Logz.io Features

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.

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.

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.

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.

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.

Based on 21 Logz.io reviews and verified by the G2 Product R&D team. Documents cases of abnormal activity and compromised systems.

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.

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.

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.

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.

As reported in 17 Logz.io 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 15 Logz.io reviews.

Detects anomalies in functionality, user accessibility, traffic flows, and tampering. This feature was mentioned in 16 Logz.io reviews.

Based on 18 Logz.io reviews. Constantly monitors system to detect anomalies in real time.

Enables monitoring of security and compliance standards across cloud infrastructure.

This feature was mentioned in 17 Logz.io reviews.

This feature was mentioned in 17 Logz.io reviews.

This feature was mentioned in 17 Logz.io reviews.

Based on 16 Logz.io reviews.

Based on 16 Logz.io reviews.

Automatically scales resources based on demand and optimizes for performance and cost.

Based on 17 Logz.io reviews. Creates reports outlining resource, underutilization, cost trends, and/or functional overlap.

As reported in 18 Logz.io 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. 14 reviewers of Logz.io have provided feedback on this feature.

Based on 46 Logz.io reviews and verified by the G2 Product R&D team. Allows user to track log trends.

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

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

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

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

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

Based on 33 Logz.io reviews. Presents information and analytics in a digestible, intuitive, and visually appealing way.

As reported in 32 Logz.io reviews. Clearly notifies users with relevant information and anomalies in a timely manner.

Creates reports outlining log activity and relevant metrics. 32 reviewers of Logz.io have provided feedback on this feature.

Based on 31 Logz.io reviews. Automatically allocates resources to address log anomalies.

Based on 28 Logz.io reviews. Sets a standard performance baseline by which to compare log activity.

As reported in 31 Logz.io reviews. Constantly monitors logs to detect anomalies in real time.

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

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

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

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

Based on 48 Logz.io reviews and verified by the G2 Product R&D team. Visualize log data on dashboards

Based on 45 Logz.io reviews and verified by the G2 Product R&D team. Drill down and explore data to discover new insights

This feature was mentioned in 17 Logz.io reviews.

This feature was mentioned in 16 Logz.io reviews.

As reported in 17 Logz.io reviews.

As reported in 16 Logz.io reviews. Provides high-frequency metrics data.

As reported in 16 Logz.io reviews. Monitors and test apps to address issues before they affect end users.

Based on 16 Logz.io reviews. Provides dynamic end-to-end maps of every single transaction.

As reported in 16 Logz.io reviews. Automatically adjusts resources base on application usage.

Monitors cloud microservices, containers, kubernetes, and other cloud native software. 17 reviewers of Logz.io have provided feedback on this feature.

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

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

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

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