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Cutting cloud waste at scale: Akamai saves 70% using AI agents orchestrated by kubernetes
- Enterprises are expected to waste $44.5 billion on unnecessary cloud spending this year.
- Akamai Technologies faced challenges with a large, complex cloud infrastructure and strict security requirements.
- The company turned to Cast AI, leveraging AI agents within the Kubernetes platform to optimize cost, security, and speed.
- Using Cast AI, Akamai managed to reduce cloud costs by 40% to 70% depending on workload.
- Cast AI's Application Performance Automation (APA) uses machine learning models and reinforcement learning to optimize performance and efficiency.
- APA works through specialized agents that monitor, analyze, and improve application performance, security, efficiency, and cost.
- Integration into existing tools and workflows is supported by Cast AI, ensuring incremental adoption without complete replacement.
- Automation by Cast AI complements human decision-making, maintaining human-in-the-middle workflows.
- Akamai needed a Kubernetes automation platform to optimize cloud costs in real time across multiple clouds while ensuring performance.
- By utilizing Cast AI, Akamai achieved significant time savings by automating infrastructure management.
- Spot instances were effectively utilized by Cast AI for Akamai to reduce costs without manual intervention.
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