BrowserStack is a popular web and mobile testing platform. While the cross-browser testing tool has been the go-to for Quality Assurance (QA) teams and product managers since 2011, many are now turning to other solutions to simplify and automate their testing processes. But how do you pick the right BrowserStack alternative testing tool? Do you rely on user reviews, popularity, or the most budget-friendly option?

With the explosion of generative AI tools available for providing information, making recommendations, or creating images, LLMs have captured the public imagination. Although we cannot expect an LLM to have all the information we want, or sometimes even include inaccurate information, consumer enthusiasm for using generative AI tools continues to build.

If you’re one of those website owners or businesses that employ a Facebook live chat widget on their website, this post is more than critical for you. Facebook is very soon (May 9, 2024) about to terminate the operation of its live chat—the embedded widget that allows you to use it as your website chat plugin. Currently, countless users employ Facebook live chat on their websites. All these people must find alternatives to their current plugin once Facebook stops offering its live chat.

At Kong, we take the robustness and performance of our gateway product seriously, dedicating ourselves to maintaining high standards through a robust internal benchmark framework and infrastructure. Our setup includes a dedicated bare metal cluster for running performance tests, seamlessly integrated into our CI/CD process. Moreover, we conduct extensive performance testing for each major, minor, and patch release candidate.

Table driven tests, also known as parameterized tests, have became very popular over the past few years, due to their ability to eliminate repetition. Table driven tests make it quite a bit easier to re-use the same values for different sets of tests by just moving the table outside of the scope of the test function. Different tests may benefit from the same input, and each test may have completely different configration, concurrency etc…

The presentation of data is crucial, and altering its visualization, even when utilizing identical datasets, can significantly enhance our understanding. Consider, for instance, the evolution of app version visualization throughout a recent Countly product development cycle.

Calculating log analytics ROI is often complicated. For many teams, this technology can be a cost center. Depending on your platform, the cost of a log management solution can quickly add up. For example, many organizations use solutions like the ELK stack because the initial startup costs are low. Yet, over time, costs can creep up for many reasons, including the volume of data collected and ingested per day, required retention periods, and the associated personnel needed to manage the deployment.

The automotive industry has been undergoing significant changes as it works to adapt to growing market demands and challenges associated with electric, autonomous, and hybrid vehicles. Here, we take a look at some notable automotive trends 2024 that were highlighted in our report, 2024 State of Automotive Software Development. Read along or jump ahead to the section that interests you the most.

You can now query Delta Lake tables stored in Cloud Storage or Amazon Web Services S3 directly from BigQuery, without exporting or copying the data.

BigQuery supports multimodal embedding generation via Vertex AI models, and for structured data with PCA, Autoencoder or Matrix Factorization models.