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Observe

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uuid00005fo

Namestring
Observe
Legal namestring
Observe, Inc.
Websiteurl
observeinc.com
Company typeenum
Private
Founded yearint
2017
Descriptiontext

Observe, Inc., founded in 2017 by former leaders of Snowflake, Splunk, Wavefront, and Roblox, provides an AI-powered observability platform that unifies log management, application performance monitoring, infrastructure monitoring, and LLM observability in a single system. The platform is built on two proprietary architectural components: the O11y Context Graph, which structures logs, metrics, and traces as semantically related entities using incremental views and token indexes, and the O11y Data Lake, which stores telemetry in Apache Iceberg tables with 10x compression on low-cost cloud storage (~$0.0023/GB/month). Native construction on Snowflake's database layer underpins the cost and performance claims, including 13-month default data retention and 400+ pre-built integrations across AWS, Azure, GCP, and Kubernetes. AI capabilities center on the AI SRE product and the O11y Investigator agentic system, which together enable natural-language incident investigation, autonomous root-cause analysis, and CI/CD deployment validation.

Short descriptiontext

Observe, founded in 2017, provides an AI-powered observability platform unifying logs, metrics, traces, and LLM monitoring, built on a proprietary context graph and Snowflake-backed data lake for enterprise engineering and SRE teams. Acquired by Snowflake in January 2026 for approximately $1 billion.

Operating statusenum
Acquired
Ownership categoryenum
Headcount rangeband
101–250
akta.pro rankint
HeadquartersSan Mateo, United States
HQ citystring
San Mateo
HQ countrystring
United States
HQ regionstring
North America
Markets served

Serves global market

Offices4 records

Each record includes

City, Country, Type, Description, Source

Keyword5 values
cloud observability platform, AI-powered SRE, log management software, application performance monitoring, infrastructure monitoring
Industry1 code
1Distributed Tracing
CodeHDABAJADPrimaryYes
NAICS code1 code
  • Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services51821
SIC code1 code
  • Services-Computer Programming, Data Processing, Etc.7370
Product category
Cloud Observability / Monitoring Software
GTM motion3 records

Each record includes

Type, Description, Source

Revenue model2 records
1Observability Platform Subscription
TypeSubscription Recurring
Description

SaaS subscription for AI-powered observability platform. Pricing based on data ingestion, storage, and compute usage. Customers pay for data volumes ingested, acceleration costs, and query-related expenses.

observeinc.com
2Usage-based Pricing
TypeUsage Based
Description

Usage-based pricing model aligned with data lake economics. Storage costs approximately $0.0023/GB per month (based on Amazon S3 pricing). Acceleration costs typically ~50% of total bill, queries ~20%.

observeinc.com
Marketing channels5 records

Each record includes

Title, Type, Stage, Description, Source

Distribution channels4 records

Each record includes

Title, Type, Scope, Target buyer, Description, Source

Cost components5 values
Technology or R&D, Infrastructure, Personnel, Marketing or Sales, Operations
Pricing details1 tier
1Usage-based SaaS model with free trial
ModelUsage-basedBilling cadencePay-as-you-go
Notes

Free trial available for evaluation. Pricing based on data ingestion, storage (~$0.0023/GB/month), acceleration (~50% of bill), and query costs (~20% of bill). No upfront commitment required.

observeinc.com
GTM typeB2B
B2B
Offering typeSoftware
Software
Brand1 of 5 records shown
1AI SRE
Description

AI-powered Site Reliability Engineering tool that automates telemetry data analysis, root cause identification, and remediation suggestions for faster incident resolution.

observeinc.com
+4 more records
Core offering1 text field

Observe provides an AI-powered observability cloud platform that unifies logs, metrics, and traces into a single system built on an O11y Context Graph and O11y Data Lake architecture. The platform enables engineering and SRE teams to ingest, query, and correlate telemetry data for incident investigation and root-cause analysis. It is sold as a SaaS subscription with usage-based pricing aimed at enterprise engineering organizations.

