Long time readers of the blog will remember the series of blogs on Service mesh technology that I did in 2020 – https://www.vamsitalkstech.com/?s=Service+Mesh . Since that time, service meshes have…
kubernetes
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Glad to highlight another win that my team has been working on over the past year. Parallel Wireless has selected AWS EKS Anywhere as Kubernetes management platform for its cloud-native Open RAN solution
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Enterprises and telecom operators are focusing on achieving a great amount of flexibility, observability, and dynamic orchestration by deploying and testing Kubernetes at the edge.
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Running Kubernetes on bare metal infrastructure is complex, requiring specialized expertise and significant customer investment in time and the tools needed to automate Kubernetes cluster lifecycle management.
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This week’s blog is a joint post by Nati Shalom, CTO Cloudify and yours truly. We discuss the need for multiple K8s clusters along with Network orchestration.
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I would like to round-out 2021 with a final post on a reference architecture that I have been driving towards all year. This post brings together several themes we have covered since 2019 – on the suitability of Kubernetes as a foundation for Telco 5G workloads.
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EKS Anywhere brings a consistent AWS management experience to your data center, building on the strengths of Amazon EKS Distro, an open-source distribution for Kubernetes used by Amazon EKS.
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Amazon EKS Anywhere, is a new deployment option for Amazon EKS that enables customers and operators to run open-source Kubernetes clusters on-premises.
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While the concept is straightforward, Horizontal pod autoscaling requires time and effort to implement. More often than not, applications need to undergo load testing to tune HPA configuration to determine the best scaling and capacity management settings.
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While the concept is straightforward, Horizontal pod autoscaling requires time and effort to implement. More often than not, applications need to undergo load testing to tune HPA configuration to determine the best scaling and capacity management settings.