This is where Karpenter comes in.<\/p>\n
What You Will Learn<\/strong> Before understanding Karpenter, it is important to understand Amazon EKS. What is Karpenter?<\/strong><\/p>\n Karpenter is an open-source node provisioning tool for Kubernetes. Think of Karpenter like Uber<\/strong><\/p>\n A simple way to understand Karpenter is to compare it with Uber.<\/p>\n When you request an Uber, you don\u2019t decide: Before Karpenter, many Kubernetes environments used Cluster Autoscaler<\/strong>. Medium Instances Large Instances Let’s look at the complete flow.<\/p>\n Everything happens automatically.<\/p>\n No manual intervention is required.<\/p>\n Imagine an online shopping application.<\/p>\n During normal hours: Only a small amount of compute capacity may be required. Traffic suddenly increases: When the traffic decreases again, the additional capacity may no longer be necessary. Karpenter evaluates the requirements of pending workloads and available infrastructure options. Benefits of Karpenter<\/strong><\/p>\n 1. Cost Optimization<\/strong> 2. Faster Scaling<\/strong> 3. Less Manual Work<\/strong> 4. Better Resource Utilization<\/strong> <\/p>\n Does Karpenter Replace Amazon EKS?<\/strong> Karpenter and EKS have different responsibilities.<\/p>\n Think of them as teammates:<\/strong><\/p>\n Amazon EKS Amazon EKS<\/strong> Here are a few simple tips:<\/strong> \u201cKarpenter Creates Pods\u201d<\/strong> \u201cKarpenter Replaces Kubernetes\u201d<\/strong> \u201cKarpenter Only Saves Money\u201d<\/strong> Karpenter makes Kubernetes infrastructure management easier by automatically provisioning compute capacity when Kubernetes workloads need additional resources. Workload needs capacity When workloads decrease, Karpenter can also help consolidate or remove unnecessary capacity. Karpenter is an important tool for organizations running Kubernetes workloads on Amazon EKS.<\/p>\n The easiest way to remember its role is: By automatically provisioning and consolidating EC2 capacity based on workload requirements, Karpenter can reduce manual infrastructure management while improving resource utilization.<\/p>\n \u2022 Kubernetes manages Pods and workloads. \u2022 Amazon EKS Karpenter Best Practices<\/strong> https:\/\/docs.aws.amazon.com\/eks\/latest\/best-practices\/karpenter.html Introduction Imagine running a restaurant during lunch hour. Hundreds of customers suddenly arrive, so you quickly bring in more chefs and waiters. When the rush is over, keeping all those extra employees around would be unnecessary and expensive. Applications running on Kubernetes face a similar challenge. At certain times, an application may receive thousands of […]<\/p>\n","protected":false},"author":2182,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"iawp_total_views":2,"footnotes":""},"categories":[5877],"tags":[1217,248,6276,7502,8747,3965],"class_list":["post-81095","post","type-post","status-publish","format-standard","hentry","category-msp","tag-autoscaling","tag-aws","tag-cloudcomputing","tag-cloudcostoptimization","tag-karpenter","tag-kubernetes"],"aioseo_notices":[],"aioseo_head":"\n\t\t\n\t\n\t\n\t\n\t\n\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t
\nIn this article, we will cover:<\/strong><\/p>\n\n
What is Amazon EKS?<\/h2>\n
\nAmazon Elastic Kubernetes Service (EKS)<\/strong> is AWS\u2019s managed Kubernetes service.
\nThink of EKS as the manager of your Kubernetes environment<\/strong>. It manages things such as:
\n\u2022 Kubernetes applications
\n\u2022 Pods
\n\u2022 Desired application replicas
\n\u2022 Application health
\n\u2022 Scheduling workloads
\nHowever, EKS does not automatically decide which EC2 instance to create whenever the cluster runs out of computing capacity.
\nThis is where Karpenter becomes useful.<\/p>\n
\nIn simple terms, Karpenter automatically creates new compute capacity when Kubernetes workloads cannot be scheduled because the cluster does not have enough resources.
\nIn an Amazon EKS environment, this generally means Karpenter can provision suitable Amazon EC2 instances for pending Pods.
\nIt can also consolidate or remove underutilized capacity when it is no longer needed.
