Cloud or Private Deployment? How to Choose the Right Setup for Lumi

When adopting Lumi, companies first face a deployment decision: cloud subscription or Docker private deployment. Neither option is universally better — the right choice depends on a company's data sensitivity, in-house IT capability, and team size. Cloud subscription's main advantage is speed of setup. There's no need to build and maintain servers — companies can sign up, configure team members, and get started right away, with lower upfront cost. Updates, security patches, and new features are all maintained centrally by Lumi, so companies don't need to dedicate staff to tracking version upgrades. This model suits smaller teams without a dedicated in-house IT operations function, especially teams in the early stages of expanding overseas whose business model is still evolving quickly. Docker private deployment, on the other hand, puts the entire system on the company's own servers or private cloud environment, so data always stays within infrastructure the company controls. This suits companies with clear compliance requirements around where data is stored and who can access it — for example, those handling sensitive customer information or needing to meet industry- or region-specific data regulations. Private deployment typically involves a one-time licensing fee, but ongoing server maintenance, system updates, and troubleshooting fall on the company's own IT team, requiring a certain level of in-house technical capability. In practice, the decision comes down to a few factors: data sensitivity — teams handling trade secrets or regulated information are better served by keeping data within their own network via private deployment; in-house IT capability — whether there's staff and technical know-how to maintain a server environment; team size and growth trajectory — smaller or more volatile teams tend to benefit more from cloud's flexibility; and industry or target-market compliance requirements — whether there are mandatory rules about where data must be stored. Companies can weigh these factors against their own situation to choose the deployment model that best fits their pace of business.