Differentiator
Functional benefit
Problem solved
Quantifiable outcome1 of 7 values shown
  • 10x faster issue resolution (MTTR)
+6 more records
Product overview1 text field

Observe is an AI-powered observability platform offering a unified solution that combines log management, application performance monitoring (APM), infrastructure monitoring, and LLM observability. The platform is built on a proprietary architecture comprising the O11y Context Graph for semantic data relationships and the O11y Data Lake for cost-effective storage. Core capabilities include AI SRE (AI Site Reliability Engineer) for automated troubleshooting, Trace Explorer for distributed trace analysis, and comprehensive monitoring across cloud providers (AWS, Azure, GCP), Kubernetes, and 400+ integrations. Following Snowflake's acquisition in January 2026, Observe operates as a product within Snowflake's AI Data Cloud, offering native integration with Snowflake while maintaining its observability-focused feature set including the Observe Agent, MCP Server for AI agent connectivity, and specialized LLM Observability for AI workload monitoring.

Product and service1 record
1Observe Platform
Scale indicator10 records

Each record includes

Type, Value, Description, Source

Partnership5 partners
Strategic tierCoreTypeTechnology or Integration
Description

OpenTelemetry is the open-source standard for telemetry data collection that Observe supports natively. Observe's platform uses OpenTelemetry for vendor-neutral data collection, avoiding vendor lock-in for customers. This partnership enables broad compatibility with observability instrumentation across languages and frameworks.

Strategic tierCoreTypeTechnology or Integration
Description

Apache Iceberg is the open table format used by Observe's data lake for storing telemetry data. Iceberg enables open data formats that avoid vendor lock-in and enable data reuse across use cases (observability, security, compliance) from the same underlying dataset.

Strategic tierCoreTypeTechnology or Integration
Description

Observe's AI capabilities leverage large language models from providers like OpenAI for AI SRE functionality. The O11y Investigator uses AI agent workflows similar to OpenAI's approach to tool-augmented AI, enabling AI to call functions and interact with observability data.

Strategic tierCoreTypeTechnology or Integration
Description

Observe's AI SRE productivity analysis methodology was based on Anthropic's research approach for estimating AI productivity gains. Observe used Claude models for time estimation in their productivity study, and Anthropic's research methodology informed their AI assessment framework.

Strategic tierCoreTypeTechnology or Integration
Description

Observe's data lake is built on Amazon S3, enabling 10x compression and low-cost storage at approximately $0.0023/GB/month. AWS integrations include AWS-at-scale data ingestion, autodiscovery, and comprehensive monitoring capabilities.

Recent move6 records

Each record includes

Date, Type, Title, Description, Source

Expansion highlight6 records

Each record includes

Type, Description

Peers10 records
TypeDirect peer
Description

Elastic (ELK Stack) provides search-powered log analytics and observability, and is explicitly named as a displacement target on Observe's website, making it a directly comparable incumbent.

TypeDirect peer
Description

Honeycomb is an observability platform focused on high-cardinality event data and trace analysis for engineering teams, comparable in serving developer-led, debug-driven use cases overlapping with Observe's context-graph approach.

TypeEmerging player
Description

Chronosphere is a cloud-native observability platform targeting cost-controlled metrics with M3-based architecture, positioned similarly to Observe for enterprises seeking alternatives to legacy indexing tiers.

TypeDirect peer
Description

Datadog is the leading cloud-native observability platform offering unified infrastructure monitoring, APM, log management, and security on a SaaS model serving the same enterprise engineering buyers as Observe.

TypeDirect peer
Description

Splunk is the legacy index-based log analytics and observability incumbent that Observe explicitly targets for displacement with cost-efficient data-lake architecture and AI-native correlation.

TypeDirect peer
Description

Dynatrace offers an enterprise observability and AIOps platform with automated root-cause analysis, competing directly with Observe's AI SRE positioning and large-enterprise sales motion.

TypeDirect peer
Description

New Relic provides a unified APM, infrastructure, log, and browser monitoring platform on a consumption-based model, directly comparable to Observe's logs/metrics/traces bundle and SaaS delivery.

TypeDirect peer
Description

Grafana Labs is the open-source observability stack (Grafana, Loki, Mimir, Tempo) competing on open-standards telemetry and cost — the same wedge Observe pursues via OpenTelemetry and Apache Iceberg.

TypeDirect peer
Description

Sumo Logic is a SaaS log analytics and observability platform serving enterprise DevOps and security teams on a usage-based model, competing with Observe on similar telemetry pipelines and customer segments.

TypeEmerging player
Description

Sentry is an application error monitoring and performance platform that overlaps with Observe's APM/trace debugging capabilities for engineering teams, though it focuses more narrowly on error tracking than full-stack observability.

