After years of wrestling with disconnected logs, dashboards, and alert storms, I wanted a simpler, faster way to understand what’s going on in cloud-native systems. That’s why I started CloudGrip.ai.
CloudGrip is an AI-native observability platform that connects logs, metrics, and traces using OpenTelemetry and layers on machine learning to surface what actually matters. It’s built for engineers who want to debug fast, not babysit tools.
You can send data via OTLP directly to get started in minutes. Logs, metrics, and traces are automatically correlated around OpenTelemetry’s resource model, so you don’t have to manually piece things together.
We focused on going beyond dashboards. CloudGrip detects anomalies, links them to code changes, and highlights the most likely root causes. It’s like having a triage assistant that helps reduce MTTR — without adding complexity.
You can explore everything through a clean, fast UI. No query languages. No proprietary formats. Just real signals, connected.
We're still early, but it already helps teams cut alert fatigue, spot regressions quickly, and understand production behavior without digging through scattered tools.
Would love your feedback — on the idea, the product, or your own observability pains.
obsiii•7mo ago
After years of wrestling with disconnected logs, dashboards, and alert storms, I wanted a simpler, faster way to understand what’s going on in cloud-native systems. That’s why I started CloudGrip.ai.
CloudGrip is an AI-native observability platform that connects logs, metrics, and traces using OpenTelemetry and layers on machine learning to surface what actually matters. It’s built for engineers who want to debug fast, not babysit tools.
You can send data via OTLP directly to get started in minutes. Logs, metrics, and traces are automatically correlated around OpenTelemetry’s resource model, so you don’t have to manually piece things together.
We focused on going beyond dashboards. CloudGrip detects anomalies, links them to code changes, and highlights the most likely root causes. It’s like having a triage assistant that helps reduce MTTR — without adding complexity.
You can explore everything through a clean, fast UI. No query languages. No proprietary formats. Just real signals, connected.
We're still early, but it already helps teams cut alert fatigue, spot regressions quickly, and understand production behavior without digging through scattered tools.
Would love your feedback — on the idea, the product, or your own observability pains.