OpenObserve is an open-source observability platform that consolidates logs, metrics, and traces into a single interface, utilizing SQL for querying and supporting various storage services like S3 and Azure Blob. It reduces storage costs by approximately 140 times compared to traditional tools, while offering a streamlined setup and lower resource utilization for enhanced monitoring efficiency.
Funding
$3.6M 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.
BPCVDPLKRSSOFounders
Product
Problem
Existing observability platforms often involve complex setups, high resource utilization, and the need to learn proprietary query languages. These platforms can also be expensive due to significant storage costs, especially when dealing with large volumes of logs, metrics, and traces.
Solution
OpenObserve is an open-source observability platform that consolidates logs, metrics, and traces into a single interface, leveraging object storage such as S3, GCS, MinIO, and Azure Blob for cost-effective data storage. By utilizing SQL as its primary query language, OpenObserve eliminates the need to learn a new query syntax, making it accessible to a wider range of users. Its architecture is designed for efficient scaling and reduced resource consumption, resulting in lower overall operational costs. The platform includes built-in alerting mechanisms and customizable dashboards, providing a comprehensive view of system behavior and enabling prompt issue resolution.
Target Audience
OpenObserve is designed for DevOps engineers, system administrators, and developers who need a cost-effective and easy-to-use observability solution for monitoring infrastructure and applications.
Features
- Unified platform for logs, metrics, and traces, eliminating the need for multiple tools
- SQL-based query language for intuitive data analysis
- Support for PromQL for querying metrics data
- Storage on object stores (S3, GCS, MinIO, Azure Blob) for reduced storage costs
- Real-time and scheduled alerting with customizable templates and multi-platform dispatch
- User-friendly GUI with advanced features like top 10, search around, and custom VRL functions
- Dynamic schema evolution for ingesting logs without predefined schemas
- Role-based access control (RBAC) for enhanced security
- User-defined ingest and query functions for data parsing, redaction, and enrichment
- Prebuilt dashboards for visualizing real-time data