As the AI ecosystem expands and becomes more complex, it will be increasingly important to consider DNS a mission-critical component of AI infrastructure. As evidenced by this week’s AWS outage, which affected thousands of companies and millions of customers, DNS is central to the performance, security, and seamless connectivity of data sources, AI models, and multiple cloud environments.

Check out the steps both cloud providers and their customers can take to mitigate the impacts of DNS failures – a worthwhile investment of time and resources based on the massive losses of high-profile outages this year.

The cost of the AWS outage is projected to range from $75 million per hour in direct (collective) losses to hundreds of billions for the entire global ripple-effect. It’s hard to believe single points of failure can have such far-reaching impacts, but AWS, Cloudflare, Google Cloud, and Oracle Cloud are just some examples of how vulnerable even the biggest companies are. “It demonstrates both how far we’ve come and where we still need to focus,” CEO Dolores Saiz of cloud consultancy The Server Labs told RCR. “Today’s cloud platforms enable dramatically faster recovery times, but only if businesses have architected for resilience from the start.”

Not only is resiliency in cloud platforms going to be increasingly important, but so, too, will resiliency in the modern network infrastructures. With AI going into every layer of network infrastructure, there will be a need for continuous evaluation in lab and live environments. The testing capabilities that will be particularly sought out for complex AI-enriched networks will be Network Digital Twin, Synthetic Test, and Continuous and Active Testing – all of which will help network service providers optimize network performance, service delivery and customer experience.