Digma provides an AI Site Reliability Engineering (SRE) agent that autonomously identifies and remediates code and infrastructure issues. It connects to observability stacks to perform Dynamic Code Analysis, pinpointing root causes and suggesting precise fixes via pull requests or configuration updates. This solution helps engineering teams reduce resolution time, prevent production issues, and optimize code efficiency based on real runtime data.
Funding
$6.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
SVFounders
Product
Problem
Traditional Application Performance Monitoring (APM) tools often fail to identify code-level performance issues before they reach production, leading to delayed troubleshooting and potential disruptions. Developers need a way to proactively identify bottlenecks, scaling issues, and inefficient database queries directly within their IDE during the development cycle.
Solution
Digma provides a Continuous Feedback platform that integrates directly into the developer's IDE, offering real-time code profiling and analysis. By leveraging OpenTelemetry data, Digma identifies the root causes of performance bottlenecks, scaling problems, and database query inefficiencies before they impact production. The platform's Dynamic Code Analysis (DCA) engine processes observability data to provide actionable insights, enabling developers to address performance issues proactively. Digma's MCP server enhances code reviews by highlighting runtime issues and suggesting production-aware fixes, integrating them directly into the pull request.
Target Audience
Digma is designed for software developers, engineering managers, and architects working on Java and Spring Boot applications who need to proactively identify and resolve performance issues before they impact production.
Features
- Real-time code profiling within the IntelliJ IDE, providing immediate feedback on code performance
- Dynamic Code Analysis (DCA) engine that identifies performance bottlenecks, scaling issues, and inefficient database queries
- Integration with OpenTelemetry (OTEL) for seamless data collection without requiring code changes
- MCP server that enhances code reviews by highlighting runtime issues and suggesting production-aware fixes
- Identifies the impact of code changes on other services and components during runtime to prevent breaking changes
- Detects slow execution paths, scalability bottlenecks, and inefficient database queries
- Provides insights into code usage and dependencies to help developers prioritize work
- Local deployment option ensures data privacy and security