Today we're excited to announce Kong Gateway 3.9! Since unveiling Kong Gateway 3.8 at API Summit 2024 just a few months ago, we’ve been busy making important updates and improvements to Kong Gateway. This release introduces new functionality around LLM support for AI governance and security and threat protection. Keep reading to learn more!

Integrating OpenAI with BigQuery unlocks powerful possibilities for AI-powered data analysis and advanced insight generation. This guide explores how the OpenAI BigQuery integration enables businesses to transform their data warehouses into intelligent analytics powerhouses.

Transferring data from Google Sheets to BigQuery is a common task for data analysts in mid-market companies. This process enables efficient data analysis and reporting by leveraging BigQuery's powerful querying capabilities. Based on my hands-on experience in the ETL field, here's a comprehensive guide to connect Google Sheets to BigQuery effectively.

APIs facilitate effortless communication and data exchange between applications and services. However, their inherent design, which codifies service capabilities within the API definition, makes them easily exploitable by malicious actors. API attacks in the US alone are projected to cost $506 billion this decade — and are expected to surge 996% by 2030. And API-related breaches lead to more leaked data than the average security breach, according to Gartner.

Businesses want to connect with their audiences through mobile applications; therefore, they have become the lifeline. When millions of apps compete for attention, the smallest glitch can frustrate users, dissatisfied with products, and otherwise be abandoned. Delivering a highly secure, seamless, and high-performance app that users want to use every day requires specialty and sound testing approaches. Outsourcing is a smart decision, given that it delivers seamless, high-quality apps.

Snowflake is one of the top cloud data warehouses. Regardless of the many documentations available, I have personally faced issues while carrying out Snowflake CDC (Change data capture). Therefore, I thought sharing everything a data practitioner should know about this before you start would be helpful. Let’s jump right into it!

In today’s data-driven world, Large-scale error log management is essential for maintaining system functionality. It can be quite difficult to pinpoint the underlying causes of problems and come up with workable solutions when you're working with hundreds of thousands of logs, each of which contains a substantial amount of data. Thankfully, automating this process using fine-tuned AI models—like those from OpenAI—makes it more productive and efficient.