
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.
Introducing Sed: Your cloud & AI assistant
Meet SedData egress is the charge cloud providers apply when data leaves a network boundary. Learn where egress costs come from, why they compound, & how workload-level attribution makes them actionable.
ECS vs Kubernetes: understand the architectural differences, cost optimization surfaces, & when each platform is the right choice for your team.
ECS vs. EKS comparison for real workloads. Learn when ECS's simplicity beats EKS's flexibility, how costs differ, and which service fits your team.
Cloud storage costs 40% of most AWS bills. Learn how storage classes, lifecycle policies, & autonomous optimization reduce S3, Blob, and GCS spend without breaking applications.
Cloud expense management is a governance problem, not a visibility problem. Learn how policy enforcement, chargeback, and autonomous optimization close the enforcement gap across AWS, Azure, and GCP.
Cloud rightsizing matches compute, memory, & storage to observed workload demand. This 7-step playbook covers EC2, Kubernetes, & Lambda rightsizing with canary validation & continuous enforcement.
Cloud complexity is growing faster than teams can manage manually. We share the approach Sedai uses to improve visibility, optimize resources, and adapt to change across cloud environments.
This week, developers are drowning in AI-generated PRs, and they’re sick of it. Is the role of the engineer fundamentally changing?