Observe unveils AI-powered agents to speed troubleshooting

Industry watchers agree that it makes sense to apply AI to observability platforms.

“There is an immense opportunity in leveraging AI for the modern observability industry,” said Kate Holterhoff, senior analyst at RedMonk, in a statement. “Observe’s AI-powered investigation features are a promising addition to this growing market.”

Also with this release, Observe added Snowflake Observability, which is now available in the Snowflake Marketplace. This integration allows developers to gain insights into query performance and application health without moving data outside of Snowflake, which will ensure security and efficiency, according to Observe.

Observe is a SaaS platform, and customers deploy Observe agents to collect telemetry data. The agents can collect data from a variety of sources, including infrastructure such as Kubernetes, databases such as MongoDB or Snowflake, and other applications. The agents collect time-series data, logs, traces/spans, and performance data from these various sources and send the data to Observe’s platform. Observe then takes the raw telemetry data, curates and normalizes it, and structures it to make it more easily navigable and usable for troubleshooting by customer teams.

Customers access the platform with a web-based user interface, which provides observability and troubleshooting tools and capabilities. Primarily Observe is used by DevOps teams, site reliability engineers, and engineering teams, but it can be easily accessed by a variety of roles within an organization.

With the Project Voyager news, the company also announced an additional $20 million in Series B funding, bringing its total to $145 million.