Snowflake has announced its intention to acquire Observe, a provider of AI-powered observability. This acquisition aims to enhance AI observability using open standards to support modern AI-driven enterprises.
According to Snowflake CEO, Sridhar Ramaswamy, reliability is no longer just an IT metric but an important factor for business operations. By integrating Observe’s capabilities, Snowflake aims to extend its AI Data Cloud, helping enterprises to manage vast telemetry data effectively.
Observe was created on the Snowflake platform, and their alliance aims to offer the following:
- Agentic AI for Enhanced Troubleshooting: Combined resources aim to allow companies to transition from traditional monitoring to proactive resolution strategies. The integration offers a unified context graph, improving the approach to troubleshooting.
- Open-Standard Architecture: By adopting standards like Apache Iceberg and OpenTelemetry, Snowflake and Observe aim to manage large data volumes efficiently, while applying analytics and AI uniformly.
- Efficient Economic Solutions: This collaboration addresses the high costs associated with observability data. It provides organisations a means to maintain telemetry data without economic trade-offs, enhancing both visibility and cost-effectiveness.
Jeremy Burton, CEO of Observe, emphasised the significance of this acquisition, noting its potential to enhance their observability solutions on an enterprise scale. The focus of AI has shifted, and the collaboration between Snowflake and Observe addresses these evolving challenges.
Sanjeev Mohan, Principal Analyst at SanjMo, reflected on the increasingly blurred lines between data and observability platforms. Snowflake's acquisition underlines this industry shift.
Once the acquisition is finalised, Snowflake plans to extend its IT operations management offerings in a market noted for recent growth by Gartner. The successful completion, however, is contingent upon regulatory approvals and other customary conditions.
