Observe, Inc. today launched a Project Voyager update that adds generative artificial intelligence (AI) agents to its namesake observability platform.
In addition, the company is adding support for open-source OpenTelemetry application performance management (APM), an instance of an APM based on the open-source agent software being advanced under the auspices of the Cloud Native Computing Foundation (CNCF). Observe previously made use of OpenTelemetry to collect data.
Finally, Observe is now also providing integration with the Snowflake data lake for storing telemetry data. That capability enables IT teams to launch queries against that data without having to move any of it outside the Snowflake data lake.
Fresh off raising an additional $145 million in funding, Observe CEO Jeremy Burton said the company has developed AI Investigator, a set of generative AI agents that has been trained to perform specific tasks such as accessing runbooks or prior incidents, understanding Kubernetes, Amazon Web Service (AWS) or GitHub platforms, or generating observability queries. When issues are resolved, summaries will be generated that can be used to further train or add additional AI agents.
AI Agents are orchestrated by a master “AI Planner” that manages the troubleshooting workflow that. In effect, is a digital companion or assistant designed for DevOps engineers and IT administrators. As a result, DevOps and IT teams will find themselves collaboratively working alongside digital assistants that are trained to perform tasks that previously would have required manual effort, noted Burton.
Earlier, Observe added a generative AI co-pilot that provides, for example, summarizations of IT incidents. AI agents take generative AI to the next level by leveraging the reasoning engines embedded within multiple large language models (LLMs) to automate specific tasks.
Observe claims to now have nearly 100 customers, including Capital One and Commonwealth Bank of Australia. Annual recurring revenue (ARR) is up over 200% year-over-year, with overall net revenue having increased 190% at the end of the first half of its fiscal 2025 year, according to the company.
In general, the way IT has been historically managed is fundamentally changing in the age of generative AI. Each organization will need to determine to what degree they will trust AI agents to perform specific tasks, but as additional LLM advances are made the reasoning capabilities those AI agents possess are only going to become more robust. Large numbers of tasks that IT professionals once manually performed will increasingly be automated.
Less clear is to what degree that level of automation may lead to IT teams being reorganized as some tasks that previously required specialists are performed by AI agents.
None of this means there won’t be a need for humans to manage IT workflows. However, the fundamental nature of jobs in IT is changing. In most cases, that should result in less toil and stress for all concerned but there is also little doubt that smaller teams will also be able to manage IT at levels of scale that not too long ago would have seemed unimaginable.