Polar Signals Cloud is a continuous profiling platform that utilizes eBPF technology to monitor application performance with less than 1% overhead, enabling real-time insights into resource usage and code execution. It helps organizations identify performance regressions and optimize infrastructure costs by revealing inefficiencies in their applications.
Funding
$10.8M 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
Many organizations waste significant resources due to inefficient code paths within their applications. Identifying these inefficiencies and performance regressions can be challenging, leading to increased infrastructure costs and hindering application performance. Traditional methods of performance monitoring often introduce significant overhead or require extensive code instrumentation.
Solution
Polar Signals Cloud is a continuous profiling platform that leverages eBPF technology to provide real-time insights into application performance with minimal overhead. By continuously monitoring code execution and resource usage, Polar Signals Cloud helps organizations pinpoint performance bottlenecks, understand incidents, and optimize infrastructure costs. The platform's zero-instrumentation approach allows for immediate deployment and actionable observability data across various languages, including C, C++, Go, Ruby, Python, Java, and Rust.
Target Audience
Polar Signals Cloud targets engineering teams, SREs, and platform engineers who need to optimize code, reduce infrastructure costs, and improve application performance in real-time.
Features
- Always-on profiling with eBPF technology, resulting in less than 1% overhead
- Zero-instrumentation setup for immediate deployment and actionable data
- Difference detection to identify performance regressions and optimizations over time
- Production monitoring to detect anomalies and improve runtime performance
- Prometheus-like Query Language for slicing and dicing profiling data
- Global view of profiling data across the entire infrastructure
- Function filtering for targeted optimization efforts
- Comparison tools to analyze performance changes between versions or environments
- Icicle-Graph visualization to understand application behavior