reactive event data processing at scale
layline.io is an opinionated event data processing platform designed for small to xxl distributed scenarios.
It utilizes the power of akka-streams wrapped in an easy-to-use configuration, deployment and execution framework.
Three simple steps to execution
Adjust. Deploy. RUN.
Build and change all of your event data processing needs in a few simple steps.
Step 1: Create & Adjust
Configure your event data workflows
Create an unlimited number of workflows for any processing need with the comprehensive Web-UI.
Combine real-time and batch.
Connect to anything.
Step 2: Deploy
Auto-Deploy to Target
Put your setup to work through one-click deployment and without downtime. Also works with CI tools and your DevOps setup.
Store an unlimited number of setups on your Cluster for fast switch-over from version to version.
Step 3: Run
Run, Operate, and Monitor
Run, operate and monitor via the Web-UI.
Connects and feeds metrics right into popular metric and log monitors such as Prometheus, Splunk etc.
At freenet, layline.io integrates numerous high-volume services and databases from private and public cloud.
It has replaced our legacy mission-critical solution with a cloud-native, resilient, scalable and real-time architecture. As a result, our resource requirements were reduced by an impressive 75%.
We made layline.io a first-class citizen in our technology stack and are working on further deployments.
Powerful Data Integration
The one event data processor you will need
A perfect combination between UI-assisted configuration and low-code business-logic.
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Fast
- It’s fast, really fast. And this translates to minimized latency, smaller hardware and much less cost.
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Elastic
- Automatically adapts to changing workloads and balances across nodes based on intelligent algorithms.
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Connected
- Connects to all popular and not so popular data sources and sinks. Both in real-time and batch.
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Distributed
- Deploys locally on a single node, or in geographically scattered environments as if it were one system.
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Immortal
- Nodes take on other Node's work until rejoin.
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Multi-OS
- Works on current Linux, MacOS and Windows operating system versions.
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Flexible
- Supports any processing and service scenario, no matter how individual by mere configuration.
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One-click deployment
- Deploy even to a multiple nodes with only one-click.
