Systems | Development | Analytics | API | Testing

When we first started using Playwright for automated testing, the built-in test runner and test reports seemed fine. It showed passed tests and failures, which worked for small projects. But as our large test suites and CI/CD pipelines expanded, the default test runner reports became limiting especially when analyzing detailed results from each test run, the default test runner reports became limiting—especially when analyzing large-scale test results.

AI Needs All Your Data. Your ETL Vendor Is Charging You to Keep It Locked Away. In this post, we explore why legacy ETL pricing models are fundamentally misaligned with the demands of modern AI workloads.

In the last decade, AWS has redefined how businesses build data pipelines. Its ETL toolset isn’t just about moving datasets, it’s about orchestrating security, compliance, scale, and efficiency. Whether you're migrating legacy data systems or building modern ELT workflows, AWS offers a robust, versatile stack of services to meet virtually any requirement.

During an exciting WWDC25, Apple announced it would skip some numbers and align all OS and software versions to 26. Summer has just arrived, but we’re already keeping our eyes on Apple's usual keynote event in September. The Bitrise team is gearing up for the stable Xcode 26 stack release. We're passionate about providing you with the latest and greatest, and this new Xcode release is no exception. However, we also want to give you a heads-up about what this means for our platform and for our users.

‍After 10 days since launching the Keboola MCP (Model Context Protocol) Server, we've gathered the most common questions from our data community. This article combines practical answers with best practices inspired by successful AI-assisted development patterns, helping you get the most out of your AI-powered data workflows.

Apache Kafka has evolved from a modest project into the backbone of data streaming for thousands of organizations worldwide. Whether through open source or cloud-native solutions such as Confluent Cloud, different types of users now interact with Kafka every day.

In today’s fast-moving tech world, microservices have become the backbone of modern applications. But with flexibility comes complexity, especially when it comes to testing. Unlike monolithic apps, testing microservices requires a different approach. Each service runs independently, and making sure everything works smoothly together is both important and challenging. In this blog, we’ll walk through what microservices are, why testing them matters, and how to approach them step by step.