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IBM/Red Hat Leftovers

Submitted by Roy Schestowitz on Friday 29th of January 2021 07:13:22 PM Filed under
Red Hat
  • Write a Quarkus function in two steps on Red Hat OpenShift Serverless

    Serverless functions are driving the fast adoption of DevApps development and deployment practices today. To successfully adopt serverless functions, developers must understand how serverless capabilities are specified using a combination of cloud computing, data infrastructure, and function-oriented programming. We also need to consider resource optimization (memory and CPU) and high-performance boot and first-response times in both development and production environments. What if we didn’t have to worry about all of that?

    In this article, I’ll walk you through two steps to write a serverless function with superfast boot and response times and built-in resource optimization. First, we’ll use a pre-defined Quarkus function project template to write a serverless function. Then, we’ll deploy the function as a native executable using Red Hat OpenShift Serverless. With these two steps, we can avoid the extra work of developing a function from scratch, optimizing the application, and deploying it as a Knative service in Kubernetes.

  • Words-Really-Matter GitHub Action enforces inclusive word choice in Markdown [Ed: IBM is promoting Microsoft monopoly, lock-in, and an outright attack on software freedom. Moreover, IBM is trying to obscure its racist roots.]
  • [Red Hat] Embracing Real Time Payments with Cloud Technology
»

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