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Meet Sed: Sedai's New AI Assistant Brings Conversation (and Action) to Cloud Optimization
Introducing Sed and Sedai's MCP integration: ask questions, take action, and extend it into your own agents.
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Azure AKS 2026: Pricing & Cost-Optimization
Understand key cost drivers in Azure AKS and discover strategies to reduce spend: control plane tiers, node sizing, storage/network costs and optimisation tips.
What Is Azure Blob Storage? Basics, Types, and Access Tiers
Learn Azure Blob Storage basics, key concepts, containers, and how Hot, Cool, Cold, and Archive tiers organize and optimize your data.
AWS EKS Kubernetes Pricing & Cost-Optimization Guide 2026
Explore Amazon EKS pricing: control-plane fees, EC2 worker node costs, data transfer and storage. Learn how to optimise your Kubernetes clusters on AWS.
Supercharging Karpenter with AI: How Sedai Takes Kubernetes Scaling to the Next Level
Optimize Kubernetes performance and cost with Karpenter and Sedai. Learn how AI-driven insights enhance node provisioning, predictive scaling, and instance selection.
Spot Instances in Kubernetes: Architecture & Cost Guide 2026
Cloud engineers can implement spot instances in k8s with smart mix of on-demand & spot, auto-scaling and cost-driving insights to reduce spend.
Automating Kubernetes Cluster Shutdowns for Cost Efficiency
See how engineering teams automate Kubernetes cluster shutdowns and restarts to cut costs and improve efficiency in 2026’s cloud environments.
Running Kubernetes on AWS Spot Instances: A Complete Guide for 2026
Learn how to run Kubernetes clusters on AWS spot instances with manual, automated, or autonomous management approaches to achieve 90% cost savings while maintaining reliability. Covers manual, automated, and autonomous approaches to instance selection and management.
RIP Underutilized Kubernetes Workloads?
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.