Blog · Topic

Autoscaling

7 analyses tagged Autoscaling
Cloud Platform Engineering

AWS Prime Day 2026: The Infrastructure Numbers Behind Four Days of Peak Commerce

AWS's Prime Day 2026 numbers: 59 trillion DynamoDB requests and 2.3 trillion Lambda invocations a day. What that scale means for platform engineers.

Cloud Platform Engineering

Kubernetes v1.37: HPA Scale-to-Zero Is Now Beta and On by Default

The HorizontalPodAutoscaler can now scale workloads to zero replicas in Kubernetes v1.37 — what changed from alpha, how to configure it, and when not to use it.

Cloud Platform Engineering

How to Implement Predictive Autoscaling for GPU Workloads on Kubernetes

Reactive autoscaling can't keep up with GPU provisioning delays. This framework uses a Bi-LSTM predictor, burst detection, and a graduated scaler to close the gap.

Cloud Platform Engineering

Pulling Multi-Gigabyte Container Images in Seconds on Amazon EKS

SOCI lazy loading cuts a 1.3 GB container image pull from 20 seconds to 2.8 seconds on EKS — with no image format changes required. Here's the mechanism and how to enable it.

Cloud Platform Engineering

Why Queue Depth Beats CPU as a Kubernetes Autoscaling Signal

KEDA's SQS-based autoscaling replaces CPU and memory metrics with queue backlog — the metric that actually reflects whether an event-driven workload is under load.

Cloud Platform Engineering

GPU Autoscaling on Kubernetes with KEDA: Why CPU Metrics Fail AI Inference Workloads

KEDA's GPU external scaler reads VRAM and compute utilization via NVML, enabling scale-to-zero for AI inference pods — a different model than CPU-based Kubernetes HPA.

Cloud Platform Engineering

EKS Auto Mode: AWS Takes Over Kubernetes Node Management

Amazon EKS Auto Mode handles node provisioning, patching, scaling, and lifecycle automatically — built on Karpenter but fully managed. Here's what changes for platform teams and what doesn't.

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