[{"data":1,"prerenderedAt":1063},["ShallowReactive",2],{"blog-en-kubernetes-cost-optimization-guide":3,"blog-en-kubernetes-cost-optimization-guide-alt":1053},{"id":4,"title":5,"author":6,"body":7,"date":1048,"description":1049,"extension":1050,"image":269,"locale":1051,"meta":1052,"navigation":1053,"path":1054,"seo":1055,"stem":1056,"tags":1057,"__hash__":1062},"blog\u002Fblog\u002Fen\u002Fkubernetes-cost-optimization-guide.md","The Complete Kubernetes Cost Optimization Guide: EKS\u002FAKS\u002FGKE vs Kubo Compared","Kubo Team",{"type":8,"value":9,"toc":1021},"minimark",[10,22,31,36,45,50,105,108,112,121,143,147,221,224,233,237,250,254,263,399,403,411,415,435,439,443,451,480,484,493,505,509,513,516,684,688,805,809,835,839,848,852,863,867,878,882,893,901,905,908,995,1008,1017],[11,12,13,14,21],"p",{},"Kubernetes powers modern cloud-native architectures, but without deliberate cost management, spending spirals fast. According to ",[15,16,20],"a",{"href":17,"rel":18},"https:\u002F\u002Fwww.cncf.io\u002F",[19],"nofollow","CNCF"," research, organizations without FinOps programs waste 32-40% of their cloud spend, while even mature teams still waste 15-20%.",[11,23,24,25,30],{},"This guide provides a systematic approach to Kubernetes cost optimization, compares EKS, AKS, and GKE pricing head-to-head, and demonstrates why ",[15,26,29],{"href":27,"rel":28},"https:\u002F\u002Fkubo.hexabase.io\u002F",[19],"Kubo"," offers compelling value at just ¥48,000\u002Fmonth (~$320\u002Fmonth).",[32,33,35],"h2",{"id":34},"managed-kubernetes-pricing-eks-vs-aks-vs-gke","Managed Kubernetes Pricing: EKS vs AKS vs GKE",[11,37,38,39,44],{},"Based on ",[15,40,43],{"href":41,"rel":42},"https:\u002F\u002Fsedai.io\u002Fblog\u002Fkubernetes-cost-eks-vs-aks-vs-gke",[19],"2026 managed Kubernetes pricing analysis",", here is a comprehensive cost comparison across the three major platforms.",[46,47,49],"h3",{"id":48},"control-plane-costs","Control Plane Costs",[51,52,53,69],"table",{},[54,55,56],"thead",{},[57,58,59,63,66],"tr",{},[60,61,62],"th",{},"Platform",[60,64,65],{},"Control Plane Cost",[60,67,68],{},"Monthly Estimate",[70,71,72,84,95],"tbody",{},[57,73,74,78,81],{},[75,76,77],"td",{},"Amazon EKS",[75,79,80],{},"$0.10\u002Fhour\u002Fcluster",[75,82,83],{},"~$72",[57,85,86,89,92],{},[75,87,88],{},"Azure AKS",[75,90,91],{},"Free",[75,93,94],{},"$0",[57,96,97,100,103],{},[75,98,99],{},"Google GKE",[75,101,102],{},"$0.10\u002Fhour (regional)",[75,104,83],{},[11,106,107],{},"While AKS's free control plane looks attractive, control plane fees represent less than 5% of total spend. The real costs lie elsewhere.",[46,109,111],{"id":110},"true-cost-at-scale-200-nodes","True Cost at Scale (200 Nodes)",[11,113,114,115,120],{},"According to ",[15,116,119],{"href":117,"rel":118},"https:\u002F\u002Fleanopstech.com\u002Fblog\u002Feks-vs-gke-vs-aks-pricing-2026\u002F",[19],"LeanOps analysis",", at 200-node scale the monthly costs are:",[122,123,124,132,138],"ul",{},[125,126,127,131],"li",{},[128,129,130],"strong",{},"amazon eks",": ~$46,200-month",[125,133,134,137],{},[128,135,136],{},"GKE Autopilot",": ~$51,700\u002Fmonth",[125,139,140,142],{},[128,141,88],{},": ~$43,000\u002Fmonth",[46,144,146],{"id":145},"hidden-costs-you-are-missing","Hidden Costs You Are Missing",[51,148,149,165],{},[54,150,151],{},[57,152,153,156,159,162],{},[60,154,155],{},"Item",[60,157,158],{},"EKS",[60,160,161],{},"AKS",[60,163,164],{},"GKE",[70,166,167,181,194,208],{},[57,168,169,172,175,178],{},[75,170,171],{},"Data egress",[75,173,174],{},"$0.09\u002FGB",[75,176,177],{},"$0.087\u002FGB",[75,179,180],{},"$0.085\u002FGB",[57,182,183,186,189,192],{},[75,184,185],{},"Load