\nInstead of manually deciding:
\n\u2022 Which EC2 instance type to launch
\n\u2022 How many instances are required
\n\u2022 When additional capacity should be created
\n\u2022 When unnecessary capacity should be removed
\nyou define your requirements and let Karpenter make the provisioning decisions.<\/p>\n
\n\u2022 Which car should arrive
\n\u2022 Which driver should pick you up
\n\u2022 Which vehicle is most suitable
\nYou simply request a ride, and the platform finds an appropriate option.Karpenter<\/strong> works in a similar way.
\nYour Kubernetes workload effectively says:
\n\u201cI need more resources to run this Pod.\u201d
\nKarpenter<\/strong> evaluates the workload requirements and determines suitable compute capacity.
\nIt can consider factors such as:
\n\u2022 CPU requirements
\n\u2022 Memory requirements
\n\u2022 Architecture
\n\u2022 Instance types
\n\u2022 Availability zones
\n\u2022 Capacity type such as Spot or On-Demand
\n\u2022 Other scheduling constraints<\/p>\nWhy was Karpenter created?<\/h2>\n
\nCluster Autoscaler works with predefined Auto Scaling Groups and increases or decreases their size based on pending workloads.
\nFor example, you might configure several node groups:
\nSmall Instances
\n—————
\nm5.large<\/p>\n
\n—————-
\nm5.xlarge<\/p>\n
\n—————
\nm5.2xlarge
\nIf a workload requires additional capacity, Cluster Autoscaler generally scales one of these existing node groups.
\nThe problem is that the available node types are predetermined.
\nYou may have a workload that fits much better on another instance type, but if that instance type isn\u2019t available in your configured node groups, Cluster Autoscaler has fewer options.
\nKarpenter takes a more flexible approach by evaluating available instance options based on the workload requirements and provisioning suitable nodes.<\/p>\nHow Karpenter Works<\/strong><\/h2>\n
![\"a\"](\"https:\/\/www.tothenew.com\/blog\/wp-ttn-blog\/uploads\/2026\/09\/karpenter-2-1024x577.png\")
<\/p>\nA Real-Life Example<\/strong><\/h2>\n
\nTraffic
\n\u2193
\n100 users
\n\u2193
\nExisting capacity is sufficient<\/p>\n
\nNow imagine it is Black Friday.<\/strong><\/p>\n
\nTraffic
\n\u2193
\n10,000 users
\n\u2193
\nMore Pods are required
\n\u2193
\nExisting nodes don’t have enough capacity
\n\u2193
\nPods become Pending
\n\u2193
\nKarpenter detects the capacity requirement
\n\u2193
\nNew EC2 instances are provisioned
\n\u2193
\nPending Pods are scheduled<\/p>\n
\nKarpenter can help consolidate or remove unnecessary capacity, improving resource utilization and potentially reducing infrastructure costs.<\/p>\nWhat Decisions Does Karpenter Make?<\/strong><\/h2>\n
\nDepending on your configuration, it can select suitable options based on:
\n\u2022 EC2 instance type
\n\u2022 CPU capacity
\n\u2022 Memory capacity
\n\u2022 ARM or x86 architecture
\n\u2022 Availability Zone
\n\u2022 Instance family
\n\u2022 Spot or On-Demand capacity
\n\u2022 Kubernetes scheduling requirements
\nYou define the constraints and requirements; Karpenter handles the provisioning decision.<\/p>\nWhy People Like Karpenter<\/h2>\n
\nRunning oversized EC2 instances continuously can result in wasted capacity.
\nKarpenter can provision capacity based on actual workload requirements and consolidate underutilized nodes when appropriate.
\nThis can help reduce unnecessary infrastructure costs.<\/p>\n
\nWhen Pods cannot be scheduled because there is insufficient capacity, Karpenter can respond by provisioning suitable nodes.
\nThis helps applications obtain the compute resources they need without requiring administrators to manually resize node groups.<\/p>\n
\nWithout automated node provisioning, teams may need to:
\n1. Monitor cluster capacity.
\n2. Identify capacity shortages.
\n3. Modify node groups.
\n4. Add additional instances.
\n5. Remove unused capacity later.
\nKarpenter automates much of this process.<\/p>\n
\nKarpenter evaluates workload requirements when selecting capacity.
\nInstead of relying entirely on a fixed set of node types, it can select from compatible options based on your requirements.
