Causely’s New Integration with Grafana Labs Goes Beyond Observability to Understandability

Causely’s causal reasoning platform connects the dots across multiple alerts within Grafana to automatically identify the root cause, saving hours of manual troubleshooting during incident response.

SEATTLE--(BUSINESS WIRE)--GRAFANCON–Causely, the causal reasoning platform for modern engineering teams, today launches a new integration with Grafana Labs that automatically surfaces root causes directly within Grafana dashboards. Grafana Labs is the observability company behind the world’s most ubiquitous and open dashboards leveraged by over 25 million users around the world. The Causely platform utilizes purpose-built causal models to infer root causes automatically, saving engineers hours of manual correlation and guesswork.

“Grafana has millions of users and some of the most well-known companies using their cloud solutions to drive their digital businesses,” said Yotam Yemini, CEO of Causely. “They are servicing massive companies like Atlassian, Dell, Roblox and Wells Fargo – which means a tremendous amount of data is being generated that needs to be made sense of. Causely automatically identifies the root cause of anomalies and instantly makes all the data shown in a customer’s Grafana dashboards more actionable.”

By embedding Causely’s intelligence directly into a Grafana dashboard, engineers can instantly see the “why” behind performance issues in the context of their services, significantly cutting resolution time when there’s an alert that needs to be addressed. Causely also plugs into Grafana Alertmanager, enriching existing alerts with real-time, continuously-updated-root-cause intelligence. This AI-powered capability goes beyond sending alerts when something is wrong, getting deeper into where the problem originated and what to do next within the incident response workflow.

“By integrating Causely with Grafana, engineers have another option to see the inferred root causes of issues amongst the context of all of their relevant services,” said Ash Mazhari, VP of Corporate Development at Grafana Labs. "We're thrilled to collaborate with Causely to offer our users more choices and enhance their insights and value."

The Causely system works by automatically mapping an application’s topology and service dependencies, then applying a targeted set of high-probability root causes to this data. This novel approach to observability significantly reduces manual troubleshooting by making sense of patterns and determining the best path to remediation, converting alerts into actionable root causes.

About Causely
Causely leverages causal reasoning to cut through the observability noise and pinpoint what matters. Engineers are overwhelmed by too many tools, alerts, and data coming from their existing observability solutions. Causely automatically surfaces only the most critical risks to service reliability, enabling businesses to minimize operational overhead and maintain reliability without manual troubleshooting.