The Instance Reportcompute desk — instances & pricing

instances / Containers

Containers

4 instance spec cards filed under this workload class.

Containers2026-10-13 EKS vs. Fargate vs. EC2: The Real Cost of Running Containers on AWS workloadContainerized applications and microservices runtimeManaged Kubernetes control plane with three compute options: managed node groups, serverless container runtime, and self-managed virtual machines scalingHorizontal pod and node scaling, often event-driven via autoscalers costManaged node groups and serverless container runtime carry a control-plane and per-pod premium; self-managed virtual machines are the lowest raw compute cost but highest operational overhead ops High for self-managed virtual machines, moderate for managed node groups, low for serverless container runtime Running containers on a major cloud provider usually comes down to a choice between three broad execution models. Containers2026-10-13 Containers on EKS: Busting the Managed Kubernetes Cost Myth workloadContainerized long-running services and batch jobs scheduled onto a managed Kubernetes control plane runtimeContainer runtime orchestrated by Kubernetes, with the control plane operated by the provider scalingHorizontal pod autoscaling plus cluster-level node autoscaling; event-driven for queue workers costModerate to high relative cost, driven by control plane fees, idle node capacity, and data transfer ops Moderate to high, since the control plane is managed but workloads, networking, and capacity remain operator concerns Managed Kubernetes has a reputation problem. Containers2026-10-13 Stop Overpaying for Containers: Pick the Right Compute, Not the Hype workloadContainerized stateless and long-running services packaged as OCI-style images runtimeContainer runtime on shared or dedicated compute hosts, orchestrated by a scheduler scalingHorizontal pod or task replication, with optional event-driven and vertical adjustments costLow to moderate when right-sized; high when over-provisioned or idle ops Moderate to high, driven by scheduling, networking, storage, and image lifecycle management Containers have become the default packaging format for modern services, and that success has created a quiet cost problem. Containers2026-10-13 Run Containers Without Wasting Money: A Blunt Guide to Compute Choices workloadLong-running containerized services (APIs, web apps, background workers) runtimeContainer runtime on a host operating system, orchestrated or standalone scalingHorizontal (replica count) with some vertical headroom adjustments; event-driven for queue workers costModerate; dominated by idle reserved capacity and over-provisioned replicas ops Moderate to high, driven by orchestration, networking, and observability overhead Containers solved a packaging problem and quietly created a capacity problem.

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