Systems | Development | Analytics | API | Testing

Is SRE the Antidote to Developers Behaving Badly? with BobbyD

Pushing your code to production without testing? You might want to think twice. In this episode, Bobby Dorlus, founder and CEO of #TheTechHustle, shares the importance of test automation, site reliability engineering, and his advocacy of diversity within the industry. Tune in as Jason and Bobby analyze the stats and real-life debacles that happen when testing gets skipped, as well as those who should be responsible for testing. Spoiler alert—it’s not just the developers.

The Full Power of Data Apps is Here

We’re happy to announce that Data Apps, which have been in Public beta since September 2023, are finally here for everyone. We received great feedback from the Beta users, and we are excited to roll out Data Apps to general availability. There is also few updates, see "What's new" below. Data Apps is a functionality that allows Keboola users to create interactive web applications that can be infused with your company’s data. It’s quick and easy and only requires knowledge of Python.

7 Best Test Data Management Tools In 2024

In the rapidly evolving landscape of software development, efficient test data management (TDM) is crucial for ensuring high-quality applications. With the right Test Data Management tools, development teams can streamline their testing processes, reduce errors, and accelerate delivery cycles. In this blog, we will explore the 7 best test data management tools in 2024, focusing on their advantages, disadvantages, and pricing.

An Introduction to Auth0 for Ruby on Rails

From custom-made to plug-and-play forms of authentication, Ruby developers have plenty to choose from these days. Yet, as you may know, building your own solution can be costly and dangerous. If Devise is the de facto standard for most teams, an alternative might simplify the lives of most. This article will cover the setup and use of Auth0 in a Ruby on Rails application, including everything you need to get going properly, from handling roles to relying on multiple providers to authenticate users.

Exploring the Node.js Native Test Runner

The inclusion of a stable test runner in Node.js(version 18+) has generated significant debate in the community, given the abundance of established third-party testing frameworks. While its arrival naturally sparks comparisons to existing tools, this article won't focus on justifying its place in the ecosystem. Instead, we'll embark on a hands-on exploration of the test runner's core capabilities, from writing and executing tests to organization and customization features.

Embedded Software Security for Industry 4.0 and the Internet of Things

Technology is booming now more than ever, and every day brings new products and functionality for every unimaginable task. It is not just about mobile apps and computers anymore; instead, it is all about embedded systems and Internet-of-Things (IoT) devices that have quickly become so commonplace, both in our day-to-day lives and in industries like industrial automation.

S1.E11: Outsourcing QA | QA Therapy Podcast

Outsourcing testing often comes with a bundle of misconceptions, but today, we're breaking through them all! Joining us as our expert QA Therapists are Lucía Lavagna and Federico Toledo. Federico, the COO of Abstracta and a seasoned speaker in testing conferences, brings invaluable insights into testing services. Lucía, the Chief Growth Officer at Abstracta, complements this with her expertise in driving organizational growth.

Understanding API Endpoint: A Beginner's Guide

An API endpoint, often referred to as an endpoint URL, is a specific URL that allows access to a particular resource on a server, facilitating communication between different systems. It’s crucial for developers as it enables them to integrate and utilize functionalities from other systems, like payment gateways or social media platforms, streamlining their development process.

Confluent Cloud for Apache Flink | Interactive Tables for Flink SQL Workspaces

When developing or debugging a stream processing pipeline with Flink SQL, it’s common to inspect each processing step's output to ensure data is being transformed properly. However, comprehending the resulting data stream's structure, distribution, and characteristics entails executing multiple ad-hoc SQL queries, which can be time-consuming and tedious. Additionally, isolating specific subsets of the stream for analysis or debugging often involves even more queries, adding to the complexity and time required.