Observe provides an AI-powered observability cloud solution that ingests and analyzes telemetry data from diverse sources, enabling real-time visibility into application performance and infrastructure health. This platform eliminates blind spots and manual processes, allowing teams to troubleshoot issues quickly and efficiently across complex, cloud-native environments.
Funding
$322M 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.
SHFounders
Product
Problem
Modern cloud-native applications generate massive volumes of telemetry data from diverse sources, making it difficult for operations teams to gain a unified view of application performance and infrastructure health. Traditional monitoring tools often rely on sampling and pre-defined metrics, leading to blind spots and delayed incident resolution in complex environments.
Solution
Observe provides an AI-powered observability cloud that ingests and analyzes machine-generated data from various sources, offering real-time visibility into application performance and infrastructure health. The platform eliminates data silos by centralizing and correlating telemetry data, enabling teams to quickly troubleshoot issues across the entire tech stack. By leveraging AI, Observe automates incident investigation, allowing SREs to identify root causes and resolve problems faster. The solution supports full-fidelity data ingestion without sampling, ensuring comprehensive insights into both known and unknown issues.
Target Audience
The primary target audience includes SREs, DevOps engineers, and operations teams responsible for maintaining the performance and availability of cloud-native applications.
Features
- Ingests data from 400+ integrations, including cloud platforms (AWS, Azure, GCP), Kubernetes, databases, and application frameworks.
- Leverages AI-powered O11y Investigator to automate incident investigation and root cause analysis.
- Provides a centralized and pre-correlated data layer for organizing telemetry data at scale.
- Supports full-fidelity data ingestion without sampling, ensuring comprehensive visibility.
- Offers application performance management (APM) capabilities for end-to-end visibility into application health.
- Provides infrastructure monitoring to capture metrics across cloud, Kubernetes, and serverless environments.
- Enables log analytics for searching and analyzing event data without indexing or data tiers.