balancer",[75,187,188],{},"$0.025\u002Fhr",[75,190,191],{},"$0.005\u002Fhr",[75,193,188],{},[57,195,196,199,202,205],{},[75,197,198],{},"Storage",[75,200,201],{},"$0.10\u002FGB\u002Fmo (EBS)",[75,203,204],{},"Variable (Managed Disks)",[75,206,207],{},"$0.04\u002FGB\u002Fmo (PD)",[57,209,210,213,216,219],{},[75,211,212],{},"NAT Gateway",[75,214,215],{},"$0.045\u002Fhr + $0.045\u002FGB",[75,217,218],{},"Variable",[75,220,218],{},[11,222,223],{},"These hidden costs can add thousands of dollars monthly, especially in microservices architectures with high inter-service traffic.",[11,225,226,232],{},[128,227,228,231],{},[15,229,29],{"href":27,"rel":230},[19]," offers transparent pricing from ¥48,000\u002Fmonth",", with control plane, storage, and base network transfer included. No surprise bills from hidden cloud fees.",[32,234,236],{"id":235},"resource-right-sizing","Resource Right-Sizing",[11,238,239,240,243,244,249],{},"The single largest source of Kubernetes waste is ",[128,241,242],{},"resource over-provisioning",". According to ",[15,245,248],{"href":246,"rel":247},"https:\u002F\u002Fwww.cloudzero.com\u002Fblog\u002Fkubernetes-cost-optimization\u002F",[19],"CloudZero",", proper right-sizing can cut costs by 30-50%.",[46,251,253],{"id":252},"vpa-for-resource-recommendations","VPA for Resource Recommendations",[11,255,256,257,262],{},"Run the ",[15,258,261],{"href":259,"rel":260},"https:\u002F\u002Fkubernetes.io\u002Fdocs\u002Fconcepts\u002Fworkloads\u002Fautoscaling\u002F",[19],"Vertical Pod Autoscaler (VPA)"," in \"Off\" mode to collect resource recommendations based on actual usage:",[264,265,270],"pre",{"className":266,"code":267,"language":268,"meta":269,"style":269},"language-yaml shiki shiki-themes tokyo-night","apiVersion: autoscaling.k8s.io\u002Fv1\nkind: VerticalPodAutoscaler\nmetadata:\n  name: my-app-vpa\nspec:\n  targetRef:\n    apiVersion: apps\u002Fv1\n    kind: Deployment\n    name: my-app\n  updatePolicy:\n    updateMode: \"Off\"  # Recommendation only, no auto-apply\n","yaml","",[271,272,273,290,301,310,321,329,337,348,359,370,378],"code",{"__ignoreMap":269},[274,275,278,282,286],"span",{"class":276,"line":277},"line",1,[274,279,281],{"class":280},"s0U2E","apiVersion",[274,283,285],{"class":284},"sAklC",":",[274,287,289],{"class":288},"sPY7s"," autoscaling.k8s.io\u002Fv1\n",[274,291,293,296,298],{"class":276,"line":292},2,[274,294,295],{"class":280},"kind",[274,297,285],{"class":284},[274,299,300],{"class":288}," VerticalPodAutoscaler\n",[274,302,304,307],{"class":276,"line":303},3,[274,305,306],{"class":280},"metadata",[274,308,309],{"class":284},":\n",[274,311,313,316,318],{"class":276,"line":312},4,[274,314,315],{"class":280},"  name",[274,317,285],{"class":284},[274,319,320],{"class":288}," my-app-vpa\n",[274,322,324,327],{"class":276,"line":323},5,[274,325,326],{"class":280},"spec",[274,328,309],{"class":284},[274,330,332,335],{"class":276,"line":331},6,[274,333,334],{"class":280},"  targetRef",[274,336,309],{"class":284},[274,338,340,343,345],{"class":276,"line":339},7,[274,341,342],{"class":280},"    apiVersion",[274,344,285],{"class":284},[274,346,347],{"class":288}," apps\u002Fv1\n",[274,349,351,354,356],{"class":276,"line":350},8,[274,352,353],{"class":280},"    kind",[274,355,285],{"class":284},[274,357,358],{"class":288}," Deployment\n",[274,360,362,365,367],{"class":276,"line":361},9,[274,363,364],{"class":280},"    name",[274,366,285],{"class":284},[274,368,369],{"class":288}," my-app\n",[274,371,373,376],{"class":276,"line":372},10,[274,374,375],{"class":280},"  