\nThis can improve overall resource utilization.<\/p>\nKarpenter vs.\u00a0Cluster Autoscaler<\/strong><\/h2>\n
\n\n
\n Feature<\/strong><\/td>\n Cluster Autoscaler<\/strong><\/td>\n Karpenter<\/strong><\/td>\n<\/tr>\n \n Scaling model<\/td>\n Scales existing node groups<\/td>\n Provisions suitable nodes<\/td>\n<\/tr>\n \n Instance selection<\/td>\n Based on configured node groups<\/td>\n More flexible instance selection<\/td>\n<\/tr>\n \n Flexibility<\/td>\n More limited<\/td>\n Higher flexibility<\/td>\n<\/tr>\n \n Node provisioning<\/td>\n Through existing node groups<\/td>\n Directly provisions capacity<\/td>\n<\/tr>\n \n Configuration approach<\/td>\n Node-group focused<\/td>\n Workload\/constraint focused<\/td>\n<\/tr>\n \n Resource optimization<\/td>\n Depends on node-group design<\/td>\n Can optimize node selection and consolidation<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
\nNo.<\/strong><\/p>\n
\n\u2502
\n\u2502
\nManages Kubernetes
\n\u2502
\n\u25bc
\nKarpenter
\n\u2502
\n\u2502
\nProvisions compute capacity
\n\u2502
\n\u25bc
\nEC2 Instances
\n\u2502
\n\u25bc
\nKubernetes Pods<\/p>\n
\nEKS provides the managed Kubernetes control plane and Kubernetes environment.
\nKarpenter<\/strong>
\nKarpenter helps ensure that appropriate compute capacity is available for Kubernetes workloads.
\nSo, a simple way to remember it is:
\nEKS manages Kubernetes, while Karpenter helps provide the compute capacity required to run Kubernetes workloads.<\/strong><\/p>\nBest Practices<\/h1>\n
\n\u2705 Allow multiple EC2 instance families instead of only one.
\n\u2705 Use Spot Instances where possible to reduce costs.
\n\u2705 Set limits so Karpenter doesn’t create more capacity than you want.
\n\u2705 Monitor your workloads regularly.
\n\u2705 Keep Karpenter updated to benefit from improvements.<\/p>\nCommon Misunderstandings<\/h1>\n
\nNo.<\/strong>
\nKubernetes creates and manages Pods.
\nKarpenter provisions the compute capacity required to run those Pods.<\/p>\n
\nNo.<\/strong>
\nKarpenter works as part of the Kubernetes environment. It focuses primarily on node provisioning and capacity management.<\/p>\n
\nNot exactly.<\/strong>
\nCost optimization is an important benefit, but Karpenter can also provide:
\n\u2022 Flexible instance selection
\n\u2022 Automated node provisioning
\n\u2022 Better resource utilization
\n\u2022 Reduced manual operations
\n\u2022 Faster response to capacity requirements<\/p>\nSummary<\/strong><\/h1>\n
\nInstead of manually planning EC2 capacity for every workload, you define the requirements and constraints, and Karpenter evaluates suitable infrastructure options.
\nThe basic concept is simple:<\/strong><\/p>\n
\n\u2193
\nPod Pending
\n\u2193
\nKarpenter
\n\u2193
\nSuitable EC2 capacity
\n\u2193
\nPod Scheduled<\/p>\n
\nFor organizations running applications with changing workloads, Karpenter can improve infrastructure flexibility, simplify operations, and help optimize AWS costs.<\/p>\nConclusion<\/strong><\/h1>\n
\n\u00a0 \u00a0 \u00a0EKS manages Kubernetes, while Karpenter helps ensure there is enough suitable compute capacity to run the workloads.<\/strong><\/p>\nKey Takeaways<\/strong><\/h3>\n
\n\u2022 Karpenter manages Kubernetes compute capacity.
\n\u2022 Karpenter can dynamically provision suitable EC2 instances.
\n\u2022 It provides more flexibility than relying only on predefined node groups.
\n\u2022 It can help improve resource utilization and optimize costs.
\n\u2022 Proper limits, monitoring, and workload requirements are important for a successful implementation.
\nIf you\u2019re running Amazon EKS and frequently deal with changing workloads or manually managed node groups, Karpenter is worth exploring.<\/strong><\/p>\nLearn More<\/strong><\/h2>\n
\n\u2022 Karpenter Official Documentation<\/strong> https:\/\/karpenter.sh\/
\n\u2022 AWS Containers Blog<\/strong> https:\/\/aws.amazon.com\/blogs\/containers\/
\n\u2022 Amazon EKS Documentation<\/strong> https:\/\/docs.aws.amazon.com\/eks\/latest\/userguide\/<\/p>\n","protected":false},"excerpt":{"rendered":"