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Cutting cloud waste at scale: Akamai saves 70% using AI agents orchestrated by kubernetes
Akamai needed a Kubernetes automation platform that optimized the costs of running its core infrastructure in real time on several clouds.
Cast AI has integrated into the Kubernetes ecosystem to help customers scale their clusters and workloads, select the best infrastructure and manage compute lifecycles, explained founder and CEO Laurent Gil. What Akamai really needed was a Kubernetes automation platform that could optimize the costs of running its entire core infrastructure in real time on several clouds, Shavit explained, and scale applications up and down based on constantly changing demand. Spot instances — where enterprises can access unused cloud capacity at discounted prices — obviously made business sense, but they turned out to be complicated due to Akamai’s complex workloads, particularly Apache Spark, Shavit noted.
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