Lightrun

Investigation engine

Core triage, root cause analysis workflows, and remediation suggestions are facilitated through the investigation engine. This feature allows users to efficiently analyze incidents and derive actionable insights to resolve issues. Users interact with it by inputting queries related to incidents, enabling a structured approach to troubleshooting.

Automatic alert investigations

This feature automates the process of investigating alerts, reducing the manual effort required to analyze incidents. It provides users with timely insights into alert conditions and potential issues, streamlining the response process. Users benefit from quicker resolutions and reduced downtime.

Knowledge Memory engine

The Knowledge Memory engine captures historic investigation learnings and maps infrastructure deployment dependencies. This feature allows users to leverage past insights for current investigations, enhancing the efficiency of troubleshooting. Users can access a repository of knowledge that informs their decision-making.

Dynamic telemetry

Dynamic telemetry provides real-time insights into system performance and behavior. This feature allows users to monitor live data and adjust their strategies accordingly, ensuring that they have the most current information at their fingertips. Users can interact with this telemetry to make informed decisions during incidents.

Runtime context MCP

Runtime context MCP integrates with AI coding assistants and agents to provide contextual insights during live debugging sessions. This feature enhances the debugging process by offering relevant information about the current state of the system. Users can leverage this context to make more informed decisions while troubleshooting.

Data privacy with built-in PII redaction

This feature ensures that personally identifiable information (PII) is automatically redacted during investigations, maintaining compliance with data protection regulations. Users can investigate issues without exposing sensitive data, thus enhancing security. It provides peace of mind for organizations handling sensitive information.

Role-based access control

Role-based access control allows organizations to define user permissions based on roles, ensuring that only authorized personnel can access sensitive data and functionalities. This feature enhances security by limiting access to critical systems and information. Users can manage permissions easily through the platform.

Full audit logs and reports

This feature provides comprehensive audit logs and reports that track user activities and system changes. It allows organizations to maintain accountability and transparency in their operations. Users can generate reports to review actions taken within the system, aiding in compliance and security audits.

Custom SSO integrations

Custom single sign-on (SSO) integrations enable organizations to implement their authentication systems, enhancing security and user management. This feature allows users to access the platform using their existing credentials, streamlining the login process. It provides flexibility for organizations with specific security requirements.

Slack integration

The Slack integration allows teams to receive alerts and notifications directly within their Slack channels. This feature enhances communication and collaboration among team members during incident response. Users can configure alerts to ensure that the right people are informed in real-time.

Code integrations: GitHub and Bitbucket

This feature enables seamless integration with GitHub and Bitbucket, allowing users to connect their code repositories with the Lightrun platform. It facilitates easier tracking of code changes and incidents related to specific commits. Users can leverage this integration to enhance their development workflows.

Unlimited APM and telemetry tool integrations

This feature allows users to integrate an unlimited number of application performance monitoring (APM) and telemetry tools with the Lightrun platform. It enhances the observability of systems by providing a comprehensive view of performance metrics. Users can customize their monitoring setup to fit their specific needs.

Multi-instance debugging

Multi-instance debugging allows users to debug multiple instances of applications simultaneously, including Kubernetes and serverless environments. This feature enhances the efficiency of troubleshooting by enabling users to monitor various instances at once. Users can quickly identify issues across different environments.

Dynamic logs

Dynamic logs provide real-time logging capabilities that capture system behavior as it occurs. This feature allows users to monitor logs without the need for redeployments, ensuring that they have the most current information available. Users can interact with these logs to gain insights into system performance.

Real-time snapshots

Real-time snapshots capture the state of the application at specific moments, providing users with a visual representation of system behavior. This feature aids in understanding how the application is performing during incidents. Users can utilize these snapshots to analyze issues effectively.

Performance metrics

Performance metrics provide users with key indicators of system performance, allowing them to monitor and optimize their applications. This feature helps users identify bottlenecks and areas for improvement. Users can access these metrics to make data-driven decisions regarding system enhancements.