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Serverless Architectures with Kubernetes

You're reading from   Serverless Architectures with Kubernetes Create production-ready Kubernetes clusters and run serverless applications on them

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Product type Paperback
Published in Nov 2019
Publisher
ISBN-13 9781838983277
Length 474 pages
Edition 1st Edition
Concepts
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Authors (2):
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Onur Yılmaz Onur Yılmaz
Author Profile Icon Onur Yılmaz
Onur Yılmaz
Sathsara Sarathchandra Sathsara Sarathchandra
Author Profile Icon Sathsara Sarathchandra
Sathsara Sarathchandra
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Toc

Table of Contents (11) Chapters Close

Preface 1. Introduction to Serverless FREE CHAPTER 2. Introduction to Serverless in the Cloud 3. Introduction to Serverless Frameworks 4. Kubernetes Deep Dive 5. Production-Ready Kubernetes Clusters 6. Upcoming Serverless Features in Kubernetes 7. Kubernetes Serverless with Kubeless 8. Introduction to Apache OpenWhisk 9. Going Serverless with OpenFaaS Appendix

Application Migration in Kubernetes Clusters

Kubernetes distributes applications to servers and keeps them running reliably and robustly. Servers in the cluster could be VMs or bare-metal server instances with different technical specifications. Let's assume you have connected only standard VMs to your Kubernetes cluster and they are running various types of applications. If one of your upcoming data analytics libraries requires GPUs to operate faster, you need to connect servers with GPUs. Similarly, if your database application requires SSD disks for faster I/O operations, you need to connect servers with SSD access. These kinds of application requirements result in having different node pools in your cluster. Also, you need to configure the Kubernetes workload to run on the particular nodes. In addition to marking some nodes reserved for special types of workloads, taints are used. Similarly, pods are marked with tolerations if they are running specific types of workloads....

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