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TEXXR

Chronicles

The story behind the story

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Observability service Observe raised a $156M Series C led by Sutter Hill Ventures; Snowflake, Madrona Ventures, Alumni Ventures, and others also invested

The Observe, Inc. business is on fire  —  3x Revenue LTM  —  3x MAU LTM … Observe, Inc. : 🚀 We just raised a $156M Series C to reshape software development for the AI age, through observability. …

TechCrunch Rebecca Szkutak

Context & Ripple Effects

Observe’s financing follows a $115M Series B led by Sutter Hill in 2024 and its earlier $35M Series A, showing a continuing investor commitment to the company’s multi-source monitoring approach.

Snowflake participated in the prior round as well as this one, making the relationship more consequential than a one-off venture investment as Observe reports rapid recent revenue and user growth.

First-order effects

  • Observe gains $156M to fund product development and go-to-market expansion, while Sutter Hill renews its lead-investor role.
  • Snowflake, Madrona Ventures and Alumni Ventures add financial backing and commercial credibility alongside the lead investor.

Second-order effects

  • The repeat Snowflake participation raises the strategic importance of Observe’s fit with data-platform customers, putting pressure on observability rivals to strengthen their own ecosystem distribution and data integrations.
  • A larger financing base lets Observe compete more aggressively for enterprise deployments, where buyers weigh monitoring breadth, data handling and vendor alignment together.

Third-order effects

  • If repeat investments by infrastructure-platform backers persist, observability is likely to become more tightly coupled to the data platforms that store and process operational telemetry, rather than remaining a wholly independent tooling layer.
  • That coupling can reshape vendor choice: customers may increasingly favor observability products with deep platform integrations, while independent providers must differentiate on cross-platform support and workflow value.

The trend: This round is one data point in the convergence of observability tooling and cloud data-platform ecosystems as AI-era software creates more telemetry to manage.