Sumo Logic Features

Diagnose and resolve incidents without the need for human interaction. 66 reviewers of Sumo Logic have provided feedback on this feature.

Based on 66 Sumo Logic reviews. Guide users through the resolution process and give specific instructions to remedy individual occurrences.

Based on 60 Sumo Logic reviews. Cuts off network connection or temporarily inactivate applications until incidents are remedied.

Gathers information related to threats in order to gain further information on remedies. This feature was mentioned in 61 Sumo Logic reviews.

Clearly notifies users with relevant information and anomalies in a timely manner.

Sets a standard performance baseline by which to compare log activity.

Allows platform to scale to size of desired environment and configured with high availability and disaster recovery capabilities.

As reported in 33 Sumo Logic reviews.

33 reviewers of Sumo Logic have provided feedback on this feature.

Based on 31 Sumo Logic reviews.

Information on each incident is stored in databases for user reference and analytics. This feature was mentioned in 84 Sumo Logic reviews.

Based on 75 Sumo Logic reviews. Produces reports detailing trends and vulnerabilities related to their network and infrastructure.

Based on 73 Sumo Logic reviews. Analyzes recurring incidents and remedies to ensure optimal resource usage.

Based on 83 Sumo Logic reviews. Gives alerts when incidents arise. Some responses may be automated, but users will still be informed.

Adminstrators can access and organize data related to incidents to produce reports or make data more navigable. This feature was mentioned in 63 Sumo Logic reviews.

Based on 68 Sumo Logic reviews. Administrators can organize workflows to guide remedies to specific situations incident types.

Based on 59 Sumo Logic 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 54 Sumo Logic 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 60 Sumo Logic 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 60 Sumo Logic 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 53 Sumo Logic reviews and verified by the G2 Product R&D team. Reduces time spent remedying issues manually. Resolves common network security incidents quickly.

Based on 52 Sumo Logic reviews and verified by the G2 Product R&D team. Documents cases of abnormal activity and compromised systems.

Based on 51 Sumo Logic 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 50 Sumo Logic 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 51 Sumo Logic 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 55 Sumo Logic 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.

Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste. This feature was mentioned in 35 Sumo Logic reviews.

Monitors performance and statistics related to memory, caches and connections. This feature was mentioned in 35 Sumo Logic reviews.

Based on 35 Sumo Logic reviews. Detects anomalies in functionality, user accessibility, traffic flows, and tampering.

As reported in 33 Sumo Logic reviews. Constantly monitors system to detect anomalies in real time.

Enables monitoring of security and compliance standards across cloud infrastructure.

Based on 32 Sumo Logic reviews.

This feature was mentioned in 32 Sumo Logic reviews.

Based on 30 Sumo Logic reviews.

Based on 30 Sumo Logic reviews.

This feature was mentioned in 30 Sumo Logic reviews.

As reported in 10 Sumo Logic reviews. Optimizes resource allocation.

Consistently monitors processes for applications and IT infrastructure to detect anomalies in real-time. This feature was mentioned in 10 Sumo Logic reviews.

Sets up standard performance baseline to compare live container activities. This feature was mentioned in 10 Sumo Logic reviews.

Traces connections between different containerized environments and detects anomalies in functionality, user accessibility, traffic flows, and tampering. This feature was mentioned in 11 Sumo Logic reviews.

Based on 33 Sumo Logic reviews. Actively monitor status of work stations either on-premise or remote.

Allows users to track and control cloud spend across cloud services and providers. This feature was mentioned in 32 Sumo Logic reviews.

Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements. This feature was mentioned in 33 Sumo Logic reviews.

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

Streamline the flow of work processes by establishing triggers and alerts that notify and route information to the appropriate people when their action is required within the compensation process. 15 reviewers of Sumo Logic have provided feedback on this feature.

Integrates additional security tools to automate security and incident response processes. This feature was mentioned in 15 Sumo Logic reviews.

Allows users to track and control activity across cloud services and providers. This feature was mentioned in 14 Sumo Logic reviews.

Based on 36 Sumo Logic reviews. Creates reports outlining resource, underutilization, cost trends, and/or functional overlap.

Presents information and analytics in a digestible, intuitive, and visually appealing way. This feature was mentioned in 36 Sumo Logic reviews.

Ability to project spend based on contracts, usage trends, and predicted growth. This feature was mentioned in 31 Sumo Logic reviews.

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

Based on 46 Sumo Logic 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 48 Sumo Logic 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 Sumo Logic reviews and verified by the G2 Product R&D team. Search your logs for troubleshooting and open-ended exploration of your data

Based on 50 Sumo Logic 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 45 Sumo Logic reviews and verified by the G2 Product R&D team. See your data, in real time, streaming into the system from multiple data sources

As reported in 13 Sumo Logic reviews. Allows users to search logs for troubleshooting and open-ended exploration of data.

As reported in 11 Sumo Logic reviews. Creates reports outlining resource, underutilization, cost trends, and/or functional overlap.

Based on 12 Sumo Logic reviews. Presents information and analytics in a digestible, intuitive, and visually appealing way.

Based on 12 Sumo Logic reviews. Allows users to track log trends.

Presents information and analytics in a digestible, intuitive, and visually appealing way. This feature was mentioned in 58 Sumo Logic reviews.

