Concept
Core concepts and architectural foundations of layline.io.
Overview
This section explains the fundamental concepts behind layline.io's design and operation. Understanding these concepts is essential before diving into specific assets and configurations. Here you'll find explanations of the platform's architecture, how data flows through the system, and the key abstractions that make layline.io work.
Getting Started with Concepts
| Topic | Description |
|---|---|
| Architecture Overview | System architecture including Config Server, Reactive Engine, and Cluster components. |
| What is layline.io? | Introduction to layline.io's philosophy, motivation, and core value proposition. |
| Data Dictionary | Understanding messages, events, and data structures in layline.io. |
Concept Categories
Workflow Configurations
Learn how to configure, deploy, and manage workflows in layline.io.
| Topic | Description |
|---|---|
| Getting Started | Quick start guide for creating your first workflow. |
| Workflow Configuration | Detailed guide to configuring workflows, assets, and connections. |
| Workflow Deployment | How to deploy workflows to Reactive Engine clusters. |
| Server Config Settings | Reference for server configuration settings. |
Configuration Server
Global settings and storage management independent of individual projects.
| Topic | Description |
|---|---|
| Introduction | Overview of Configuration Server settings and organization. |
| User Storage | Managing users, groups, roles, and access permissions. |
| Security Storage | Storing keys, certificates, and security credentials. |
| Cluster Storage | Defining and managing Reactive Engine clusters. |
| Application Settings | Configuration Center preferences and settings. |
Advanced Topics
Specialized concepts for advanced users and specific use cases.
| Topic | Description |
|---|---|
| User Storage (Advanced) | Advanced concepts for user storage management. |
| Security Storage | Comprehensive guide to secret and certificate management. |
| Prometheus Extension | Monitoring and metrics integration with Prometheus. |
| Artificial Intelligence | AI-powered features and capabilities in layline.io. |
Platform Comparisons & Use Cases
Understand how layline.io fits into the broader data processing landscape and explore real-world applications.
| Topic | Description |
|---|---|
| layline.io vs Alternatives | Compare layline.io with Apache Flink, Kafka Streams, Airbyte, and other platforms. |
| Common Use Cases | Real-world scenarios — ETL, event processing, API integration, monitoring, and more. |
How to Navigate This Section
| If you want to... | Start here |
|---|---|
| Understand the big picture | What is layline.io? |
| Learn about system components | Architecture Overview |
| Understand data structures | Data Dictionary |
| Configure your first workflow | Getting Started |
| Set up users and permissions | User Storage |
| Configure monitoring | Prometheus Extension |