Operations | Monitoring | ITSM | DevOps | Cloud

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.

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.

AI adoption continues to explode, and so do their costs. By mid-2025, enterprise LLM spend had already hit $8.4 billion, more than double the year before. And in a major shift, Anthropic recently overtook OpenAI as the enterprise leader. Their Claude models are now core tools for companies adding generative AI technology into their products and workflows. CloudZero recently announced we are the first cloud cost platform to integrate with Anthropic.

AWS Parallel Computing Service (AWS PCS) is a managed service that helps users run and scale their high performance computing (HPC) workloads. AWS PCS uses Slurm, an open source workload manager, for scheduling and orchestrating simulations, which enables users to build their scientific and engineering models in a familiar HPC environment.

When someone leaves your organisation — whether they resign, retire, or are let go — it’s easy to think the hard work is over. But the moment an employee’s last day arrives, a new risk window opens. If their access isn’t revoked properly or their data isn’t captured, organisations face security breaches, data loss, compliance issues, and rising costs. This is why a well-designed user off-boarding process is just as important as onboarding.

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.

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.