Lightrun Features

Allows users to schedule instances, changes or other operational tasks in advance.

Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements.

Allows users to track and control cloud spend across cloud services and providers.

Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste.

Ability to project spend based on contracts, usage trends, and predicted growth.

Provides use-specific recommendations regarding performance and resource utilization.

Provides ability to track and/or map spending on all cloud spend across departments with little to no manual entry.

Creates reports outlining resource, underutilization, cost trends, and/or functional overlap.

Presents information and analytics in a digestible, intuitive, and visually appealing way.

Helps companies ensure they meet their industry-specific compliance needs for data management and privacy standards.

Allows administrators to set policies for security and data governance.

Analyzes data associated with web traffic and site performance to provide vulnerability insights and best practices.

Creates new or streamlines existing workflows to better handle IT support tickets and service.

Actively monitor status of work stations either on-premise or remote.

Allows users to track and control cloud spend across cloud services and providers.

Efficiently scales resource usage to optimize spend whith increased or decreased resource usage requirements.

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

Facilitates simpler user experience through syntax highlighting, shortcuts, completion aid automation, etc.

Manage individual software component files as a part of the greater overall project.

Provides the ability to write in more than one programming language.

Allows users to modify interface (e.g., theme selection) and layout by personal preference.

Performs core functionalities without the need of immediate additional feature or add-on installations.

Supplies users with basic-to-intermediate guides regarding IDE functionality and use cases.

Downloads and installs updates automatically for product improvement and pace-keeping with programming language evolution.

Monitors data quality and sends alerts based on violations or misuse.

Constantly monitors acivity related to user behavior and compares activity to benchmarked patterns.

Stores data securely either on premise or in an adjacent cloud database to prevent loss of data at rest.

Analyzes data associated with denied entries and policy enforcement, giving information of better authentication and security protocols.

Allows users to create, edit, and relinquish user access privileges.

Ensures user access management, data lineage, and data encryption.

Supports compliance with PII, GDPR, HIPPA, PCI, and other regulatory standards.

Tracks infrastructure resource needs and alerts administrators or automatically scales usage to minimize waste.

Monitors performance and statistics related to memory, caches and connections.

Detects anomalies in functionality, user accessibility, traffic flows, and tampering.

Constantly monitors system to detect anomalies in real time.

Enables monitoring of security and compliance standards across cloud infrastructure.

As reported in 16 Lightrun reviews.

As reported in 16 Lightrun reviews.

16 reviewers of Lightrun have provided feedback on this feature.

15 reviewers of Lightrun have provided feedback on this feature.

15 reviewers of Lightrun have provided feedback on this feature.

Creates reports outlining resource, underutilization, cost trends, and/or functional overlap.

Presents information and analytics in a digestible, intuitive, and visually appealing way.

Ability to project spend based on contracts, usage trends, and predicted growth.

Give users in-app method of reporting bugs and leaving general performance feedback. 34 reviewers of Lightrun have provided feedback on this feature.

As reported in 34 Lightrun reviews. Give testers in-app method of reporting bugs and leaving general performance feedback.

Give team members method of reporting bugs and leaving comments on bug status. This feature was mentioned in 34 Lightrun reviews.

As reported in 34 Lightrun reviews. Provide reproducible, insightful info surrounding bug and crash scenarios.

Track history of bug status by application version, date, etc. 34 reviewers of Lightrun have provided feedback on this feature.

Store bug tracking data for an appropriate and useful amount of time. 32 reviewers of Lightrun have provided feedback on this feature.

As reported in 12 Lightrun reviews. Presents information and analytics in a digestible, intuitive, and visually appealing way.

Clearly notifies users with relevant information and anomalies in a timely manner. This feature was mentioned in 10 Lightrun reviews.

Creates reports outlining log activity and relevant metrics.

Automatically allocates resources to address log anomalies.

As reported in 11 Lightrun reviews. Sets a standard performance baseline by which to compare log activity.

Constantly monitors logs to detect anomalies in real time. This feature was mentioned in 11 Lightrun reviews.

As reported in 16 Lightrun reviews.

This feature was mentioned in 16 Lightrun reviews.

16 reviewers of Lightrun have provided feedback on this feature.

As reported in 14 Lightrun reviews. Captures and analyzes each transaction by users of a website or application in real time.

As reported in 14 Lightrun reviews. Provides high-frequency metrics data.

Monitors and test apps to address issues before they affect end users. This feature was mentioned in 14 Lightrun reviews.

Provides dynamic end-to-end maps of every single transaction. This feature was mentioned in 14 Lightrun reviews.

Automatically adjusts resources base on application usage. 14 reviewers of Lightrun have provided feedback on this feature.

Monitors cloud microservices, containers, kubernetes, and other cloud native software. 16 reviewers of Lightrun 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.

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

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

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