Cloud infrastructure is evolving at lightning speed, and for many companies, keeping expenses under control has become a top concern. Akamai, best known for its content delivery and cybersecurity services, has pulled off a remarkable feat: the company managed to cut its cloud infrastructure costs by a massive 70%. It wasn’t luck—Akamai put its trust in an advanced automated platform powered by artificial intelligence, designed specifically for Kubernetes.
Akamai operates across multiple cloud providers, which brings a unique set of challenges. Balancing resources and keeping everything optimized in real time at that scale is just too complex for manual methods. What Akamai needed was a solution that could intelligently manage workloads, automatically trim away waste, and react quickly as demands went up or down.
To address this, Akamai turned to a sophisticated Kubernetes automation platform built around AI agents. These intelligent agents kept a constant eye on utilization trends and anticipated upcoming demand, allowing them to scale resources up or down as needs shifted. The best part? The system worked continuously behind the scenes—no hands-on tweaking required—delivering great performance while quietly reducing unnecessary costs.
The effects were dramatic. Not only did Akamai see a significant drop in cloud spending, but day-to-day operations became more reliable, and the platform itself could adapt more nimbly to sudden changes. For Akamai’s engineering teams, this automation meant less time tangled up in infrastructure management and more time dedicated to building new features and driving innovation.
Success stories like Akamai’s highlight just how much AI-driven automation can transform cloud operations. As more organizations embrace Kubernetes and multi-cloud setups, these intelligent platforms may well become the gold standard for keeping cloud costs manageable—and for empowering teams to focus on what matters most.
To learn more about Akamai’s journey and the tools they used to optimize their cloud spending, you can read the full original article on VentureBeat.
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