Market position
Strengths5 records

Each record includes

Headline, Details, Source

Weaknesses5 records

Each record includes

Headline, Details, Source

Competitive moat5 records

Each record includes

Type, Details

Key risks5 records

Each record includes

Headline, Details, Source

Key highlights7 records

Each record includes

Headline, Details, Source

Customer concentration

Classification, Details

Named customers10 records

Each record includes

Name, Industry, Type, Use case, Source, UUID

Segment3 records

Each record includes

Title, Type, Primary, Description, Pain point addressed, Use case, Source

Ideal customer profile2 records

Each record includes

Profile, Firmographic size, Sales motion, Sales cycle length, Buying structure, Purchase trigger, Buyer persona, Geography, Industry vertical, Primary use case, Description, Pain points, Evidence proof points, Target buyer

Technology focused
Yes
API detail
Has APIbool
Yes

Docs URL, Description

Integration33 records

Each record includes

Title, Type, Description, Source

AI capability8 records

Each record includes

Type, Description, Source

AI maturity
App detail

Has app

Feature14 records

Each record includes

Title, Differentiator, Description, Source

Core technology
Revenue estimate
Valuation estimate
Number of profiles
Profiles6 records

Each record includes

Name, Designation, Designation category, Overview, Profile commentary, Source

No data
No data
Funding overview

Funding stage, Last funding date, Total funding USD

Funding rounds7 records

Each record includes

Round, Amount USD, Date, Pre money valuation, Total investors, Investors, News

Investors7 records

Each record includes

Name, Type, Date of entry, Rounds participated, Website

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

M&A

Each record includes

Name, Acquisition type, Announced date, Completed date, Status, Website, News

Investment

Each record includes

Name, Round, Announced date, Lead investor, Website, News

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Observe

Cloud Observability / Monitoring Softwareobserveinc.com

Observe, founded in 2017, provides an AI-powered observability platform unifying logs, metrics, traces, and LLM monitoring, built on a proprietary context graph and Snowflake-backed data lake for enterprise engineering and SRE teams. Acquired by Snowflake in January 2026 for approximately $1 billion.

What Observe does

Observe, Inc., founded in 2017 by former leaders of Snowflake, Splunk, Wavefront, and Roblox, provides an AI-powered observability platform that unifies log management, application performance monitoring, infrastructure monitoring, and LLM observability in a single system. The platform is built on two proprietary architectural components: the O11y Context Graph, which structures logs, metrics, and traces as semantically related entities using incremental views and token indexes, and the O11y Data Lake, which stores telemetry in Apache Iceberg tables with 10x compression on low-cost cloud storage (~$0.0023/GB/month). Native construction on Snowflake's database layer underpins the cost and performance claims, including 13-month default data retention and 400+ pre-built integrations across AWS, Azure, GCP, and Kubernetes. AI capabilities center on the AI SRE product and the O11y Investigator agentic system, which together enable natural-language incident investigation, autonomous root-cause analysis, and CI/CD deployment validation.

Observe firmographics

Firmographics
Name
Observe
Legal name
Observe, Inc.
Website
https://observeinc.com
Company type
Private
Founded year
2017
Operating status
Acquired
Headcount range
101–250 employees
Short description
Observe, founded in 2017, provides an AI-powered observability platform unifying logs, metrics, traces, and LLM monitoring, built on a proprietary context graph and Snowflake-backed data lake for enterprise engineering and SRE teams. Acquired by Snowflake in January 2026 for approximately $1 billion.
Ownership category
akta.pro rank

Observe industry classification

Industry
Product category
Cloud Observability / Monitoring Software
NAICS
Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services (51821)
SIC
Services-Computer Programming, Data Processing, Etc. (7370)
akta.pro primary industry
Distributed Tracing (HDABAJAD)

Keywords

  • Cloud observability platform
  • AI-powered SRE
  • Log management software
  • Application performance monitoring
  • Infrastructure monitoring

Where Observe is headquartered

Location

Headquarters

HQ city
San Mateo
HQ country
United States
HQ region
North America

Offices4 records

Markets served

Observe business model

Business model
GTM type
B2B
Offering type
Software
Cost components
Technology or R&D, Infrastructure, Personnel, Marketing or Sales, Operations

Revenue model

  1. Observability Platform Subscription: SaaS subscription for AI-powered observability platform. Pricing based on data ingestion, storage, and compute usage. Customers pay for data volumes ingested, acceleration costs, and query-related expenses.
  2. Usage-based Pricing: Usage-based pricing model aligned with data lake economics. Storage costs approximately $0.0023/GB per month (based on Amazon S3 pricing). Acceleration costs typically ~50% of total bill, queries ~20%.

