Systems | Development | Analytics | API | Testing

With the rapid expansion of AI adoption, data center construction is accelerating around the world. Behind this boom, however, lies a growing concern: a serious shortage of electric power, as supply struggles to keep pace with soaring demand. Nowhere is this issue more visible than in the United States.

Running real integration tests for iOS projects is one of those problems that sounds straightforward until you're actually in it. The core tension: your backend runs on Linux, your iOS app can only build on Apple hardware. The two worlds don't meet naturally. Most teams end up mocking server responses in their mobile tests to isolate components without relying on backend services.

The future depends on a unified data architecture that can support everything from analytics and reporting to AI agents.

Templates in BigQuery Studio notebook gallery, now GA, help you bypass the setup phase and jump straight into discovery.

Slow database queries are really a pain. It’s easy to blame Django for taking ages to process a request, but the real issue may lie in an SQL query not doing what it should be. These performance degrading queries are often hiding in plain sight. By the time you notice them, they are already affecting your end users. AppSignal is an application performance monitoring (APM) tool with support for Python and Django out of the box.

Most real estate platforms feel they have a solid foundation with their existing data: listings, photos, pricing, and descriptions. This data is a powerful starting point. However, the real opportunity lies in transforming this raw input into genuine intelligence for critical decisions—like optimizing property pricing, refining search rankings, or personalizing listing recommendations. Raw listing data is the necessary input; adding context is the key to unlocking its massive, untapped value.