Operations | Monitoring | ITSM | DevOps | Cloud

Security expectations around data centres have changes, and it’s no longer enough to secure the perimeter or roll out a firewall policy. Today’s infrastructure relies on interconnected systems, from APIs and cloud endpoints to HVAC controls and building access tools, all of which can be targeted, misconfigured, or exploited.

The demands placed on digital infrastructure have changed. Businesses are adding locations, connecting to cloud platforms, or responding to changing compliance requirements. Rigid network contracts and fixed provider models no longer make operational sense. Carrier neutral data centres offer a different approach. By enabling provider choice, flexible routing, and integration on your terms, they give infrastructure teams more control, and more room to move.

Data centre energy use has become a critical factor in business infrastructure strategy. Once a background cost, it now plays a direct role in decisions about operational resilience, sustainability reporting, and future capacity planning. The scale of consumption is hard to ignore. Even smaller facilities can draw between 1 and 5 MW of continuous power, enough to supply thousands of homes. Larger hyperscale environments consume significantly more, 20 MW to over 100 MW of power.

Modern applications don’t process everything inside the request/response path. To keep APIs responsive, time-consuming work like image resizing, payment processing, or data syncs is moved into background queues. Workers then pick up these asynchronous jobs and run them outside the main thread. Asynchronous job monitoring is the practice of tracking these background tasks: Without this visibility, background workers become a blind spot.

Inconsistent SQL formatting is a silent productivity killer. The database will execute it, but for developers, poorly structured queries lead to slower reviews, harder debugging, and errors that slip through unnoticed. Over time, this lack of consistency compounds into costly technical debt. This guide shows how to format SQL code so it remains clear, consistent, and easy to maintain.

Tired of complex cloud setups? Explore the top 10 Fargate alternatives and discover how Qovery can simplify your container deployment, saving you time and money.

The popular narrative around AI economics is changing. At one time, Moore’s Law conditioned us to expect that smarter, faster computing would steadily get cheaper. When it comes to AI, that expectation holds true at the unit level. Per-token costs are indeed declining. But the number of tokens consumed per task is growing exponentially, making total costs spike. The tension here is important: on paper, inference is getting cheaper.