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Automation Cloud Cost Optimization DevOps Kubernetes EKS

EKS Compute Cost Optimization: The 5-Layer Stack That Cuts Spend 50-80%

August 02, 2026

9 MIN READ

EC2 compute savings that compound only in sequence: rightsizing, then node consolidation, then capacity type, then commitments. Covers the VPA/HPA feedback loop, Karpenter vs. Cluster Autoscaler consolidation, Fargate’s bin-packing ceiling, and a bin-packing-vs-startup-latency trade-off, closing with a 90-day rollout plan.

By Pini Ben-Nahum
VP of R&D

Automation Cloud Cost Optimization AWS FinOps Kubernetes

EKS Cost Optimization: A Practical Framework for Cutting Kubernetes Compute Costs

July 26, 2026

9 MIN READ

EKS cost control follows a three-tier order: rightsize workloads first, reduce unused node capacity via bin-packing/Karpenter second, then optimize commitments (Savings Plans) third. It also covers Graviton and GPU sharing as extra levers, then contrasts the ongoing manual effort this requires against Zesty’s continuous automation of all three tiers.

By Alexey Baikov
CTO and Co-founder

Automation Cloud Cost Optimization FinOps Kubernetes

Kubernetes Rightsizing Maturity Model: From Manual Guesswork to Continuous Automation

July 26, 2026

10 MIN READ

Kubernetes rightsizing waste comes from a gap between requested and actual resource usage. This piece defines a 4-level maturity model (gut-feel, manual, recommendation tools like VPA/Goldilocks/KRR, and continuous automation), explains why CPU and memory fail differently, and positions Zesty’s MDA/APP as the path to full automation.

By Alexey Baikov
CTO and Co-founder

Automation Cloud Cost Optimization FinOps Kubernetes

Kubecost vs Zesty: Cost Visibility or Automated Kubernetes Savings?

July 26, 2026

9 MIN READ

Introduction What’s the difference between Kubecost and Zesty? Kubecost shows you where Kubernetes spend goes. Zesty is built to act on it automatically, across compute, storage, and cloud commitments, without an engineer applying each fix by hand. That distinction is the real decision most teams evaluating a Kubecost alternative are […]

By Alexey Baikov
CTO and Co-founder

Automation Cloud Cost Optimization AWS FinOps Kubernetes

EKS Cost Optimization: A 4-Phase Framework to Cut Waste Without Risking Reliability

July 26, 2026

9 MIN READ

EKS bills run 30-50% higher than needed, mainly from overprovisioned worker nodes, not the control plane fee. This 4-phase framework (audit, rightsize, automate, govern) sequences fixes correctly – rightsizing before Savings Plans- to reach 40-60% savings without reliability risk, versus 10-15% when phases are skipped.

By Alexey Baikov
CTO and Co-founder

Automation Cloud Cost Optimization FinOps Kubernetes

K8s Cost Optimization: The 4-Level Maturity Model (And Why Most Teams Get Stuck at Level 2)

July 26, 2026

11 MIN READ

Kubernetes clusters waste 40-60% of compute, mostly from stale resource requests. Most teams stop at Level 2 (one-time cleanup), and savings erode within months without governance. HPA/VPA/node autoscaler conflicts reverse gains. Manual audits cap out around 100 workloads; true Level 4 requires automated, continuous rightsizing and coordination.

By Alexey Baikov
CTO and Co-founder

Automation Cloud Cost Optimization FinOps Kubernetes

Kubernetes Optimization: A 30-Day Roadmap (Plus the HPA/VPA/CAS Decision Matrix)

July 26, 2026

10 MIN READ

Kubernetes optimization requires solving two problems at once: cutting the resource waste sitting in oversized pods and nodes, and doing it without introducing the performance regressions that oversizing was originally meant to prevent. Most teams only manage one side of that trade. They run a single rightsizing pass, bank a […]

By Alexey Baikov
CTO and Co-founder

Automation Cloud Cost Optimization FinOps Kubernetes

Best FinOps Automation Tools for Cloud Cost Optimization in 2026

July 26, 2026

11 MIN READ

What’s the Real Difference Between FinOps Automation Tools? What’s the real difference between FinOps automation tools and the reporting dashboards they routinely get compared to? One shows you where cloud spend is going. The other changes the underlying resources to bring that spend down. That distinction gets lost in most […]

By Alexey Baikov
CTO and Co-founder

Automation Cloud Cost Optimization FinOps Kubernetes

Kubernetes Optimization: A 30-60-90 Day Roadmap to Cut Costs Without Hurting Performance

July 26, 2026

12 MIN READ

Kubernetes optimization actually requires three things done in sequence: a real baseline of how workloads use resources, targeted fixes ranked by impact, and automation that keeps the gains from eroding as workloads change. Most teams skip straight to the middle step: they run a single rightsizing pass, declare victory, and […]

By Alexey Baikov
CTO and Co-founder

Automation Cloud Cost Optimization AWS FinOps Kubernetes

Amazon EKS Cost Optimization: 10 Best Practices to Cut Kubernetes Costs on AWS

July 26, 2026

12 MIN READ

Introduction 49% of organizations reported an increase in Kubernetes costs over the past year, according to CNCF’s 2023 survey. The pattern behind that number is rarely Kubernetes itself. It’s overprovisioned pod requests, idle nodes, and autoscalers reacting to inflated numbers instead of real usage. Amazon Elastic Kubernetes Service (EKS) makes […]

By Alexey Baikov
CTO and Co-founder

Automation Cloud Cost Optimization FinOps Kubernetes

Kubernetes Resource Optimization: 5 Proven Strategies That Actually Work in Production

July 26, 2026

15 MIN READ

You deploy a microservice. You guess at CPU and memory. You cross your fingers. Then either OOMKilled pods or a surprise cloud bill remind you how wrong you were. Kubernetes resource optimization is the discipline of closing that gap: matching what a pod actually consumes against what it’s allowed to […]

By Alexey Baikov
CTO and Co-founder

Automation Cloud Cost Optimization FinOps Kubernetes

Kubernetes Cost Optimization: Complete Guide To K8s Cost Management For 2026

July 26, 2026

13 MIN READ

Introduction: Why Kubernetes Cost Optimization Is Urgent Quick answer: Kubernetes cost optimization is the practice of reducing cloud spend across K8s clusters without degrading performance, reliability, or developer velocity. The fastest path runs through three layers: granular visibility into where spend actually goes, autoscaling that keeps compute matched to real […]