Pricing tiers

ModelBillingPrice
Usage-basedPay-as-you-goUsage-based SaaS model with free trial

Go-to-market motion3 records

Distribution channels4 records

Marketing channels5 records

Observe product offering

Product offering

Core offering

Observe provides an AI-powered observability cloud platform that unifies logs, metrics, and traces into a single system built on an O11y Context Graph and O11y Data Lake architecture. The platform enables engineering and SRE teams to ingest, query, and correlate telemetry data for incident investigation and root-cause analysis. It is sold as a SaaS subscription with usage-based pricing aimed at enterprise engineering organizations.

Product overview

Observe is an AI-powered observability platform offering a unified solution that combines log management, application performance monitoring (APM), infrastructure monitoring, and LLM observability. The platform is built on a proprietary architecture comprising the O11y Context Graph for semantic data relationships and the O11y Data Lake for cost-effective storage. Core capabilities include AI SRE (AI Site Reliability Engineer) for automated troubleshooting, Trace Explorer for distributed trace analysis, and comprehensive monitoring across cloud providers (AWS, Azure, GCP), Kubernetes, and 400+ integrations. Following Snowflake's acquisition in January 2026, Observe operates as a product within Snowflake's AI Data Cloud, offering native integration with Snowflake while maintaining its observability-focused feature set including the Observe Agent, MCP Server for AI agent connectivity, and specialized LLM Observability for AI workload monitoring.

Differentiator

Problem solved

Functional benefit

Brands

  • AI SRE: AI-powered Site Reliability Engineering tool that automates telemetry data analysis, root cause identification, and remediation suggestions for faster incident resolution.
  • Hubble
  • O11y Context Graph
  • O11y Data Lake
  • Observe by Snowflake

Products and services

  • Observe Platform

Quantifiable outcome

  • 10x faster issue resolution (MTTR)
  • +6 more outcomes

Companies that use Observe

Customer profile

Named customers10 records

Segments3 records

Ideal customer profiles2 records

Observe technology and API

Technology

Technology focussed Yes

API detail

Has API
Yes
API docs
API detail

Core technology

AI maturity

App detail

Integration33 records

AI capability8 records

Feature14 records

Observe partnerships and signals

Strategic signal

Partnerships

Five partnerships are on record, tiered core.

  • OpenTelemetrycoreTechnology or IntegrationOpenTelemetry is the open-source standard for telemetry data collection that Observe supports natively. Observe's platform uses OpenTelemetry for vendor-neutral data collection, avoiding vendor lock-in for customers. This partnership enables broad compatibility with observability instrumentation across languages and frameworks.
  • Apache IcebergcoreTechnology or IntegrationApache Iceberg is the open table format used by Observe's data lake for storing telemetry data. Iceberg enables open data formats that avoid vendor lock-in and enable data reuse across use cases (observability, security, compliance) from the same underlying dataset.
  • OpenAIcoreTechnology or IntegrationObserve's AI capabilities leverage large language models from providers like OpenAI for AI SRE functionality. The O11y Investigator uses AI agent workflows similar to OpenAI's approach to tool-augmented AI, enabling AI to call functions and interact with observability data.
  • AnthropiccoreTechnology or IntegrationObserve's AI SRE productivity analysis methodology was based on Anthropic's research approach for estimating AI productivity gains. Observe used Claude models for time estimation in their productivity study, and Anthropic's research methodology informed their AI assessment framework.
  • Amazon Web Services (AWS)coreTechnology or IntegrationObserve's data lake is built on Amazon S3, enabling 10x compression and low-cost storage at approximately $0.0023/GB/month. AWS integrations include AWS-at-scale data ingestion, autodiscovery, and comprehensive monitoring capabilities.

