The acquisition will broaden Snowflake’s capabilities in a $50+ billion IT operations administration software program market1, positioning it to ship subsequent technology AI-powered observability based mostly on open requirements
-
Observe’s main observability platform will combine immediately into Snowflake, extending the worth of the AI Knowledge Cloud to permit enterprises to ingest and retain 100% of their telemetry knowledge at decrease price.
-
By combining Observe’s AI Web site Reliability Engineer (SRE) with Snowflake’s high-fidelity knowledge, groups can transfer from reactive monitoring to proactive, automated troubleshooting, resolving manufacturing points as much as 10x quicker.
-
This transfer will create a unified, open-standard structure (based mostly on Apache Iceberg and OpenTelemetry) designed to deal with the huge telemetry volumes clients require for subsequent technology AI brokers and purposes.
Snowflake , the AI Knowledge Cloud firm, introduced it has signed a definitive settlement to amass Observe, a frontrunner in AI-powered observability. With this acquisition, Snowflake will ship the subsequent technology of AI-powered observability, constructed on open requirements and designed for the dimensions, complexity, and economics required by fashionable AI-driven enterprises.
“As our clients construct more and more advanced AI brokers and knowledge purposes, reliability is not simply an IT metric – it’s a enterprise crucial,” mentioned Sridhar Ramaswamy, CEO, Snowflake. “By bringing Observe’s capabilities immediately into the Snowflake AI Knowledge Cloud, we’re empowering our clients to handle enterprise-wide observability throughout terabytes to petabytes of telemetry with an open, scalable structure and AI-powered troubleshooting workflows.”
Additionally Learn: AiThority Interview That includes: Pranav Nambiar, Senior Vice President of AI/ML and PaaS at DigitalOcean
From its inception, Observe was constructed on Snowflake and collectively, Snowflake and Observe will present enterprises with:
- Agentic AI for quicker troubleshooting: The mixture of Observe’s AI-powered Web site Reliability Engineer (SRE) with trusted knowledge in Snowflake permits a shift from reactive monitoring to proactive, automated troubleshooting. Observe’s AI SRE leverages a unified context graph that correlates logs, metrics, and traces, permitting groups to detect anomalies earlier, determine root causes quicker, and resolve manufacturing points as much as ten occasions quicker, bettering operational resilience as programs develop extra distributed, dynamic, and autonomous.
- An open-standard structure constructed for scale: The acquisition additionally establishes a unified, open-standard observability structure based mostly on Apache Iceberg and OpenTelemetry, requirements which Snowflake has repeatedly contributed to. This strategy permits enterprises to handle huge telemetry volumes utilizing economical object storage, elastic compute, and interoperable requirements, an important basis for working subsequent technology AI brokers and purposes at scale. By treating telemetry as first-class knowledge throughout the Snowflake AI Knowledge Cloud, enterprises can apply analytics and AI constantly throughout observability and enterprise knowledge, with larger flexibility, governance, and effectivity.
- Full telemetry knowledge retention with environment friendly economics: As AI-driven purposes generate unprecedented volumes of logs, metrics, and traces, enterprises have more and more been pressured to depend on sampling and quick retention home windows to handle price. By unifying Observe’s AI-powered observability platform with Snowflake’s scalable and trusted knowledge basis, organizations can remove these tradeoffs and retain high-fidelity telemetry knowledge, decreasing observability price considerably whereas bettering visibility throughout their complete knowledge property.
“Observability is basically a knowledge downside, and Observe becoming a member of Snowflake is a pure extension of their AI Knowledge Cloud, permitting us to speed up our observability answer at true enterprise scale,” mentioned Jeremy Burton, CEO, Observe. “As AI reshapes how purposes are constructed, the bottleneck has shifted from writing code to working and troubleshooting advanced programs in manufacturing. Observe was constructed for this second. By combining our AI-powered SRE with Snowflake’s AI Knowledge Cloud, we are able to ship quicker insights, larger reliability, and dramatically higher economics. Collectively, we’ll assist enterprises run the subsequent technology of AI purposes and brokers with confidence.”
“Observability’s price downside stems from treating telemetry as special-purpose knowledge requiring specialised infrastructure. The business is correcting this by bringing observability knowledge into fashionable knowledge platforms the place it could actually leverage current lakehouse economics and AI capabilities. Snowflake’s acquisition highlights a vital business perception: the traces between knowledge platforms and observability platforms are blurring,” mentioned Sanjeev Mohan, Principal Analyst, SanjMo.
Upon the closing of this acquisition, Snowflake will deepen its dedication to serving to clients construct and function dependable brokers and purposes. Observe’s developer-friendly strategy enhances Snowflake’s current workload engines by offering groups with real-time enterprise context, quicker root-cause evaluation, and AI-assisted troubleshooting – vital parts for working dynamic, autonomous programs at scale. Snowflake may also broaden its presence in a quickly rising IT operations administration software program market. In line with Gartner®, “The ITOM software program market grew 9.0% in 2024 to succeed in $51.7B.”1
Additionally Learn: The Finish Of Serendipity: What Occurs When AI Predicts Each Alternative?
[To share your insights with us, please write to psen@itechseries.com]
