Autoscaling on Support Tools

Karpenter for EKS: A Comprehensive Guide to Efficient Kubernetes Autoscaling

Tue, 06 Oct 2026 09:00:00 -0500

Karpenter for EKS: A Comprehensive Guide to Efficient Kubernetes Autoscaling

Kubernetes autoscaling has traditionally been a balance between maintaining enough capacity for workloads and controlling cloud costs. Karpenter introduces a more efficient approach to this challenge, providing just-in-time compute resources that perfectly match your workload requirements. This guide explores Karpenter’s architecture, implementation strategies, and advanced configurations for optimal EKS cluster management.

What is Karpenter?

Karpenter is a flexible, high-performance Kubernetes cluster autoscaler designed specifically to optimize compute resource allocation. Unlike traditional autoscalers, Karpenter works directly with your cloud provider to provision the exact infrastructure needed for your workloads.

Kubernetes Vertical Pod Autoscaler Implementation: Resource Optimization Guide

Sat, 12 Sep 2026 00:00:00 -0500

The Vertical Pod Autoscaler (VPA) automatically adjusts CPU and memory requests and limits for containers based on historical usage patterns. This guide covers VPA implementation strategies, recommendation modes, update policies, and best practices for production environments.

Kubernetes Horizontal Pod Autoscaler Tuning: Advanced Scaling Strategies for Production

Fri, 28 Aug 2026 00:00:00 -0500

The Horizontal Pod Autoscaler (HPA) automatically scales workloads based on observed metrics. Effective HPA tuning requires understanding scaling algorithms, metric collection, and workload characteristics. This guide covers advanced HPA configurations, custom metrics integration, and production optimization strategies.

10 Practical Tips to Tame Kubernetes

Tue, 01 Jul 2025 00:00:00 -0500

Kubernetes is a powerful tool for managing containerized workloads—but with great power comes great complexity. Whether you’re just starting with Kubernetes or looking to tighten up your production clusters, these 10 practical tips (plus a bonus) will help you reduce pain, improve resilience, and simplify day-to-day operations.

Fine-Tuning Kubernetes HPA: Configurable Tolerance in v1.33

Thu, 26 Jun 2025 09:00:00 -0500

Kubernetes v1.33 introduces a game-changing enhancement to the Horizontal Pod Autoscaler (HPA): custom tolerance values for each workload. This long-requested feature gives platform engineers granular control over scaling behavior, addressing one of the most significant limitations in Kubernetes autoscaling.