Funding
Funding not disclosed
Founders
Product
Problem
Modern software systems generate vast amounts of telemetry data, making it difficult for on-call engineers to quickly identify the root cause of application errors and performance bottlenecks. Manual root cause analysis is time-consuming, often requiring engineers to sift through logs, metrics, and codebases, leading to delayed incident resolution and increased downtime.
Solution
Small Hours provides an AI-powered observability platform that automates root cause analysis (RCA) to minimize downtime and maximize engineering efficiency. The platform integrates with existing monitoring tools via OpenTelemetry to ingest traces, logs, and metrics. It then applies AI algorithms to identify critical issues, correlate events, and pinpoint the underlying cause of server exceptions. The platform streamlines on-call rotations by providing engineers with actionable insights and suggested fixes, enabling faster time to resolution and more accurate fixes.
Target Audience
The primary target audience includes developers, SREs, and DevOps engineers responsible for maintaining the reliability and performance of web applications and services.
Features
- Automated root cause analysis using AI algorithms
- Integration with OpenTelemetry for seamless data ingestion from any platform
- Support for NextJS, FastAPI, Django, Flask, Rails, Gin, and Express frameworks
- Continuous metric and log monitoring to detect user-impacting issues
- Ability to connect to codebases (e.g., GitHub) and runbooks (e.g., Notion) for context
- Intelligent issue triage and pull request generation
- Secure and private data handling; code and data are never stored
- Support for alarms to identify critical issues