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Introduction

Welcome to the Intino Wiki, your comprehensive guide to understanding the architecture, functionality, and operational framework of our advanced development platform. It is oriented to provision the demands of modern data-driven enterprises, enhancing their capability to manage and analyze data.

This platform is designed to automate and simplify the software development process using Model-Driven Engineering (MDE). It enables developers to build, evolve, and maintain software systems with greater efficiency and reduced complexity.


Architectural Vision

The ultimate goal of Intino is to develop a distributed system following big data architecture principles. Every distributed system should begin with a clear definition of the system and its structure. By doing it, organizations can lay the groundwork for a successful distributed system. This approach ensures that all subsequent development aligns with the desired architecture, leading to a cohesive and maintainable solution. Intino is structured into three pivotal aspects: Infrastructure, Business, and DevOps

Architectural Vision.
Architectural Vision.

This wiki aims to guide each aspect, offering clarity on the components and their contributions to the overall system. Whether you are a developer, a project manager, or a stakeholder, this wiki will provide you with the insights needed to understand the technical and operational capabilities of Intino.

  • Infrastructure: Discover the core components that form the backbone of Intino, ensuring seamless data management and security across the platform. Learn more.
  • Business Units: Learn how Intino integrates with business operations, facilitating efficient data processing and decision-making through advanced architectural designs and communication patterns. Learn more.
  • DevOps: Explore the continuous integration and delivery processes. Learn more.


DSLs

A significant aspect of Intino's architecture is its reliance on Domain-Specific Languages (DSLs). A DSL is a programming language tailored to a specific application domain. Unlike general-purpose programming languages, which are designed to be versatile and applicable to various tasks, DSLs focus on solving particular problems or tasks.

Intino provides a suite of specialized DSLs designed to streamline different facets of its technology framework, enhancing both development and operational efficiency.

  • Proteo is used for defining the business model, providing clear specifications of data structures and relationships critical for consistent application across platforms.
  • Konos facilitates the integration of business logic with external services by defining layers that handle interactions, such as APIs, user interfaces, and business processes. For the deployment and management of software artifacts,
  • Legio orchestrates the project model, handling dependencies and configurations akin to a project object model.
  • Ness Ness focuses on creating the structure for the datalake, which is crucial for supporting big data analytics and real-time data processing. It also defines the taxonomy of events within the system, ensuring that events are categorized and managed effectively for easy retrieval and analysis.

Benefits

  • Reduced Development Time and Costs: By utilizing Model-Driven Engineering (MDE) and Domain-Specific Languages (DSLs), Intino streamlines the software development process. This automation eliminates repetitive tasks and allows developers to focus on solving domain-specific problems, reducing overall development time and costs.
  • Faster Software Evolution and Customization: Intino's model-driven approach enables systems to evolve and adapt more quickly. With flexible, reusable components and architecture designed for modularity, developers can tailor solutions to meet changing business requirements or specific customer needs with minimal effort.
  • Higher Quality Products Tailored to Specific User Needs: The use of DSLs ensures that the software directly addresses the specialized needs of a given domain, resulting in fewer bugs and inconsistencies. The platform’s architecture also promotes consistent development practices, which improve overall product quality. This allows developers to deliver software that aligns more closely with customer expectations.

Getting Started

Ready to begin with Intino? Follow our Getting Started Guide to set up your development environment and create your first project.

Resources