Extracting values from server responses is a common operation in scripting scenarios for performance testing. In most cases it is a mandatory step in order to reproduce realistic traffic using dynamic values generated on server side like sessionIds or Tokens. The most known way to extract values is using regular expression. While regular expressions are efficient for raw text-based responses, they are less efficient for structured responses like XML or JSON.

We all love the ease and affordability of SaaS (Software-as-a-Service) tools. We expect our SaaS apps to be available whenever we need them, building our business processes around this assumption. At WSO2, we are grateful that many organizations trust our SaaS solutions, and we continually work to ensure this trust is well-founded. It’s worth taking a moment to understand the impact when those mission-critical apps go offline. Just one minute of downtime can cost businesses thousands of dollars.

The topic of testing AI and ensuring its responsibility, safety, and security has never been more urgent. Controversy and incidents of AI misuse have increased 26-fold since 2021, highlighting growing concerns. As users quickly find out, AI tools are not infallible; they can make mistakes, display overconfidence, and lack critical questioning. The reality of the market is that AI is prone to error. This is exactly why testing AI is crucial. But how do we test AI?

Support for model fine-tuning in BigQuery takes input text (the prompt) and the expected output, and teaches the model to mimic the behavior.

When comparing the types of APIs (application programming interfaces), API architecture types and different API categories are incredibly important. The following article will discuss API architecture and protocol types (REST and SOAP) and three types of API categories (open, internal, and partner). Here’s the key things to know about the types of APIs your organization might need: Table of Contents.

From the end user’s perspective, the microapps and microservices often seem to provide the same functionality. However, development teams need to think about microapps vs. microservices when building products. Before you commit time to microapps or microservices architecture, take some time to consider how these options will affect user experience (UX), user interface (UI), and security of your websites, web apps, and mobile apps.

Organizations of all sizes and industries now have access to ever-increasing amounts of data, far too vast for any human to comprehend. So far in 2023 so far, the world produced and consumed 328.77 million terabytes of data per day — an almost unimaginable number. However, all this information is useless without a way to efficiently process it, analyze it, and reveal the valuable data-driven insights hidden within the noise.

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.

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.