Scale indicators10 records

Recent moves6 records

Expansion highlights6 records

Observe competitors and assessment

Company assessment

Direct peers

  • Elastic: Elastic (ELK Stack) provides search-powered log analytics and observability, and is explicitly named as a displacement target on Observe's website, making it a directly comparable incumbent.
  • Honeycomb.io: Honeycomb is an observability platform focused on high-cardinality event data and trace analysis for engineering teams, comparable in serving developer-led, debug-driven use cases overlapping with Observe's context-graph approach.
  • Datadog: Datadog is the leading cloud-native observability platform offering unified infrastructure monitoring, APM, log management, and security on a SaaS model serving the same enterprise engineering buyers as Observe.
  • Splunk: Splunk is the legacy index-based log analytics and observability incumbent that Observe explicitly targets for displacement with cost-efficient data-lake architecture and AI-native correlation.
  • Dynatrace: Dynatrace offers an enterprise observability and AIOps platform with automated root-cause analysis, competing directly with Observe's AI SRE positioning and large-enterprise sales motion.
  • New Relic: New Relic provides a unified APM, infrastructure, log, and browser monitoring platform on a consumption-based model, directly comparable to Observe's logs/metrics/traces bundle and SaaS delivery.
  • Grafana Labs: Grafana Labs is the open-source observability stack (Grafana, Loki, Mimir, Tempo) competing on open-standards telemetry and cost — the same wedge Observe pursues via OpenTelemetry and Apache Iceberg.
  • Sumo Logic: Sumo Logic is a SaaS log analytics and observability platform serving enterprise DevOps and security teams on a usage-based model, competing with Observe on similar telemetry pipelines and customer segments.

Emerging players

  • Chronosphere: Chronosphere is a cloud-native observability platform targeting cost-controlled metrics with M3-based architecture, positioned similarly to Observe for enterprises seeking alternatives to legacy indexing tiers.
  • Sentry: Sentry is an application error monitoring and performance platform that overlaps with Observe's APM/trace debugging capabilities for engineering teams, though it focuses more narrowly on error tracking than full-stack observability.

Market position

Strengths5 records

Weaknesses5 records

Competitive moat5 records

Key risks5 records

Key highlights7 records

Customer concentration

Observe social profiles

Digital presence

Observe financial estimates

Financial estimate

Revenue estimate

Valuation estimate

Observe leadership team

Management profile

Number of profiles

Profiles6 records

Observe funding detail

Funding detail

Funding overview

Funding rounds7 records

Investors7 records

Funding detail is available on the Subscription and Enterprise plan.Contact sales →

Observe M&A and investment

M&A and investment

M&A

Investments

M&A and investment is available on the Subscription and Enterprise plan.Contact sales →

Frequently asked questions about Observe

What does Observe do?

Observe provides an AI-powered observability cloud platform that unifies logs, metrics, and traces into a single system built on an O11y Context Graph and O11y Data Lake architecture. The platform enables engineering and SRE teams to ingest, query, and correlate telemetry data for incident investigation and root-cause analysis. It is sold as a SaaS subscription with usage-based pricing aimed at enterprise engineering organizations.

Is Observe a public or private company?

Observe is a private company. It is currently acquired.

When was Observe founded?

Observe was founded in 2017. It employs 101 to 250 people.

Where is Observe based?

Observe is headquartered in San Mateo, United States, in the North America region.

How does Observe make money?

Two revenue lines are on record. Observability Platform Subscription is the primary driver. The others are usage-based Pricing.

Who are Observe's main competitors?

Direct peers on record are Elastic, Honeycomb.io, Datadog, Splunk, Dynatrace, New Relic, Grafana Labs and Sumo Logic. Emerging players are Chronosphere and Sentry.

Does Observe have an API?

Yes. Observe provides a public REST API accessible at https://docs.observeinc.com/ for managing service accounts, creating reference tables, and integrating with external systems. The API supports programmatic access to Observe's observability data and configuration capabilities. Developer documentation is at docs.observeinc.com.

What industry is Observe in?

Observe's product category is Cloud Observability / Monitoring Software. Its primary akta.pro industry code is HDABAJAD, Distributed Tracing. Its NAICS code is 51821 and its SIC code is 7370.