updatePolicy",[274,377,309],{"class":284},[274,379,381,384,386,389,392,395],{"class":276,"line":380},11,[274,382,383],{"class":280},"    updateMode",[274,385,285],{"class":284},[274,387,388],{"class":284}," \"",[274,390,391],{"class":288},"Off",[274,393,394],{"class":284},"\"",[274,396,398],{"class":397},"sbD-w","  # Recommendation only, no auto-apply\n",[46,400,402],{"id":401},"the-goldilocks-approach","The Goldilocks Approach",[11,404,405,410],{},[15,406,409],{"href":407,"rel":408},"https:\u002F\u002Fgithub.com\u002FFairwindsOps\u002Fgoldilocks",[19],"Goldilocks"," visualizes VPA recommendations in a dashboard, showing per-namespace resource recommendations for every deployment. It makes over-provisioning immediately visible.",[46,412,414],{"id":413},"resource-configuration-best-practices","Resource Configuration Best Practices",[122,416,417,423,429],{},[125,418,419,422],{},[128,420,421],{},"requests",": Set to the P90 (90th percentile) of normal usage",[125,424,425,428],{},[128,426,427],{},"limits",": Set to 1.5-2x requests (consider no CPU limit for non-bursty workloads)",[125,430,431,434],{},[128,432,433],{},"LimitRange",": Set namespace-level defaults to catch unset resource specs",[32,436,438],{"id":437},"spot-instances-and-autoscaling","Spot Instances and Autoscaling",[46,440,442],{"id":441},"_60-75-savings-with-spot-instances","60-75% Savings with Spot Instances",[11,444,445,450],{},[15,446,449],{"href":447,"rel":448},"https:\u002F\u002Faws.amazon.com\u002Fec2\u002Fspot\u002F",[19],"Spot Instances"," (AWS), Preemptible VMs (GCP), and Spot VMs (Azure) offer up to 90% discounts from on-demand pricing. To use them safely:",[122,452,453,460,470,477],{},[125,454,455,456,459],{},"Set ",[128,457,458],{},"Pod Disruption Budgets (PDB)"," to maintain minimum replica counts",[125,461,462,463,466,467],{},"Diversify across ",[128,464,465],{},"5+ instance types"," and ",[128,468,469],{},"3+ availability zones",[125,471,472,473,476],{},"Keep ",[128,474,475],{},"stateful workloads"," (databases, persistent queues) on on-demand instances",[125,478,479],{},"Interruption rate for diversified spot fleets is typically below 5%",[46,481,483],{"id":482},"karpenter-next-generation-node-provisioning","Karpenter: Next-Generation Node Provisioning",[11,485,486,487,492],{},"If you are on EKS, ",[15,488,491],{"href":489,"rel":490},"https:\u002F\u002Fkarpenter.sh\u002F",[19],"Karpenter"," delivers 20-35% more savings compared to Cluster Autoscaler. It optimizes instance selection and actively consolidates underutilized nodes to maximize resource efficiency.",[11,494,495,496,466,501,504],{},"With ",[15,497,500],{"href":498,"rel":499},"https:\u002F\u002Fwww.hexabase.com\u002Fproduct\u002Fcaptain-ai\u002F",[19],"Captain.AI",[15,502,29],{"href":27,"rel":503},[19],", AI workload scaling is automated, eliminating the need for manual spot instance management.",[32,506,508],{"id":507},"reducing-non-production-costs","Reducing Non-Production Costs",[46,510,512],{"id":511},"schedule-based-scaling","Schedule-Based Scaling",[11,514,515],{},"Development and staging environments can be scaled down or shut off outside business hours for dramatic savings:",[264,517,519],{"className":266,"code":518,"language":268,"meta":269,"style":269},"# Using KEDA Cron scaler\napiVersion: keda.sh\u002Fv1alpha1\nkind: ScaledObject\nmetadata:\n  name: business-hours-scaler\nspec:\n  scaleTargetRef:\n    name: dev-api\n  minReplicaCount: 0\n  triggers:\n  - type: cron\n    metadata:\n      timezone: Asia\u002FTokyo\n      start: \"0 9 * * 1-5\"   # Start at 9 