The startup offers an AIOps platform that utilizes machine learning algorithms to identify the specific components responsible for production outages and service degradation. This enables businesses to minimize service disruptions and enhance operational efficiency by providing actionable insights for troubleshooting.
Funding
$9.5M 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
Existing observability solutions often require manual instrumentation and configuration, leading to blind spots, alert fatigue, and delayed incident resolution in complex production environments. These solutions struggle to provide a comprehensive view of infrastructure, applications, networks, and APIs, hindering SRE and DevOps teams' ability to quickly identify root causes and minimize service disruptions.
Solution
Senser is an AIOps platform that provides immediate, unified visibility and troubleshooting capabilities for modern production environments. Utilizing eBPF-based data collection, Senser automatically maps the entire topology of infrastructure, applications, networks, and APIs without requiring manual instrumentation or configuration. The platform employs machine learning algorithms to analyze the root cause and business impact of critical issues, enabling faster mean time to detect (MTTD) and mean time to resolution (MTTR). Senser also offers SLO management features, allowing users to configure, track, and manage service level objectives in one place, with intelligent traffic heuristics that automatically generate recommended indicators.
Target Audience
Senser is designed for SRE and DevOps teams seeking to gain control over their production environments, reduce MTTD and MTTR, and improve overall service reliability.
Features
- eBPF-based data collection for non-intrusive, lightweight, and deep observability without manual instrumentation
- Automated topology mapping of infrastructure, applications, networks, and APIs
- AI-powered investigation to automatically analyze the root cause and business impact of critical issues
- SLO management for configuring, tracking, and managing service level objectives
- Intelligent traffic heuristics for automatically generating recommended service level indicators (SLIs)
- Real-time monitoring of error budget consumption and forecasting of burndown rate
- Change impact analysis to identify unknown unknowns
- AI-powered query engine that allows users to rapidly answer critical questions about their production environment with natural language prompts