We detected 119 customers using Backstage. The most common industry is IT Services and IT Consulting (21%) and the most common company size is 51-200 employees (30%). Our methodology involves discovering internal subdomains (e.g., backstage.company.com) and certificate transparency logs.
Note: We only track companies who start a self-hosted instance of Backstage on their own servers, or cloud infrastructure. We are also unable to detect churned customers for this vendor, only new customers
About Backstage
Backstage provides an open-source framework for building internal developer portals that centralize services, documentation, and tools in a single interface to streamline developer experience. Created by Spotify and donated to the CNCF, it features a software catalog, templates for creating new projects, and a plugin-based architecture for customization.
🔧 What other technologies do Backstage customers also use?
Source: Analysis of tech stacks from 119 companies that use Backstage
Commonly Paired Technologies
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Shows how much more likely Backstage customers are to use each tool compared to the general population. For example, 287x means customers are 287 times more likely to use that tool.
I noticed that Backstage users are platform engineering teams at cloud-native companies building sophisticated internal developer platforms. The extreme correlation with Argo CD, combined with Grafana and SonarQube, tells me these are organizations that have scaled to the point where they need to standardize how dozens or hundreds of engineers deploy and monitor services. They're not startups figuring things out, they're companies dealing with the operational complexity that comes with growth.
The pairing of Backstage with Argo CD makes perfect sense because both solve the "too many microservices" problem. Backstage creates a service catalog so developers can discover what exists, while Argo CD handles GitOps deployments. Add SonarQube to that mix and you see teams enforcing code quality standards across many repositories. The Grafana correlation reinforces this: when you have countless services running, you need unified observability, and Backstage becomes the front door to all those monitoring dashboards. These tools together suggest a company that has moved past scrappy execution into needing systematic governance.
The full stack reveals engineering-led organizations, likely Series B and beyond, that have hit the scaling wall. The presence of Figma Organization Plan indicates design systems and coordinated product work across multiple teams. Lacework showing up points to companies mature enough to care about cloud security posture management. These aren't companies acquiring customers through clever marketing funnels. They're product-led or sales-led companies that have achieved enough scale that internal tooling becomes a competitive advantage. Their engineering org probably has 50-plus people.
👥 What types of companies is most likely to use Backstage?
Source: Analysis of Linkedin bios of 119 companies that use Backstage
Company Characteristics
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Shows how much more likely Backstage customers are to have each trait compared to all companies. For example, 2.0x means customers are twice as likely to have that characteristic.
Trait
Likelihood
Industry: IT Services and IT Consulting
14.6x
Company Size: 51-200
4.3x
Company Size: 11-50
2.0x
I noticed that Backstage users span an incredibly wide range, but they share a common thread: they're companies where software and technology infrastructure is mission-critical to their operations, not just a supporting function. These aren't pure-play SaaS startups selling a single product. Instead, I see financial services companies managing complex lending platforms, retailers operating massive omnichannel operations, telecommunications providers running nationwide networks, logistics companies coordinating fleets and deliveries, and government entities digitizing citizen services. What unites them is operational complexity at scale, where internal developer platforms actually matter.
These are overwhelmingly mature, scaled organizations. The employee counts tell the story: I see dozens of companies with 1,000+ employees, many with 5,000+, and several massive enterprises with 10,000+. Even the smaller companies in the 50-200 range often have significant funding (Series A, Series B, or private equity backing) or are established businesses with decades of history. Very few are true early-stage startups. The presence of retail giants, telecommunications providers, airlines, and government agencies reinforces this.
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