Orchestrate Data with Intelligence

Traditional integration platforms treat data as opaque blobs and route based only on metadata (filenames, timestamps, etc.). layline.io's content-aware orchestration actually parses and understands your data, allowing you to make intelligent routing decisions based on real field values. For example, instead of routing all SWIFT messages to the same destination, layline.io can read the transaction amount and currency fields to route high-value transactions to a compliance queue while processing standard transactions normally—all in real-time with sub-millisecond latency. This means you can build complex, intelligent workflows in a single platform instead of chaining multiple tools together.

layline.io is built from the ground up for real-time streaming data. Unlike traditional batch-oriented integration tools, layline.io uses a reactive streams architecture with backpressure support to handle continuous data flows at scale. Our platform achieves <5ms latency and can process over 1 million messages per second on standard hardware. Whether you're processing IoT sensor data, financial transactions, or e-commerce events, layline.io handles streaming workloads natively. That said, layline.io also supports batch processing for scheduled jobs, file-based workflows, and historical data migration—giving you flexibility for any use case.

layline.io provides powerful format engines for JSON, XML, CSV, structured ASCII (fixed-width, delimited), ASN.1-based formats, and custom binary structures—all configurable through the visual editor. From these building blocks, you can define virtually any standard or proprietary format: financial messages (SWIFT, FIX), healthcare data (HL7, FHIR), EDI variants (X12, EDIFACT), telecom CDRs, and more. The visual Config Center lets you define complex formats without coding, while the extensible architecture supports programmatic customization when needed.

layline.io gives you both options—use what works best for your team. The Visual Config Center provides a no-code drag-and-drop workflow builder for quick setup, perfect for rapid prototyping. Alternatively, write custom logic in JavaScript or Python with full autocomplete and debugging support using either the Visual Config Center or your favorite IDE. Most teams use a hybrid approach: visual tools for workflow structure and code for complex business logic. The best part? Your code and visual config work together seamlessly.

layline.io is designed for schema evolution and handles data drift gracefully with flexible parsing (optional fields and conditional structures), default values for missing fields, support for multiple schema versions in the same workflow. Instead of rigid schema enforcement that breaks on minor changes, layline.io adapts to your data's natural evolution—keeping pipelines running even when upstream systems add or remove fields.

layline.io supports flexible deployment to match your infrastructure requirements: Cloud Native (deploy on Kubernetes with Helm charts, supports AWS, Azure, GCP), On-Premises (install directly on Linux/Windows servers in your data center), and Containerized (use Docker/Podman for development or production). All deployment options include the same features—choose based on your security, compliance, and operational requirements.

layline.io provides enterprise-grade reliability with multiple layers of protection: Error Handling (automatic retry with exponential backoff), Transaction Support (coordinated commits across multiple destinations), and High Availability (cluster-node failover). With 99.99% uptime SLA in production deployments, layline.io is trusted by telecom carriers and other organizations where data loss is not an option.

layline.io provides comprehensive observability for production operations including a built-in dashboard with real-time metrics, external integration with Prometheus, and configurable alerting via email, Teams. The system can be configured to trace every message end-to-end with full visibility into parsing, validation, transformation, and delivery steps.