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Latest Posts

Deploy and scale high-performance background jobs with Koyeb Workers

Today, we are thrilled to announce workers are generally available on Koyeb! You can now easily deploy high performance workers to process background jobs in all of our locations. It's now simple to deploy workers from a GitHub repository and rely on our built-in CI/CD engine: simply connect your repository and we build, deploy, and scale your workers on high-performance servers all around the world.

How to Tune Kafka Connect Source Connectors to Optimize Throughput

Kafka Connect is an open source data integration tool that simplifies the process of streaming data between Apache Kafka® and other systems. Kafka Connect has two types of connectors: source connectors and sink connectors. Source connectors allow you to read data from various sources and write it to Kafka topics. Sink connectors send data from the topics to another endpoint.

Data Lake vs Data Warehouse

Data warehouses and data lakes represent two of the leading solutions for enterprise data management in 2023. While data warehouses and data lakes may share some overlapping features and use cases, there are fundamental differences in the data management philosophies, design characteristics, and ideal use conditions for each of these technologies.

10 Best Data Ingestion Tools for Data Teams in 2023

Tired of manually correcting broken data ingestion pipelines? We’ve got 10 tools that can help you save data engineering hours and automate data ingestion end-to-end. Of course, since you’ve landed on the Keboola blog, it's no surprise that we've got Keboola on the list. We’re playing favorites, but hear us out: Keboola is the only tool we know inside out and can vouch for it without a doubt.

C# Threading and Multithreading: A Guide With Examples

Building responsive and efficient applications in our rapidly-evolving digital world is more crucial now than ever. As software developers, we constantly look for ways to boost performance and improve the user experience. One such method is employing multithreading, a widely used yet often misunderstood feature. This comprehensive guide will dive deep into C# threading and multithreading. We’ll unpack what they are, their differences, and when and how to use each.

Introducing Data Export for Tricentis qTest

Making sense of testing is one of the biggest challenges our customers face in their day-to-day work. We’re excited to announce that the new Data Export capability in Tricentis qTest makes it easier for QA and engineering leaders to bring their teams’ work into context with data from across the business. Data Export makes your historical data available for download via API, seeded first by an initial download of historical data, then followed by a daily update.

What is a Data Warehouse & Why Are They Important?

In today's digital era, a data warehouse stands as a pivotal cornerstone for businesses. A data warehouse is defined as a digital repository that houses an organization's vast amounts of data, it serves as both a vault and a library, ensuring data is not only safely stored but also easily accessible. Being able to access your company’s data is critical to business success.

Data Migration with Microsoft SQL Server ETL Tools

Data integration and migration can be quite overwhelming and complex. It's easy to underestimate the complexities of managing data between different sources and destinations. However, diving into it without thorough planning and the right ETL (Extract, Transform, Load) setup could impact your business goals and deadlines, or even exceed your budget.

Introducing Confluent Platform 7.5

Introducing Confluent Platform version 7.5, which offers a range of new features to enhance security, improve developer efficacy, and strengthen disaster recovery capabilities. Building on the innovative feature set delivered in previous releases, Confluent Platform 7.5 makes enhancements to three categories of features: The following explores each of these enhancements and dives deep into the major feature updates and benefits.

An Evolution in Software Testing Reporting: Introducing Virtual Data Analyst for Katalon TestOps

In the complex and rapidly evolving landscape of software development, the ability to make swift, well-informed decisions can be the dividing line between success and missed opportunity. As development cycles shrink and user demands grow, navigating the waters of software testing requires not just precision, but also clarity. This is where Katalon TestOps steps in with its game-changing feature: Virtual Data Analyst (VDA), powered by GPT technology.