Infrastructure

Production-Ready Open-Source Deployment

Open-source systems deployed with the architecture, hardening, and documentation that production infrastructure actually requires.

What most open-source deployments get wrong

Open-source software is free to deploy. The infrastructure to run it reliably in production is not. A significant proportion of self-hosted deployments that fail do so not because the software was inadequate, but because the deployment never met the operational bar required to sustain a production system.

The most common failure pattern: a developer or technical founder deploys a system on a weekend, it works, the team adopts it, and within six months there are undocumented configuration changes, no monitoring, a backup process that has never been tested, and an upgrade backlog that has grown beyond anyone's willingness to address. When something breaks, the recovery is painful because the system was never documented. When the person who set it up leaves, the institutional knowledge leaves with them.

Production-ready deployment addresses this by treating operational sustainability as a first-order requirement — not something to add later.

The production deployment standard we apply

Every system we deploy is held to a consistent standard before we consider it production-ready. This standard covers six areas.

First, architecture: the system is designed for the failure modes relevant to your environment — what happens when a disk fills, a service crashes, a network partition occurs. High availability is scoped to your actual requirements, not defaulted to maximum complexity.

Second, configuration management: all configuration is version-controlled and reproducible. No manual steps are required to rebuild the system from documented state.

Third, secrets management: credentials, API keys, and certificates are stored in a secrets manager, not in configuration files, chat history, or a shared spreadsheet. Rotation procedures are documented.

Fourth, monitoring and alerting: the system reports its health to an external monitoring stack. Alerts are configured for resource thresholds, error rates, and service availability. Someone actionable is paged when something is wrong.

Fifth, backup and recovery: backups run on a defined schedule, write to a location separate from the primary system, and are verified regularly. Recovery procedures are tested before the system goes live, not after the first incident.

Sixth, documentation: a runbook covers the most likely operational scenarios — service restart, backup restore, configuration change, upgrade procedure, and escalation path.

Staging before production

No system we deploy goes directly to production. Every deployment follows a staging-first process: the system is deployed to a staging environment that mirrors the production configuration as closely as possible, tested against your actual use cases, and verified before a production deployment is initiated.

Staging serves multiple purposes. It validates that the deployment process itself is reproducible. It provides a safe environment for testing upgrades before they are applied to production. It catches configuration issues that are invisible in a local environment. And it gives your team a place to evaluate the system before users are migrated onto it.

The staging environment is maintained after the production deployment. It is not a temporary scaffold that disappears once production is running.

What production means for ongoing operations

A system that meets the production standard at deployment does not automatically stay production-ready over time. Open-source projects release security patches. Dependencies age. Load patterns change. Infrastructure needs to be periodically reviewed against the current state of the software and the current demands of the business.

Our ongoing operations engagement covers the maintenance work required to keep a deployed system production-ready over time: applying security patches within defined windows, running version upgrades through the staging environment before production, monitoring for capacity issues before they become outages, and keeping documentation current as the system evolves.

The goal is a system that remains in the same operational state five years after deployment as it was on day one — governed, monitored, documented, and recoverable.

What you can expect

Outcomes of this engagement

  • Systems that meet a consistent production standard from day one
  • Reproducible configuration with no undocumented manual state
  • Tested backup and recovery procedures before go-live
  • Monitoring and alerting configured for your environment
  • Complete runbook documentation for operational scenarios
  • Staging environment maintained alongside production

TrySelfHost

Discuss Production Deployment

A strategy call covers whether this engagement makes sense for your current infrastructure and business stage. No sales pitch — a direct assessment of fit.

Common questions

Frequently asked questions

How is a production deployment different from a standard installation?

A standard installation means the software runs. A production deployment means the software runs reliably, is monitored, has tested recovery procedures, is documented for operational continuity, and can be maintained and upgraded without institutional knowledge risk. The gap between the two is where most self-hosted systems eventually fail.

What monitoring stack do you use?

We work with your existing monitoring infrastructure where it exists, and deploy appropriate open-source monitoring tooling where it doesn't. The specific stack depends on your environment and the systems being deployed. We do not mandate a particular platform.

Can you take over an existing deployment that wasn't done to production standard?

Yes. We typically begin with an audit of the existing environment — documentation gaps, configuration issues, missing backups, monitoring absences — and work through a remediation plan before assuming ongoing operational responsibility. We will be direct about what we find.

How long does a production deployment take?

A single-system production deployment, including staging, testing, and documentation, typically takes one to three weeks depending on system complexity and integration requirements. Systems with significant data migration requirements take longer.

Do you support cloud, on-premises, or hybrid environments?

All three. Cloud deployments run on your existing cloud accounts — we do not manage infrastructure through our own accounts. On-premises and hybrid deployments are assessed for their specific network and hardware constraints during the architecture phase.

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