Sedai Blog

Rightsizing Kubernetes Dev/Test Environments: Saving $500K/yr in 60 Days

A technology company achieved a 25% cost saving across 1,400 Kubernetes services with Sedai's autonomous optimization technology by rightsizing Dev/Test environments. AI-powered autonomous optimization optimized Kubernetes requests and limits in Kubernetes workloads and optimize instance count and type. An AI driven approach was more effective than manual optimization, especially given the small spend on each individual service. Optimization is a key capability of Sedai's autonomous cloud management platform.

Workload Rightsizing in Amazon EKS: Steps, Tools & Savings

Step-by-step rightsizing for Amazon EKS: Profile resource usage, tune pod requests/limits, use HPA/VPA/Cluster Autoscaler and apply recommendations.

Optimizing Cloud Storage: Unlocking Cost & Performance Gains with Autonomous Optimization

This blog explores cloud storage challenges and how Sedai's autonomous platform optimizes AWS services like S3 by monitoring data access patterns, reducing costs by 30%, and automating storage management for improved efficiency. Learn how Sedai simplifies cloud storage with real-time recommendations and optimizations.

Azure Kubernetes Service (AKS) Cost Optimization Guide 2026

Learn how to optimise AKS costs in 2026. Understand pricing models, rightsizing, autoscaling and cost-tools to reduce spend on Azure Kubernetes Service.

27 Best Kubernetes Management Tools for 2026

Discover the best Kubernetes management tools for 2026–27 to manage clusters, improve visibility, and scale operations with confidence. Read now!

15 Best Kubernetes Cost Management Tools for 2026

Discover the best Kubernetes cost management tools for 2026 to control spend, improve performance, and scale your clusters efficiently.

Kubernetes Cluster Scaling Challenges

In the ever-evolving landscape of application deployment, we have come a long way. Once upon a time, our applications found their home on physical servers. Then, as technology advanced, we embraced the realm of virtual machines. But now, in the present day, we have entered a new era where containers have taken the center stage for application deployment. Why did we make this shift? Well, it all boils down to addressing the challenges we encountered in the traditional and virtualized modes of deployment. Containers emerged as a powerful solution, offering us a way to overcome those hurdles and unlock new possibilities for efficient and flexible application deployment.

Kubernetes Autoscaling: How It Works and Best Practices

Learn how Kubernetes autoscaling works, including HPA and VPA, key use cases, and best practices to scale workloads efficiently.

Effective Strategies for OpenAI Cost Management in 2026

Optimizing OpenAI costs will be crucial for businesses seeking to leverage the power of AI while maintaining financial efficiency. Implementing cost optimization strategies not only helps manage expenses but also ensures that resources are allocated effectively, maximizing the value derived from OpenAI's services.