Systems | Development | Analytics | API | Testing

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…

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.

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.

Discover how to streamline your Gradle builds with the new Critical Path Analyzer and Diagnostic Builds features. It helps you to identify and resolve bottlenecks, quicker, making your build and test processes faster and more efficient.

insightsoftware is a global provider of reporting, analytics, and performance management solutions, empowering organizations to unlock business data and transform the way finance and data teams operate. In today’s data-driven world, application and development teams are facing a growing demand to empower their users with greater decision intelligence. This means equipping users with the tools and insights they need to make informed choices.

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.

BigQuery data canvas improves data analytics with a natural language-driven experience for data discovery, preparation, querying, and visualization.