layline.io Blog

The Power of Data Orchestration with layline.io: A Ubiquity Unifi Showcase Scenario

In an age where data rules supreme, managing and orchestrating the vast sea of information has become the backbone of numerous businesses and industries.

layline.io: Revolutionizing Hamburg's IT Startup Scene with Event Data Processing Expertise

layline.io selected one of the most influential IT-Startups in Hamburg, Germany by EU Startup News.

H-Hotels.com - Digital Transformation with layline.io

The hospitality industry has seen significant technological advancements in recent years. This includes data integration software being one of the most critical tools that the industry can leverage to optimize their operations.

The advantage of event-based asynchronous data processing

In today's fast-paced world, every business is looking for better ways to process large volumes of data. Traditional data processing methods have their limitations, which is why companies are increasingly exploring event-based asynchronous data processing. In this article, we will look at the advantages of this technology and how it can benefit businesses in various industries.

layline.io - A Kafka Comparison

How does layline.io compare to Kafka? This is a question which we hear from time to time. We wonder why.

Sample Series: Http-Client-Requests

ReST interfaces are popular and abundant. We show you how to configure Http-Client requests within layline.io using Yahoo Finance as an example.

Sniffing Real-Time Data

It's hard to understand what's actually happening in complex processing scenarios. layline.io helps by providing probing tools to get insights into inner workings of complex Workflows at runtime.

ASN.1 Format Configuration

ASN.1 is still a popular data format. Learn how easy it is to configure any ASN.1 format in layline.io.

Damn that Data Format Hell

Dealing with complex data formats and changes can be daunting. Learn how layline.io tackles this challenge using a configurable grammar language.

Output to Kafka

Showcase on how to read data from a structured file, map record data, and output the data Kafka cloud.

Advantage of layline.io Workflows compared to traditional Microservices within layline.io using the K8S/Docker model

The traditional Microservices model on Kubernetes/Docker has some disadvantages which result in overly complex management and resource consumption. We explain the background and how layline.io can help.

Event-driven or bust!? Are you missing out if your business is not event-driven?

You may be missing out if you are *data-driven* only. In fact, every business is data-driven. But you should ask yourself what that really means, and whether it is sufficient for you tomorrow.

Fixing what’s wrong with Microservices

For some years now Microservices and Service-oriented architectures have been all the rage. But there are downsides. Can they be overcome?

Dealing with data-pressure in message-based systems

How to deal with data pressure in non-stop message-driven solutions and ensure non-stop uptime under load.