What is AutoPilot Observability?
APO is a one-stop observability platform combining OpenTelemetry with eBPF. Leveraging LLM capabilities to enable auto-pilot analyzing and troubleshooting 🚀.
Problem
Users rely on manual monitoring and troubleshooting processes for system observability, which leads to slower incident resolution and increased operational overhead. manual monitoring and troubleshooting processes
Solution
An AI-native observability platform that combines OpenTelemetry with eBPF and leverages LLM capabilities to automate issue detection, analysis, and resolution. combining OpenTelemetry with eBPF and leveraging LLM capabilities
Customers
DevOps engineers and Site Reliability Engineers (SREs) managing cloud-native infrastructure, seeking automated troubleshooting and real-time system insights
Unique Features
Proactive AI-driven root cause analysis, unified OpenTelemetry-eBPF data collection, and auto-remediation workflows powered by LLMs
User Comments
Saves hours in debugging complex microservices issues
Reduces MTTR (Mean Time to Resolution) significantly
Intuitive integration with existing Kubernetes clusters
LLM-generated recommendations are context-aware
Lacks granular custom alert customization
Traction
Launched 3 days ago on ProductHunt with 320 upvotes, 85+ GitHub stars for its open-source components, used by 12 early enterprise adopters in fintech and SaaS verticals
Market Size
The global AIOps platform market is projected to reach $55.4 billion by 2028, growing at 26.2% CAGR (MarketsandMarkets, 2023)
