An emphasis on expedited time to market has made test automation an unavoidable necessity in an agile and fast-paced company environment. Automation testers are working hard to make sure that test cases match the features being added to the product as product development moves forward. For instance, even minor UI changes to the web application will cause the test automation scripts to alter if the tests are created without considering scalability and maintainability.

Are you looking to automate your cross browser tests using the Selenium web automation framework? If so, you must understand Web Elements and how to handle them in Selenium. Whether it’s locating Web Elements in Selenium or performing actions on them, interacting with Web Elements is a key part of any automated test script. In this article, we’ll discuss everything you need to know about Web Element handling in Selenium.

A data lakehouse is a data storage repository designed to store both structured data and data from unstructured sources. It allows users to access data stored in different forms, such as text files, CSV or JSON files. Data stored in a data lakehouse can be used for analysis and reporting purposes.

When it comes to WebRTC testing, there aren’t many feature-rich tools on the market. Loadero is one of those, testRTC is another widely known option, so we get questions about how those two compare frequently. To give a detailed answer to that question, we published this blog post in which we attempted to make a comprehensive comparison of the two tools.

Abstraction is one of the key concepts of object-oriented programming (OOP) languages. Its main goal is to handle complexity by hiding unnecessary details from the user. That enables the user to implement more complex logic on top of the provided abstraction without understanding or even thinking about all the hidden complexity. That’s a very generic concept that’s not limited to object-oriented programming. You can find it everywhere in the real world.

If you’ve ever worked with a database, you’ve likely worked with CRUD operations. CRUD operations are often used with SQL, a topic we’ve covered in depth (see this article, this one, and this one for some of our recent SQL tips and tricks). Since SQL is pretty prominent in the development community, it’s crucial for developers to understand how CRUD operations work. So, this article is meant to bring you up to speed (if you’re not already) on CRUD operations.

If you ever had to analyze an issue in production, I’m sure you know how important it is to have good logging. Good logging requires three things: While you still need to decide yourself which log messages you should write for each use case, you don’t need to worry about requirement 2 and 3. Various logging frameworks already solved these technical requirements. You only need to choose one of them and use it to write your log messages.

Who doesn’t love Apache Airflow? The Python-based open-source tool allows us to schedule and automate workflows with DAGs (Directed Acyclic Graphs). Data teams use Airflow for a myriad of use cases: from building ETL data pipelines to launching machine learning apps. The open-source tool makes workflow management easy: it is extensible, easy to monitor from the intuitive user interface in real time, and it allows you to build dependencies between jobs.

IT and data executives find themselves in a quandary about deciding how to wrangle an exponentially increasing volume of data to support their business requirements – without breaking an increasingly finite IT budget. Like an overeager diner at a buffet who’s already loaded their plate with the cheap carbs of potatoes and noodles before they reach the protein-packed entrees, they need to survey all of the data options on the menu before formulating their plans for this trip.

Business metrics provide a quantifiable way to measure the success of a business. They help organizations to track their progress internally while also serving as a way to communicate the performance of a business to stakeholders and external parties. There are hundreds of metrics that could be factored into these calculations, but they need to be specific to an organization to be effective.