Lumigo is a developer-focused platform that automates the correlation of logs and traces in microservices, providing real-time visibility into application performance. By enabling teams to troubleshoot issues 80% faster with contextualized data, Lumigo reduces Mean Time to Repair (MTTR) and enhances operational efficiency.
Funding
$37M 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.
RCFounders
Product
Problem
Troubleshooting distributed applications built on microservices architectures is complex due to the lack of visibility across services and the difficulty in correlating logs and traces. Developers often spend excessive time manually analyzing logs and traces to identify the root cause of issues, leading to increased Mean Time to Repair (MTTR) and reduced operational efficiency.
Solution
Lumigo is a serverless observability platform that automatically correlates logs, traces, and payloads across microservices, providing developers with end-to-end visibility and contextualized insights. By automatically tracing every transaction without requiring code changes, Lumigo eliminates application blind spots and reduces the complexity of debugging distributed systems. The platform uses machine learning to proactively identify and alert on issues before they impact application performance or costs. Lumigo's auto-correlated log aggregation allows developers to quickly navigate from logs to traces and vice versa, bringing all troubleshooting data into a single, correlated view.
Target Audience
Lumigo is designed for developers, DevOps engineers, and SREs working with microservices and serverless architectures who need to quickly troubleshoot issues, reduce MTTR, and improve application performance.
Features
- Automated and continuous tracing of every transaction without code changes
- Automatic correlation of logs, traces, and payloads for end-to-end visibility
- Machine learning-powered predictive analytics for proactive issue detection and alerting
- Auto-correlated log aggregation for seamless navigation between logs and traces
- Contextualized data enrichment with complete in-context request and response payloads
- Integration with popular tools for publishing, deploying, notifying, and reporting
- Open Policy Agent (OPA) integration for security enforcement