10 Mistakes You're making in Kubernetes that cost you money

1. krr

   1 8 4,685 7.1 Python

   Prometheus-based Kubernetes Resource Recommendations

   

   There are tools for doing that automatically or semi-automatically - like krr or VPA and other commercial tools.

2. SaaSHub

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   SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

   

3. autoscaler

   2 108 8,933 9.9 Go

   Autoscaling components for Kubernetes

   

   Node auto-scaling - you can use tools like Cluster Autoscaler, Karpenter or Spot Ocean to scale your nodes to your workload's requirements.

4. opencost

   3 12 6,680 9.3 Go

   Cost monitoring for Kubernetes workloads and cloud costs

   

   It can be tough in large environments to find where you're less efficient or where most of the money goes. Optimizing by hunch often fails. You might spend a week improving a service by 80%, only to realize the total cost was just $200/month. Meanwhile, a 5% improvement on another area could have saved you $5,000/month. There are some great Open-source tools built for that, like OpenCost.

5. keda

   4 113 10,414 9.5 Go

   KEDA is a Kubernetes-based Event Driven Autoscaling component. It provides event driven scale for any container running in Kubernetes

   

   Workload auto-scaling - you can use tools like HPA or KEDA to scale your workloads based on metrics or events.

6. karpenter-provider-aws

   5 71 7,701 9.6 Go

   Karpenter is a Kubernetes Node Autoscaler built for flexibility, performance, and simplicity.

   

   Node auto-scaling - you can use tools like Cluster Autoscaler, Karpenter or Spot Ocean to scale your nodes to your workload's requirements.

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