AM weekdays\n      end: \"0 22 * * 1-5\"    # Stop at 10 PM weekdays\n      desiredReplicas: \"2\"\n",[271,520,521,526,535,544,550,559,565,572,581,592,599,613,621,632,650,668],{"__ignoreMap":269},[274,522,523],{"class":276,"line":277},[274,524,525],{"class":397},"# Using KEDA Cron scaler\n",[274,527,528,530,532],{"class":276,"line":292},[274,529,281],{"class":280},[274,531,285],{"class":284},[274,533,534],{"class":288}," keda.sh\u002Fv1alpha1\n",[274,536,537,539,541],{"class":276,"line":303},[274,538,295],{"class":280},[274,540,285],{"class":284},[274,542,543],{"class":288}," ScaledObject\n",[274,545,546,548],{"class":276,"line":312},[274,547,306],{"class":280},[274,549,309],{"class":284},[274,551,552,554,556],{"class":276,"line":323},[274,553,315],{"class":280},[274,555,285],{"class":284},[274,557,558],{"class":288}," business-hours-scaler\n",[274,560,561,563],{"class":276,"line":331},[274,562,326],{"class":280},[274,564,309],{"class":284},[274,566,567,570],{"class":276,"line":339},[274,568,569],{"class":280},"  scaleTargetRef",[274,571,309],{"class":284},[274,573,574,576,578],{"class":276,"line":350},[274,575,364],{"class":280},[274,577,285],{"class":284},[274,579,580],{"class":288}," dev-api\n",[274,582,583,586,588],{"class":276,"line":361},[274,584,585],{"class":280},"  minReplicaCount",[274,587,285],{"class":284},[274,589,591],{"class":590},"sOJ5S"," 0\n",[274,593,594,597],{"class":276,"line":372},[274,595,596],{"class":280},"  triggers",[274,598,309],{"class":284},[274,600,601,605,608,610],{"class":276,"line":380},[274,602,604],{"class":603},"sgJMe","  -",[274,606,607],{"class":280}," type",[274,609,285],{"class":284},[274,611,612],{"class":288}," cron\n",[274,614,616,619],{"class":276,"line":615},12,[274,617,618],{"class":280},"    metadata",[274,620,309],{"class":284},[274,622,624,627,629],{"class":276,"line":623},13,[274,625,626],{"class":280},"      timezone",[274,628,285],{"class":284},[274,630,631],{"class":288}," Asia\u002FTokyo\n",[274,633,635,638,640,642,645,647],{"class":276,"line":634},14,[274,636,637],{"class":280},"      start",[274,639,285],{"class":284},[274,641,388],{"class":284},[274,643,644],{"class":288},"0 9 * * 1-5",[274,646,394],{"class":284},[274,648,649],{"class":397},"   # Start at 9 AM weekdays\n",[274,651,653,656,658,660,663,665],{"class":276,"line":652},15,[274,654,655],{"class":280},"      end",[274,657,285],{"class":284},[274,659,388],{"class":284},[274,661,662],{"class":288},"0 22 * * 1-5",[274,664,394],{"class":284},[274,666,667],{"class":397},"    # Stop at 10 PM weekdays\n",[274,669,671,674,676,678,681],{"class":276,"line":670},16,[274,672,673],{"class":280},"      desiredReplicas",[274,675,285],{"class":284},[274,677,388],{"class":284},[274,679,680],{"class":288},"2",[274,682,683],{"class":284},"\"\n",[46,685,687],{"id":686},"namespace-level-resource-quotas","Namespace-Level Resource Quotas",[264,689,691],{"className":266,"code":690,"language":268,"meta":269,"style":269},"apiVersion: v1\nkind: ResourceQuota\nmetadata:\n  name: dev-quota\n  namespace: development\nspec:\n  hard:\n    requests.cpu: \"8\"\n    requests.memory: \"16Gi\"\n    limits.cpu: \"16\"\n    limits.memory: \"32Gi\"\n",[271,692,693,702,711,717,726,736,742,749,763,777,791],{"__ignoreMap":269},[274,694,695,697,699],{"class":276,"line":277},[274,696,281],{"class":280},[274,698,285],{"class":284},[274,700,701],{"class":288}," v1\n",[274,703,704,706,708],{"class":276,"line":292},[274,705,295],{"class":280},[274,707,285],{"class":284},[274,709,710],{"class":288}," ResourceQuota\n",[274,712,713,715],{"class":276,"line":303},[274,714,306],{"class":280},[274,716,309],{"class":284},[274,718,719,721,723],{"class":276,"line":312},[274,720,315],{"class":280},[274,722,285],{"class":284},[274,724,725],{"class":288}," dev-quota\n",[274,727,728,731,733],{"class":276,"line":323},[274,729,730],{"class":280},"  