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Live signals
SnowflakeOpenTelemetry as an Enterprise Data AssetOpenTelemetry and Snowflake's Observe platform are presented as tools to treat telemetry as an enterprise data asset, connecting operational data with business context. The article argues that observability data should be retained and governed for analytics and AI, with Snowflake and Observe complementing each other across incident response and post-incident analysis.YahooSnowflake Lawsuits Confront AI Growth Deals And Expanding Data PlatformMultiple class action lawsuits have been filed against Snowflake alleging the company made misleading statements about how product efficiency gains and pricing changes affected consumption-based revenue, with shareholder filing deadlines approaching. Simultaneously, Snowflake has announced large multi-year AI deals with OpenAI and Anthropic, is acquiring observability company Observe, and has launched Cortex Code CLI, its first standalone AI developer tool. The article presents a complex picture where legal challenges are weighed against the company's continued expansion into AI infrastructure.The Software ReportSnowflake Plans Observe Acquisition to Boost Enterprise AI Observability SolutionsSnowflake has signed a definitive agreement to acquire Observe, an AI-powered observability platform, to integrate enterprise-grade observability capabilities into its AI Data Cloud. The acquisition aims to help organizations manage reliability at scale as telemetry volumes grow from terabytes to petabytes, treating logs, metrics, and traces as first-class data managed using open standards such as Apache Iceberg and OpenTelemetry. The combined platform is expected to support proactive operations by correlating telemetry with business data while reducing costs through economical storage and elastic compute, positioning Snowflake more deeply in the $51.7 billion IT operations management software market.SnowflakeSnowflake Closes Acquisition of Observe to Bring AI-Powered Observability to CustomersSnowflake has officially closed its acquisition of Observe, bringing AI-powered observability capabilities into its platform. The integration enables customers to troubleshoot issues up to 10 times faster while reducing costs, shifting operations from reactive monitoring to proactive, predictive management. As part of the transaction, Observe CEO and Founder Jeremy Burton has resigned from Snowflake's Board of Directors.Market ScoopCloud Data Observability MarketA market research report projects the global cloud data observability market will grow from USD 1.6 billion in 2025 to USD 17.5 billion by 2035, at a compound annual growth rate of 26.8%, driven by increasing cloud data complexity and demand for real-time analytics reliability. The report highlights North America as the dominant region with 39.6% market share, while software and solutions account for 81.4% of market adoption. In January 2026, Snowflake announced plans to acquire Observe, an AI observability platform, targeting the broader $50 billion+ observability market opportunity.ByteiotaSnowflake Drops $1B on Observe—Datadog’s NightmareOn January 8, Snowflake announced its largest acquisition ever—paying $1 billion for Observe, an AI-powered observability platform—representing a 33% premium over Observe's July 2025 valuation of $750 million. The acquisition signals Snowflake's aggressive push into the $50+ billion IT operations management market, directly positioning the company against established players Datadog, Dynatrace, and Cisco's Splunk. Despite the strategic rationale, Snowflake's stock fell 3% on the announcement as investors expressed skepticism about competing with purpose-built observability tools.CRN‘The Stars Aligned’: Observe CEO Spills The Tea On Snowflake’s Deal To Buy The Observability CompanySnowflake has announced plans to acquire Observe, an AI-powered enterprise observability platform, in a deal that builds on a seven-year technology partnership where Observe was exclusively built on Snowflake's database infrastructure. Observe CEO Jeremy Burton described the acquisition as a natural fit, noting their deep technical integration means minimal integration work remains and Snowflake's customer base will accelerate Observe's growth trajectory. Burton will lead the observability business unit under Snowflake CEO Sridhar Ramaswamy, framing the deal as beneficial for the team despite the company originally planning to pursue an IPO.CRNSnowflake To Buy Observe: 5 Things To KnowSnowflake is acquiring Observe, a data observability and AI agent platform, in a deal valued at around $1 billion. CEO Sridhar Ramaswamy said the purchase opens opportunities for partners, especially in the world of agents. The acquisition aligns with Snowflake's strategy to expand its total addressable market and integrate observability capabilities.BloombergSnowflake to Buy App Monitoring Program ObserveSnowflake is acquiring Observe, an app monitoring and observability platform, in a deal reportedly worth approximately $2 billion. The CEO described the acquisition as a game changer that will help customers identify application problems ten times faster while reducing costs by 3-4 times, citing examples like Topgolf resolving booth issues in seconds. Snowflake Intelligence, the company's AI agent product, is showing the fastest customer adoption and revenue growth in Snowflake's history.DevOps.comSnowflake Plans $1B Acquisition of Observe to Expand AI-Powered ObservabilitySnowflake has signed an agreement to acquire observability startup Observe for an estimated $1 billion, marking the largest acquisition in Snowflake's history, pending regulatory approval. The deal will integrate Observe's AI-powered telemetry analysis capabilities—including logs, metrics, and traces—directly into Snowflake's AI Data Cloud platform to help enterprises manage the operational complexity of large-scale AI systems. Observe, founded in 2017 and built natively on Snowflake, uses AI to correlate telemetry data, detect anomalies earlier, and identify root causes faster.