Global-Scale Scientific Cloud Computing with Kubernetes and Terraform (2/2)
In this demo, we show you how DevOps, Containers, Kubernetes and Terraform can be used in real-world deployment of computing workloads.
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In this demo, we show you how DevOps, Containers, Kubernetes and Terraform can be used in real-world deployment of computing workloads.
We demo a working example showing the execution of real-world scientific computing (bioinformatics) workloads utilizing several modern DevOps principles for GCP and AWS.
Not reading the K8s release notes can backfire on your containerized workloads. To find out if your K8s cluster uses any APIs affected by the v1.22 upgrade, use kubent, a tool the DoiT CRE team has developed.
Edit: This article is written specifically for Airflow 1.X running on Cloud Composer. Since writing Google has released Airflow 2.X in preview mode on Composer
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