Prequel is a platform that aggregates global failure knowledge from sources like GitHub and Discord, transforming it into a library of deterministic problem detectors for open source bugs, misconfigurations, and software antipatterns. This technology enables teams to proactively identify and resolve issues, reducing incidents by 53% and increasing productivity by 37%.
Funding
$3.3M 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.
Founders
Product
Problem
Modern applications often suffer from undetected bugs, misconfigurations, and software antipatterns that lead to incidents, increased cloud costs, and reduced developer productivity. Traditional observability tools rely on manual troubleshooting and expertise to identify and resolve these underlying issues, leaving many problems unmanaged.
Solution
Prequel is a problem detection platform that aggregates global failure knowledge from sources like GitHub, Discord, and post-mortems, transforming it into a library of deterministic problem detectors. These detectors proactively identify and resolve open source bugs, misconfigurations, and software antipatterns within applications. By running these detections at the edge, Prequel enables teams to detect problems at the first sign of trouble, preventing incidents and accelerating developer velocity. The platform integrates with existing infrastructure and offers a community-driven approach, allowing users to leverage expert rules and contribute their own.
Target Audience
Prequel is designed for high-velocity engineering teams, SREs, and DevOps professionals who need to proactively identify and resolve software failures to improve reliability, reduce cloud costs, and accelerate feature delivery.
Features
- Library of pre-built problem detectors covering open source bugs, misconfigurations, and software antipatterns
- Community-driven approach for staying up-to-date with the latest rules from experts
- Real-time detection capabilities for identifying problems at the first sign of trouble
- In-cluster architecture for applying community expertise to a continuous stream of low-level data without raw data leaving the cluster
- Guided workflows for quickly going from detection to resolution
- Kubernetes-native design supporting AWS, GCP, Azure, and on-prem environments
- Integration with existing observability tools
- Flat, predictable pricing with no data fees