Oodle is a fully managed serverless metrics observability platform that provides a drop-in replacement for Prometheus, enabling companies to monitor their infrastructure and applications with minimal operational overhead. By leveraging AI-powered caching and S3-backed storage, Oodle reduces observability costs by up to 90% while ensuring high availability and infinite scalability.
Funding
$5.5M 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.
Founders
Product
Problem
Companies face challenges in monitoring their infrastructure and applications due to the complexity and costs associated with traditional observability platforms like Prometheus, Grafana, and the ELK stack. Self-hosting these solutions requires significant engineering resources, while commercial tools can become prohibitively expensive, especially with increasing data volumes and high cardinality metrics. This complexity slows down debugging and increases mean time to resolution (MTTR) for incidents.
Solution
Oodle provides a fully managed, serverless metrics observability platform that serves as a drop-in replacement for existing Prometheus, Grafana, and ELK stack deployments. By leveraging a cloud-native architecture with S3-backed storage and AI-powered caching, Oodle offers infinite scalability and high availability while significantly reducing observability costs. The platform features AI-driven insights for one-click dynamic impact analysis, enabling faster incident resolution through dashboard-less debugging. Oodle's architecture supports high cardinality metrics and automatic tag correlation, simplifying the identification of impacted services and root cause analysis.
Target Audience
Oodle targets engineering and DevOps teams, ranging from startups to fast-growing unicorns, who are looking to simplify their observability stack, reduce costs, and improve incident response times.
Features
- Serverless architecture eliminates operational overhead and ensures pay-per-use pricing.
- S3-backed columnar datastore provides infinite scalability and high availability.
- AI-powered caching predicts query patterns to accelerate performance.
- One-click migration enables seamless transition from existing Prometheus setups without code changes.
- Automatic tag correlation identifies relationships between metrics and simplifies root cause analysis.
- Support for high cardinality metrics allows for detailed monitoring without performance degradation.
- eBPF-powered auto-instrumentation for simplified data collection.
- Integration with existing dashboards, alerts, and third-party tools.