platformOS is a model-based application development platform. Aimed at frontend developers and site builders, it provides for a flexible and limitless API-driven development approach while automating the whole DevOps infrastructure.
platformOS is a platform as a service (PaaS) that enables you to create and host anything from small websites to large enterprise applications and even entire SaaS products.
- Decoupled: Use frontend code to build custom workflows, B2B, and P2P solutions that interact with any 3rd party API.
- Scalable: Build on load balanced Cloud infrastructure running world-wide with data centers across the globe.
- Cloud-agnostic: Hosted by the biggest players on the Cloud as a Service market: Amazon Web Services, Google Cloud. More to come.
- Serverless: Where appropriate, we leverage serverless technologies to instantaneously scale parts of our system for spikes of load.
- Secure: Use our Secure Data Centers with added layers of security, and cater to country-specific security or legal requirements.
- Fast: Use Liquid templating and natively AMP-ready GraphQL data calls on a platform tuned for performance, regardless of your application's size.
- Extensible: Integrate your sites with virtually any 3rd party system that provides API access, or build your own APIs in platformOS.
- SEO-friendly: Build with Elasticsearch to maximize the benefits of full text search using our custom model.
A human-friendly data serialization standard used in platformOS for setting properties in configuration files. To learn more, visit the Official YAML Documentation.
A template language used in platformOS to build dynamic pages, and to provide dynamic configuration (e.g. based on currently logged in user). Use Liquid to provide authorization policy for forms and pages, or to specify notifications (email, SMS, API call).
To learn more about Liquid and how to use it in platformOS, check out our Liquid Documentation that includes an introduction for beginners, types, tags, filters, whitespace control, and detailed descriptions of platformOS-specific filters and tags — all of them demonstrated with examples.
A query language used to communicate with our data storages.
Check out platformOS code examples for GraphQL terms in our GraphQL glossary, and see detailed descriptions of queries, mutations, objects, scalars, interfaces, enums, and input objects in our GraphQL Documenation.
To help you quickly develop GraphQl queries, we provide a GraphiQL graphical user interface through the pos-cli. GraphiQL is a GraphQL editor with autocomplete and live docs that helps you structure GraphQL queries correctly.
To learn more about using GraphQL and the GraphiQL tool, explore our documentation topics on using GraphQL in platformOS.