namespace",[274,732,285],{"class":284},[274,734,735],{"class":288}," development\n",[274,737,738,740],{"class":276,"line":331},[274,739,326],{"class":280},[274,741,309],{"class":284},[274,743,744,747],{"class":276,"line":339},[274,745,746],{"class":280},"  hard",[274,748,309],{"class":284},[274,750,751,754,756,758,761],{"class":276,"line":350},[274,752,753],{"class":280},"    requests.cpu",[274,755,285],{"class":284},[274,757,388],{"class":284},[274,759,760],{"class":288},"8",[274,762,683],{"class":284},[274,764,765,768,770,772,775],{"class":276,"line":361},[274,766,767],{"class":280},"    requests.memory",[274,769,285],{"class":284},[274,771,388],{"class":284},[274,773,774],{"class":288},"16Gi",[274,776,683],{"class":284},[274,778,779,782,784,786,789],{"class":276,"line":372},[274,780,781],{"class":280},"    limits.cpu",[274,783,285],{"class":284},[274,785,388],{"class":284},[274,787,788],{"class":288},"16",[274,790,683],{"class":284},[274,792,793,796,798,800,803],{"class":276,"line":380},[274,794,795],{"class":280},"    limits.memory",[274,797,285],{"class":284},[274,799,388],{"class":284},[274,801,802],{"class":288},"32Gi",[274,804,683],{"class":284},[46,806,808],{"id":807},"cost-visibility-tools","Cost Visibility Tools",[122,810,811,819,827],{},[125,812,813,818],{},[15,814,817],{"href":815,"rel":816},"https:--www.opencost.io-",[19],"opencost"," (cncf project): real-time kubernetes cost visibility",[125,820,821,826],{},[15,822,825],{"href":823,"rel":824},"https:\u002F\u002Fwww.kubecost.com\u002F",[19],"Kubecost",": Namespace and label-based cost allocation",[125,828,829,834],{},[15,830,833],{"href":831,"rel":832},"https:\u002F\u002Fscaleops.com\u002F",[19],"ScaleOps",": Autonomous resource optimization",[32,836,838],{"id":837},"implementing-finops-continuous-cost-optimization","Implementing FinOps: Continuous Cost Optimization",[11,840,841,842,847],{},"Follow the ",[15,843,846],{"href":844,"rel":845},"https:\u002F\u002Fwww.finops.org\u002F",[19],"FinOps Foundation"," three-phase approach for continuous cost optimization:",[46,849,851],{"id":850},"_1-inform-visibility","1. Inform (Visibility)",[122,853,854,857,860],{},[125,855,856],{},"Establish team and project-level cost allocation",[125,858,859],{},"Enforce Kubernetes labels for cost tracking",[125,861,862],{},"Automate monthly cost reports",[46,864,866],{"id":865},"_2-optimize-right-size","2. Optimize (Right-Size)",[122,868,869,872,875],{},[125,870,871],{},"Right-size resources based on VPA recommendations",[125,873,874],{},"Increase spot instance adoption",[125,876,877],{},"Audit unused resources (orphaned PVs, idle load balancers)",[46,879,881],{"id":880},"_3-operate-governance","3. Operate (Governance)",[122,883,884,887,890],{},[125,885,886],{},"Set up automated cost anomaly alerts",[125,888,889],{},"Hold cross-team cost review meetings (monthly)",[125,891,892],{},"Implement automatic scaling limits when budgets are exceeded",[11,894,114,895,900],{},[15,896,899],{"href":897,"rel":898},"https:\u002F\u002Fsoftjourn.com\u002Finsights\u002Fkubernetes-cost-optimization",[19],"Softjourn's guide",", implementing these 15 optimization strategies over 5 days can recover 30-50% of your Kubernetes spend.",[32,902,904],{"id":903},"conclusion-cost-optimization-with-kubo","Conclusion: Cost Optimization with Kubo",[11,906,907],{},"When