Clearly notifies users with relevant information and anomalies in a timely manner. This feature was mentioned in 58 Sumo Logic reviews.

Creates reports outlining log activity and relevant metrics. This feature was mentioned in 58 Sumo Logic reviews.

As reported in 57 Sumo Logic reviews. Automatically allocates resources to address log anomalies.

Sets a standard performance baseline by which to compare log activity. This feature was mentioned in 56 Sumo Logic reviews.

Based on 57 Sumo Logic reviews. Constantly monitors logs to detect anomalies in real time.

Visually displays connected applications and integrated data. Allows customization and management of workflow structures.

Streamline the flow of work processes by establishing triggers and alerts that notify and route information to the appropriate people when their action is required within the compensation process.

Reduces time spent remedying issues manually. Resolves common network security incidents quickly.

Constantly monitors logs to detect anomalies in real time.

Diagnoses and resolves incidents without the need for human interaction. This feature was mentioned in 10 Sumo Logic reviews.

Based on 11 Sumo Logic reviews. Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements.

Integrates additional security tools to automate security and incident response processes.

Collects information from multiple sources to cross reference and build contextual to correlate intelligence.

Stores information related to common threats and how to resolve them once incidents occur.

Offer pre-built and custom reporting and dashboards for quick insights into system states.

Based on 19 Sumo Logic reviews. Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste.

As reported in 16 Sumo Logic reviews. Monitors performance and statistics related to memory, caches and connections.

As reported in 17 Sumo Logic reviews. Detects anomalies in functionality, user accessibility, traffic flows, and tampering.

Actively monitors status of work stations either on-premise or remote. This feature was mentioned in 17 Sumo Logic reviews.

Monitors data quality and send alerts based on violations or misuse. 17 reviewers of Sumo Logic have provided feedback on this feature.

Identifies potential network security risks, vulnerabilities, and compliance impacts. 16 reviewers of Sumo Logic have provided feedback on this feature.

Creates reports outlining log activity and relevant metrics. 17 reviewers of Sumo Logic have provided feedback on this feature.

Based on 50 Sumo Logic reviews and verified by the G2 Product R&D team. Automatically collect logs from all your services, applications, and platforms

Based on 47 Sumo Logic reviews and verified by the G2 Product R&D team. Automate the indexing of machine data that's critical to your operations

Based on 47 Sumo Logic reviews and verified by the G2 Product R&D team. See log data in context with automated tagging and correlation

Based on 44 Sumo Logic reviews and verified by the G2 Product R&D team. Mix and match data from apps, hosts, containers, services, networks, and more

Based on 49 Sumo Logic reviews and verified by the G2 Product R&D team. Visualize log data on dashboards

Based on 49 Sumo Logic reviews and verified by the G2 Product R&D team. Drill down and explore data to discover new insights

Provides personalized responses to interlocator based on segmentation or past responses.

Has tools (e.g. dashboards and reports) to better understand conversations Intelligent Virtual Assistants have had.

Can have a natural, human-like conversation with an interlocator.

Allows business to edit conversations to meet the unique needs of one's business.

Gives users the ability to update systems, like CRM, based on conversations.

Allows users to maintain and observe the accuracy and viability of Intelligent Virtual Assistants.

Captures and analyzes each transaction by users of a website or application in real time. This feature was mentioned in 34 Sumo Logic reviews.

As reported in 33 Sumo Logic reviews. Provides high-frequency metrics data.

Monitors and test apps to address issues before they affect end users. 32 reviewers of Sumo Logic have provided feedback on this feature.

Based on 31 Sumo Logic reviews. Provides dynamic end-to-end maps of every single transaction.

As reported in 30 Sumo Logic reviews. Automatically adjusts resources base on application usage.

Monitors cloud microservices, containers, kubernetes, and other cloud native software. This feature was mentioned in 31 Sumo Logic reviews.

Alerts over email, text, phone call, or more to multiple parties. This feature was mentioned in 10 Sumo Logic reviews.

Provides information related to unnecessary spending and unused resources. 11 reviewers of Sumo Logic have provided feedback on this feature.

As reported in 12 Sumo Logic reviews. Gives alerts when incidents arise.

Directly identifies, or increases identification speed for, root causes for container issues. This feature was mentioned in 11 Sumo Logic reviews.

Provides paths, suggestions, or other general assistance towards issue resolution. This feature was mentioned in 11 Sumo Logic reviews.

Proactively identifies trends on container systems that could lead to failures or errors. This feature was mentioned in 11 Sumo Logic reviews.

Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary.

Based on 10 Sumo Logic reviews. Allows users to generate text based on a text prompt.

Condenses long documents or text into a brief summary. 10 reviewers of Sumo Logic have provided feedback on this feature.

Allows users to automate responses to customer inquiries across various channels.

Allows users to automate responses to customer inquiries across various channels.

Allows users to automate the process of generating and qualifying sales leads.

Allows users to automate the handling, processing, and management of documents.

Provides users the ability to automate the collection and analysis of feedback from customers, employees, or other stakeholders.

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Allows the AI agent to learn from interactions and adapt its responses accordingly.

Provides the AI agent the ability to execute tasks without requiring constant user input.

Allows the AI agent to identify and resolve issues without user intervention.

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

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