Akamai Technologies Slashes Cloud Expenses by Whopping 70% Thanks to AI Agents on Kubernetes Platform

In a world ever more reliant on cloud computing, cost-efficiency has emerged as a daunting challenge. With enterprises projected to squander a staggering $44.5 billion on superfluous cloud expenditure this year alone, there’s a pressing need for smarter, leaner means of operation. Step in Akamai Technologies, which achieved an astounding feat in fiscal prudence, harnessing the power of AI agents operated by a Kubernetes platform to slash its cloud costs by an impressive 40-70%.

The ace in Akamai’s sleeve was Cast AI’s Application Performance Automation (APA), a composite of specialized agents that perpetually monitor, analyze, and act to improve vital elements of application performance. Driven by Machine Learning (ML) models reinforced by historical data, the APA boasts an impressively autonomous operational model. APA coupled with infrastructure-as-code (IaC) tools ensured an entirely automated platform across diverse clouds. Alongside, observability acted as an essential pillar, serving as the baseline rather than the target of their innovation.

Interlaced with a human-centered dimension, the system allowed for coexistence with existing workflows, securing data within dedicated Kubernetes clusters, and operating within the framework of Akamai’s complex cloud infrastructure. Akamai’s successful venture stands testament to the untapped potential of AI-backed systems steering cloud infrastructures. As enterprises progressively embrace cloud-based operations, their extraordinary feat offers a blueprint for seamless and cost-effective digital transition.