Pixie Labs develops machine intelligence systems that enable developers to integrate complex data analysis into their applications, enhancing decision-making capabilities. This technology streamlines software development processes, improving efficiency and reducing time-to-market for data-driven applications.
Funding
$9.2M 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
Kubernetes environments present challenges for developers needing to monitor application performance and debug issues due to the complexity of distributed systems and the lack of readily available, code-level observability data. Traditional monitoring solutions often require manual instrumentation, which is time-consuming and can impact application performance. This complexity slows down debugging and optimization efforts.
Solution
Pixie provides an open-source, in-cluster observability platform for Kubernetes applications, enabling developers to monitor, debug, and optimize their applications without manual instrumentation. Pixie uses eBPF to automatically capture metrics, events, traces, and logs at the code level, providing deep visibility into application behavior. Developers can use pre-built or custom scripts to analyze this data, identify performance bottlenecks, and troubleshoot issues directly from the command line or a web-based UI. By running entirely within the Kubernetes cluster, Pixie avoids the cost and complexity of exporting telemetry data to external systems.
Target Audience
Pixie is designed for developers and DevOps engineers working with Kubernetes who need a fast, efficient, and code-level observability solution for debugging and optimizing application performance.
Features
- Automatic instrumentation using eBPF probes to collect metrics, events, traces, and logs without code changes
- Real-time data capture and analysis with minimal overhead on application performance
- Pre-built and custom PXL scripts for querying and analyzing observability data
- Command-line interface (CLI) and web-based UI for interacting with Pixie
- Integration with OpenTelemetry for exporting data to other monitoring systems
- In-cluster deployment for enhanced security and reduced data egress costs
- Support for various Kubernetes distributions, including Minikube, EKS, GKE, and AKS