Executive answer
Self-host when infrastructure control, integration depth, or customization justifies operational ownership. For maximum privacy, pair the application with approved or locally hosted models, disable unapproved external services, keep files in controlled storage, and document every outbound data flow.
What does a self-hosted presentation architecture include?
A production architecture typically includes the web application, generation workers, a language model, optional image and search services, file storage, a database or task state, identity controls, and observability.
The request path begins when a user uploads a document or submits a prompt. The application extracts content, sends approved context to the configured model, generates a presentation structure, renders slides, stores the output, and returns an editor or download link. Async jobs may add queues, workers, retries, and webhook delivery.
Draw this path before deployment. Mark which components receive raw documents, extracted text, prompts, generated images, and final decks. That diagram becomes the basis for security review, vendor approval, retention policy, incident response, and cost modeling.
Does self-hosting keep presentation data private?
It can reduce exposure and improve control, but only when all configured processing services comply with your privacy requirements.
If the application runs on your server but sends an uploaded strategy document to an external model, the document still crosses your infrastructure boundary. The same is true for image generation, web search, crash reporting, remote fonts, and storage. Privacy claims should name the complete configuration rather than the deployment label.
Use data classification to decide which inputs are permitted. Configure approved providers, minimize transmitted context, encrypt data in transit and at rest, set retention limits, restrict logs, and give administrators a way to revoke access and delete generated artifacts.
How should teams secure a self-hosted deployment?
Place the service behind organizational identity controls, isolate secrets, constrain outbound access, scan images and dependencies, encrypt storage, and capture audit events without logging sensitive content.
Start with least privilege. Separate user access from administrative settings, use short-lived credentials where available, restrict upload types and sizes, and validate filenames and document parsers. Protect generation endpoints with rate limits and quotas because model calls and rendering can be resource intensive.
Treat generated files as sensitive by default. Use scoped download links, lifecycle policies, backups aligned with retention rules, and a deletion workflow. Keep the base application close to supported upstream releases so security patches do not become expensive merge projects.
How do you estimate capacity and total cost?
Model cost from concurrent jobs, average source size, slides per deck, model tokens, image generation, rendering time, storage, egress, and the engineering hours required to operate the service.
Presentation generation is bursty. A company-wide reporting deadline may create more load in one hour than the previous week. Test queue behavior, worker concurrency, timeouts, and retries with realistic documents, not only short prompts.
Compare total cost with a hosted API at several volume bands. Self-hosting can be attractive at scale or under strict controls, but a managed service may remain cheaper when internal platform capacity is limited. Include incident response and upgrade work in the estimate.
Decision matrix
Deployment models compared
Use a hybrid policy when different content classifications need different controls.
| Model | Best for | Your responsibility | Main tradeoff |
|---|---|---|---|
| Managed cloud | Fast adoption | Identity and usage policy | Less infrastructure control |
| Self-hosted + cloud models | App and storage control | App operations and vendor governance | Prompts may leave your network |
| Self-hosted + local models | Maximum processing control | Full stack and model operations | Highest operational complexity |
| Hybrid | Mixed data classifications | Routing and policy enforcement | More governance complexity |
Production readiness checklist
Use this list with a real source, template, and downstream reviewer.
- 1Document the end-to-end data-flow diagram.
- 2Approve every model, image, search, storage, and telemetry provider.
- 3Connect SSO or another organizational identity layer.
- 4Store secrets outside source code and rotate them regularly.
- 5Define backup, retention, export, and deletion policies.
- 6Load test generation queues and rendering workers.
- 7Assign owners for monitoring, upgrades, vulnerabilities, and incidents.
Frequently asked questions
Can Presenton be self-hosted?
Yes. Presenton provides an open-source deployment path and documentation. Review the current setup guide and provider configuration for the version you plan to operate.
Can I use local AI models?
Provider support depends on the current release and configuration. Even with a local language model, audit image generation, search, telemetry, storage, and fonts before calling the system fully local.
Is Docker enough for production?
Docker simplifies packaging, but production readiness also requires identity, secrets, storage, backups, network policy, observability, scaling, and a tested upgrade process.
When should I use the cloud version instead?
Use managed cloud when the content is appropriate for the service and your priority is fast deployment with minimal operational work. Self-host when control or customization has clear business value.
Primary references and further reading
Product capabilities and plans can change. These first-party and standards references are the best place to confirm current details.
