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World desk4 min

How Operate First Made Open-Source Operations Part of the Work

Operate First brought open-source workloads and operational learning into one community cloud. Here is how the model worked, what its historical implementation included, and what is not confirmed today.
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Operate First is a community cloud built around a simple idea: open-source projects should learn from running their software, not just from writing it. It combined a place to host workloads with a peer-learning community where operators could share practices, observe software in use, and feed operational lessons back into development. The available descriptions document a historical environment, not a verified service that can be joined today.

What “operate first” means

In a conventional software workflow, development happens first and operations inherit the result. Operate First reverses that separation: deployment, operation, testing, and feedback become part of the development process. Running software is not merely the final step before handoff; it is a way to learn how the software behaves and what should change.

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The approach also extends open-source collaboration beyond source code. FOSDEM described the effort as opening operational procedures and data to community participation. The Linux Foundation characterized the cloud as a peer-to-peer mentoring environment for running software and learning site reliability engineering (SRE) practices. In that sense, Operate First was both an environment for workloads and a setting for practitioners to exchange production experience.

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How the feedback loop is meant to work

  1. Run a project in a shared environment. A workload gives its developers and operators a place to encounter real operational conditions.
  2. Make operations observable. Operational procedures and, where available, telemetry such as logs and metrics help participants understand what is happening.
  3. Discuss and change the software or its operation. Participants can use what they learn to propose changes to code, configuration, or procedures.
  4. Feed those changes back into the project. The intended loop connects operating experience with open-source development rather than leaving operational knowledge with a separate downstream team.

Red Hat Research describes this model in terms of real workloads, telemetry, operational feedback, and infrastructure-as-code practices. It is an explanation of an approach, not a controlled evaluation: the available descriptions do not establish that using the model measurably improves reliability, software quality, or career outcomes.

What the historical implementation used

The technology descriptions are dated and should be read as an account of the earlier environment, not as a statement of its current architecture. A Linux Foundation webinar recorded on October 5, 2021, names Kubernetes, ArgoCD, and Prometheus and discusses GitOps and bot automation for onboarding and back-office operations.

An August 2021 interview described a Kubernetes- and OpenShift-based environment spanning a bare-metal installation at Boston University, a cluster at Hetzner, and clusters in AWS. It said that operational procedures were documented on GitHub and that logs and metrics were publicly available. The interview also described project onboarding through a ticket, with operational configuration changes handled through pull requests and bot-assisted deployment.

These examples show how a community could combine different hosting locations with reviewable configuration and automation. They do not establish that those providers, clusters, public data, or onboarding steps are still in use. Nor do the descriptions amount to a recommendation that another community should copy the same hosting mix.

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What the reported scale tells you—and what it does not

The OpenInfra Foundation’s 2022 annual report presented Operate First as an OI Labs-incubated prototype. It reported approximately 250 community members and 50 projects, including OKD, OS-Climate, and Apicurio. Its infrastructure snapshot listed five clusters, 71 nodes, 1,582 cores, and more than 15 services, with Backstage and OpenDataHub among the examples.

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Every figure in that snapshot belongs to the report’s 2022 reporting period. The counts are not current measurements, performance benchmarks, or proof of the number of active workloads today. The report also described Operate First’s architecture as a blueprint for NERC; that historical relationship should not be read as evidence about either environment’s present status.

Why the community aspect matters to SRE practitioners

Operating software in public can make practical knowledge easier to share than it is when procedures and incident experience stay inside individual organizations. FOSDEM’s 2023 session framed the community as a place where experienced SREs could share knowledge and newer practitioners could gain experience with cloud-native projects in a production environment. That is the stated mentoring goal, rather than a measured result about career progression.

For project contributors, the corresponding benefit is a chance to consider operational needs alongside features and code. For operators, it offers a model for making operational work more legible and collaborative. The value depends on the community’s ability to maintain workloads, document decisions, and turn what it observes into useful upstream discussion.

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Can you join or deploy a workload there now?

Current service status, project roster, infrastructure, and onboarding availability are not established by the dated descriptions. The ticket-based route and public repositories, logs, and metrics were reported in the 2021 interview; they are not confirmation that those access paths remain open. Do not assume the environment accepts new workloads or that historical endpoints and practices are still available without checking current project channels.

If you are considering a similar community environment, treat these as questions to resolve before onboarding:

  • Which hosting locations and jurisdictions are acceptable for the workloads and their data?
  • Which configuration, procedures, logs, and metrics can participants see, and what access rules apply?
  • How are changes reviewed, deployed, and rolled back? Are configuration and operational changes managed through version control and automation?
  • Who maintains each workload, responds to operational issues, and mentors new contributors?
  • How will operational observations become actionable project changes rather than remaining detached from development?

Those are evaluation questions for communities planning an operating model; they are not claims that Operate First currently offers particular services or policies.

Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.

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