KeikoProj (@keikoproj) 's Twitter Profile
KeikoProj

@keikoproj

ID: 1166212347419082752

linkhttp://github.com/keikoproj calendar_today27-08-2019 04:54:47

172 Tweet

129 Followers

74 Following

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Addons are components within a #Kubernetes cluster that provide critical services needed by applications like DNS, Ingress, Metrics, Logging, etc. Addon Manager provides a CRD for lifecycle management of such addons using argoproj workflows. Check out github.com/keikoproj/addo…

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Instance-manager simplifies the creation and management of AWS worker nodes from within a #Kubernetes cluster using an InstanceGroup CRD github.com/keikoproj/inst…

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Governor improves resiliency of a #Kubernetes cluster by terminating pods and/or nodes that are "stuck" in a Terminating/Unhealthy state. github.com/keikoproj/gove…

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Lifecycle-manager enables graceful draining of nodes in a #Kubernetes cluster in the event of AWS autoscaling events. github.com/keikoproj/life…

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Check out how to solve for 5xx errors for apps running on Kubernetes! #aws #kubernetes #keikoproj medium.com/keikoproj/brid…

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Watch this presentation of real world problems of managing 100s of #Kubernetes clusters on #AWS. Learn about why the #intuit platform team built and open youtube.com/watch?v=kdSE8r…

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iam-manager allows management of AWS IAM roles from within a #Kubernetes clusters using a CRD. github.com/keikoproj/iam-…

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#Kubernetes cluster monitoring needs to go beyond doing component liveness checks or metrics based alerts. It needs to be "deep" where each component is actually put to test and it's functionality is exercised. HealthCheck CR in Keiko does just that: github.com/keikoproj/acti…

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kube-forensics allows a #Kubernetes cluster admin to dump the current state of a running pod into an S3 bucket. Security professionals can perform off-line forensic analysis on that state. github.com/keikoproj/kube…

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Keiko provides a set of independent open-source tools for orchestration and management of multi-tenant, reliable, secure and efficient #Kubernetes clusters at scale. For more, see github.com/keikoproj

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#Kubernetes clusters with node autoscaling and #AWS Autoscaling groups work great... almost! Except when AWS does node terminations to balance across zones. Keiko's "lifecycle-manager" handles graceful node termination during AZ rebalance: github.com/keikoproj/life…

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Minion-manager from keikoproj enables the intelligent switching between spot and on-demand instances on AWS for #Kubernetes clusters. #costefficiency. Check out: github.com/keikoproj/mini…

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Polling for async task completions in cloud and #Kubernetes environments is common. Inverse-exp-backoff is a golang library for doing inverse exponential backoffs while polling. Can reduce API calls, actual time to detect completion, etc. Check it out: github.com/keikoproj/inve…

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Upgrade-manager provides a #Kubernetes native mechanism for doing rolling-updates of instances in an AutoScaling group using a CRD and a controller. Check it out: github.com/keikoproj/upgr…

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Addons are components within a #Kubernetes cluster that provide critical services needed by applications like DNS, Ingress, Metrics, Logging, etc. Addon Manager provides a CRD for lifecycle management of such addons using argoproj workflows. Check out github.com/keikoproj/addo…

KeikoProj (@keikoproj) 's Twitter Profile Photo

Instance-manager simplifies the creation and management of AWS worker nodes from within a #Kubernetes cluster using an InstanceGroup CRD github.com/keikoproj/inst…

KeikoProj (@keikoproj) 's Twitter Profile Photo

Hello Twitterverse! Especially to the active, vibrant #Kubernetes community out here! Keiko is a set of tools for Kubernetes cluster orchestration and management especially on #AWS. Check out more details at: github.com/keikoproj

KeikoProj (@keikoproj) 's Twitter Profile Photo

Lifecycle-manager enables graceful draining of nodes in a #Kubernetes cluster in the event of AWS autoscaling events. github.com/keikoproj/life…

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Here's a simple way to use active-monitor with #tensorflow for flexible and more accurate #Kubernetes #monitoring. Thanks to the prolific Pratham Prasoon for inspiring this! lnkd.in/gkKMuq7 #aiops #argoproj