews.
Root Cause Analysis (RCA)
As reported in 17 Logz.io reviews.
Performance (1)
Second by Second Metrics
Based on 16 Logz.io reviews. Provides high-frequency metrics data.
Functionality (4)
Synthetic Monitoring
As reported in 16 Logz.io reviews. Monitors and test apps to address issues before they affect end users.
Dynamic Transaction Mapping
Based on 16 Logz.io reviews. Provides dynamic end-to-end maps of every single transaction.
Load Balancing
Automatically adjusts resources base on application usage. 16 reviewers of Logz.io have provided feedback on this feature.
Cloud Observability
As reported in 17 Logz.io reviews. Monitors cloud microservices, containers, kubernetes, and other cloud native software.
Telemetry Collection & Ingestion - Observability (2)
Multi-Telemetry Ingestion
Ingests and processes multiple telemetry types, such as logs, metrics, and traces.
OpenTelemetry Support
Supports ingestion and standardization of observability data via OpenTelemetry protocol.
Visualization & Dashboards - Observability (3)
Service Dependency Mapping
Displays relationships between services to visualize system dependencies.
Unified Dashboard
Provides a consolidated view of system-wide telemetry in a single dashboard.
Trace Visualization
Allows users to explore and visualize distributed traces and span relationships.
Correlation & Root Cause Analysis - Observability (3)
Cross-Telemetry Correlation
Correlates logs, metrics, and traces to surface performance patterns and root causes.
Root Cause Detection
Identifies likely causes of issues using system insights and correlation logic.
Intelligent Alerting
Automatically alerts users to anomalies or critical events using contextual data.
Scalability & Ecosystem Integration - Observability (2)
Kubernetes Monitoring
Provides observability into containerized workloads and Kubernetes clusters.
Hybrid/Multi-Cloud Support
Enables observability across public cloud, private cloud, and on-prem environments.
AI Features - Observability (3)
Predictive Insights
Forecasts future system issues based on historical performance trends.
AI-Generated Incident Summaries
Summarizes incident root causes and potential fixes using generative AI.
AI Anomaly Detection
Uses machine learning to detect unusual behavior across telemetry data.
Agentic AI - Security Information and Event Management (SIEM) (4)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Application Performance Monitoring (APM) (5)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Log Analysis (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Cloud Infrastructure Monitoring (6)
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
Agentic AI - Log Monitoring (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
AI Automation - Cloud Infrastructure Monitoring (2)
AI-Powered Anomaly Detection
Utilizes machine learning to automatically detect and alert on unusual patterns in infrastructure metrics.
AI-Driven Insight Recommendations
Provides AI-generated insights and actionable recommendations to optimize resource performance and cost.
Agentic AI - Observability Software (7)
Autonomous Task Execution
Capability to perform complex tasks without constant human input
Multi-step Planning
Ability to break down and plan multi-step processes
Cross-system Integration
Works across multiple software systems or databases
Adaptive Learning
Improves performance based on feedback and experience
Natural Language Interaction
Engages in human-like conversation for task delegation
Proactive Assistance
Anticipates needs and offers suggestions without prompting
Decision Making
Makes informed choices based on available data and objectives
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