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Autonomy Is a Context Problem, Not a Model Problem
LLMs reason well, but autonomy requires context. AI autonomy depends on decision history and control loops — not bigger models.
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Bin Packing and Cost Savings in Kubernetes Clusters on AWS
Learn how efficient bin packing in Kubernetes can optimize resource allocation, reduce AWS EC2 costs, and enhance cluster performance.
Read storyThe Long Tail of Cloud Optimization: Are You Leaving Money on the Table?
Read storyMicro Optimizations, Macro Results: The Sedai Approach to Cloud Optimization
Read storyBeyond Recommendations: The Case for Autonomous Cloud Optimization
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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.
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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.
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6 Best Practices for Optimizing GKE Costs
Apply autoscaling, node-pool right-sizing, strategic pricing and pod-resource tuning in GKE to cut spend while maintaining performance.
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