Systems | Development | Analytics | API | Testing

The query execution graph provides performance insights to help you easily understand, troubleshoot and optimize your BigQuery analytics queries.

Every organization, big and small, relies on processes to get work done. Processes are the backbone of your success. But if left unchecked, your processes can spin out of control. That’s why business process management (BPM) tools are so essential. They provide a wide range of coverage to help you develop, automate, optimize, and orchestrate efficient processes.

API Summit 2023 is a wrap! Over the two-day conference (our sixth-annual event), we packed in over 40 hours of content in 100 sessions touching on everything from ensuring reliable connectivity to generative AI. We heard from investors about the future of APIs, as well as stories from users and customers from all over the world. And, of course, we also had plenty of Kong-related news to share. Here are some of the highlights from the event and a round-up of all the Kong news dropped this week.

There are now nearly 9 million apps worldwide, and practically all of them run on an internal clock. Financial apps are built on timestamped data. Office apps run on calendars. Social apps are defined by their feeds, timelines and anniversaries. So, as devs, we need to know how to compute date and time. JavaScript, the world’s most popular programming language, has plenty of helpful APIs, but they can throw up complications if you’ve never used them before.

Banking is a critical but highly complex industry. It is a highly regulated environment, and banking applications must be developed in compliance with privacy and security standards of the region the bank operates. Credibility is an invaluable asset to any financial institution, so they can’t afford to let any bugs, even the most minor, slip into production and impact the user experience.

Ever dealt with a misbehaving consumer group? Imbalanced broker load? This could be due to your consumer group and partitioning strategy! Once, on a dark and stormy night, I set myself up for this error. I was creating an application to demonstrate how you can use Apache Kafka® to decouple microservices. The function of my “microservices” was to create latte objects for a restaurant ordering service.

BigQuery query queues introduces a dynamic concurrency limit and enables queueing based on available slot capacity and how many queries are running.

In the age of digital transformation, understanding data integration is no longer a luxury but a necessity for businesses. Unravel the evolution, key emerging technologies, and potential roadblocks in this comprehensive guide.

Generative artificial intelligence (AI) is a game-changer, bringing with it the promise of unparalleled efficiency and the potential for entrée into new markets. As generative AI continues to soar in popularity, organizations are eager to tap into its transformative power. However, this enthusiasm should come with a side of caution. It’s critical that organizations develop a strong generative AI policy so the allure of new technology doesn’t lead to devastating mishaps.

Have you heard the phrase “AI won't replace humans - but humans with AI will replace humans without AI”? I personally love this quote because it perfectly encapsulates the nature of the anticipated workforce shift from the rise of generative AI. As I wrote back in 2017, the power of AI is not about machines supplanting human abilities, but rather about a symbiotic relationship between humans and AI. I think the Star Trek analogy I used then is standing the test of time…