In the current digital age, cloud computing costs remain high, and enterprises generally waste resources in the efficiency of computing resource utilization. According to the latest statistics, it is estimated that this year companies will waste up to $44.5 billion on unnecessary cloud expenses. Akamai Technologies, a major provider of cybersecurity and content delivery services, faces complex multi-cloud infrastructure and stringent security compliance requirements, thus needing to find effective solutions to optimize cloud costs.
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To address this, Akamai introduced the Kubernetes automation platform Cast AI. With its AI agents, Akamai was able to real-time optimize cost, security, and speed in its cloud environment. After implementation, Akamai successfully reduced cloud spending by 40% to 70%, depending on the workload.
Dekel Shavit, Senior Director of Cloud Engineering at Akamai, emphasized that continuous methods for optimizing infrastructure and reducing cloud costs are crucial, especially when handling security incidents where delays are unacceptable. They need a solution that can real-time optimize core infrastructure across multiple cloud environments to meet constantly changing demands without affecting application performance.
With the help of Cast AI, Akamai's DevOps team no longer needs to manually adjust Kubernetes workloads each month. Hundreds of Cast agents automatically optimize every second. This process significantly improves the efficiency of cloud resource usage, ensuring that businesses can flexibly respond to sudden traffic spikes.
In addition, the core functions of Cast AI include automatic scaling, deep Kubernetes automation, automatically selecting the most cost-effective compute instances, and rationalizing workloads. Akamai obtained clear cost analysis within two minutes, something that was previously unachievable. By using Spot instances, Akamai not only reduced costs but also improved operational efficiency, allowing them to focus on delivering faster services to customers.
Shavit emphasized that the biggest gain was that Akamai's team no longer had to manage infrastructure; Cast AI's agents completed this task automatically, enabling the team to focus on developing new features and increasing product delivery speed.
Key Takeaways:
🌐 Akamai successfully saved 40% to 70% of cloud costs through the introduction of Cast AI.
🤖 Cast AI's automation technology enabled Akamai's DevOps team to achieve real-time optimization every second.
💡 Akamai's team therefore had more time to focus on delivering faster features and services to customers.
