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TCP #32: Reduce Kubernetes cluster waste with Karpenter
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TCP #32: Reduce Kubernetes cluster waste with Karpenter

Kubernetes scalability isn't about having more. It's about having exactly what you need.

Amrut Patil's avatar
Amrut Patil
Dec 02, 2024
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TCP #32: Reduce Kubernetes cluster waste with Karpenter
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In the high-stakes world of Kubernetes infrastructure, scaling can make or break your entire operation.

Most companies spend 30-50% of their cloud on unused resources.

Does this sound familiar? As an engineer, you're not just building—you're managing budgets. Those legacy auto scalers are draining your company's resources.

Karpenter changes the game. It dynamically provisions nodes with laser-focused precision, turning cloud waste into cloud power.

In today’s newsletter issue, I discuss how you can use Karpenter to scale your Kubernetes cluster while optimizing for costs. Evolve or get left behind.

Source: Unsplash

Understanding Karpenter

Karpenter isn't just another autoscaling solution.

Unlike legacy approaches that incrementally add nodes with predefined configurations, Karpenter dynamically provisions exactly the compute resources your workloads need, precisely when they need them.

Think of it as a just-in-time inventory system for your Kubernetes clusters.

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The Core Problems Karpenter Solves

Kubernetes clusters often suffer from significant inefficiencies.

You're likely experiencing:

- Over-provisioned nodes sitting idle

- Slow scaling responses

- High cloud infrastructure costs

- Complex node group management

- Unpredictable resource allocation

Karpenter demolishes these challenges by introducing intelligent, rapid node provisioning that adapts to your workload's precise requirements in real-time.

Karpenter Architecture: How It Works

Imagine a hyper-intelligent system constantly analyzing your cluster's resource demands.

Karpenter does precisely this by:

- Watching pending pods

- Evaluating resource requirements

- Launching optimal EC2 instances

- Consolidating and removing unnecessary nodes

It uses sophisticated algorithms to determine the most cost-effective and performance-optimized node configurations, considering factors like instance types, availability zones, and specific workload constraints.

Getting Started: Implementing Karpenter on EKS

To transform your EKS cluster with Karpenter, follow these concrete steps:

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