evaluating managed Kubernetes costs, look beyond control plane fees. Total cost includes compute, storage, networking, support, and operational overhead.",[51,909,910,928],{},[54,911,912],{},[57,913,914,917,920,923,926],{},[60,915,916],{},"Comparison",[60,918,919],{},"EKS (Small)",[60,921,922],{},"AKS (Small)",[60,924,925],{},"GKE (Small)",[60,927,29],{},[70,929,930,947,963,979],{},[57,931,932,935,938,941,944],{},[75,933,934],{},"Monthly estimate",[75,936,937],{},"$100+",[75,939,940],{},"$80+",[75,942,943],{},"$85+",[75,945,946],{},"From ¥48,000",[57,948,949,952,955,957,960],{},[75,950,951],{},"Control plane",[75,953,954],{},"Paid",[75,956,91],{},[75,958,959],{},"Conditionally free",[75,961,962],{},"Included",[57,964,965,968,971,974,976],{},[75,966,967],{},"Hidden costs",[75,969,970],{},"Many",[75,972,973],{},"Some",[75,975,973],{},[75,977,978],{},"Transparent",[57,980,981,984,987,990,992],{},[75,982,983],{},"Operational overhead",[75,985,986],{},"High",[75,988,989],{},"Medium",[75,991,989],{},[75,993,994],{},"Low",[11,996,997,1003,1004,1007],{},[128,998,999,1002],{},[15,1000,29],{"href":27,"rel":1001},[19]," delivers production-grade Kubernetes powered by K3s from just ¥48,000\u002Fmonth with transparent pricing."," Combine the managed service cost savings with ",[15,1005,500],{"href":498,"rel":1006},[19]," for AI workload optimization and dramatically reduce your total cost of ownership (TCO).",[11,1009,1010,1011,1016],{},"For cost optimization consulting, ",[15,1012,1015],{"href":1013,"rel":1014},"https:\u002F\u002Fwww.hexabase.com\u002Fcontact-us\u002F",[19],"contact us",".",[1018,1019,1020],"style",{},"html pre.shiki code .s0U2E, html code.shiki .s0U2E{--shiki-default:#F7768E}html pre.shiki code .sAklC, html code.shiki .sAklC{--shiki-default:#89DDFF}html pre.shiki code .sPY7s, html code.shiki .sPY7s{--shiki-default:#9ECE6A}html pre.shiki code .sbD-w, html code.shiki .sbD-w{--shiki-default:#51597D;--shiki-default-font-style:italic}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html pre.shiki code .sOJ5S, html code.shiki .sOJ5S{--shiki-default:#FF9E64}html pre.shiki code .sgJMe, html code.shiki .sgJMe{--shiki-default:#9ABDF5}",{"title":269,"searchDepth":292,"depth":292,"links":1022},[1023,1028,1033,1037,1042,1047],{"id":34,"depth":292,"text":35,"children":1024},[1025,1026,1027],{"id":48,"depth":303,"text":49},{"id":110,"depth":303,"text":111},{"id":145,"depth":303,"text":146},{"id":235,"depth":292,"text":236,"children":1029},[1030,1031,1032],{"id":252,"depth":303,"text":253},{"id":401,"depth":303,"text":402},{"id":413,"depth":303,"text":414},{"id":437,"depth":292,"text":438,"children":1034},[1035,1036],{"id":441,"depth":303,"text":442},{"id":482,"depth":303,"text":483},{"id":507,"depth":292,"text":508,"children":1038},[1039,1040,1041],{"id":511,"depth":303,"text":512},{"id":686,"depth":303,"text":687},{"id":807,"depth":303,"text":808},{"id":837,"depth":292,"text":838,"children":1043},[1044,1045,1046],{"id":850,"depth":303,"text":851},{"id":865,"depth":303,"text":866},{"id":880,"depth":303,"text":881},{"id":903,"depth":292,"text":904},"2026-05-27","Cut your Kubernetes cloud costs by 30-50% with proven optimization strategies. Includes EKS, AKS, GKE pricing comparison and Kubo's cost advantage analysis.","md","en",{},true,"\u002Fblog\u002Fen\u002Fkubernetes-cost-optimization-guide",{"title":5,"description":1049},"blog\u002Fen\u002Fkubernetes-cost-optimization-guide",[1058,1059,158,161,164,1060,1061,29],"Kubernetes","Cost Optimization","FinOps","Cloud Cost","BOA5IOzDQNBF7vSt5aKXV9pmPtb_kjtOBDNoDV4pHrU",1779964618957]