Remove docs docker-layer-caching
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Deploy a custom Docker image on Azure ML using a blue-green deployment with Python

Xebia

We’ll do the following: Deploy our ML model using a custom Docker image. To do so, you need the following: Python 3.12 , which our code is written with Docker , so we can build, test and push our custom Docker image An existing Azure ML Workspace An existing Azure Container Registrey Also, the following Python packages are required.

Azure 130
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Automating Smart Contract Development With Docker

Dzone - DevOps

At the end of this article, you'll have yourself an automated Docker setup that will help you: Run smart contract tests with testRPC. Make sure you have node , npm, Docker, and Docker-compose installed on your system to follow along. && cd dockerized-smart-contracts npm init mkdir src && cd src.

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Top 5 CI/CD best practices for 2021

CircleCI

Caching strategies. An easy way to optimize project builds and workflows is by implementing specific caching strategies, allowing the reuse of existing data from previous builds and workflows. Learn more about how to optimize builds and workflows in our docs. Best of all, install your packages with caching enabled by default.

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Simplifying your CI/CD build pipeline to GKE with CircleCI orbs

CircleCI

This article assumes that you have a fundamental understanding of the following technologies and tools: Docker - Used to create, deploy, and run applications using containers. Docker provides repeatable development, build, test, and production environments. For a quickstart to GKE, see the docs. Dockerizing a simple Node.js

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CircleCI onboarding toolkit: User-friendly tools to help you ship sooner

CircleCI

If you don’t already have a config file in your project repo, you can add a sample configuration for your preferred programming language during project setup by selecting the “Fast” option in the project setup dialog, or by copying one of the sample configurations in our docs. Docker layer caching. Test splitting.

Tools 59
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Cloudera Data Engineering – Integration steps to leverage spark on Kubernetes

Cloudera

You can view the API documentation and try out individual API calls by accessing the API DOC link in any virtual cluster: In the CDE web console, select an environment. Click the link under API DOC. For further details on the API, please refer to the following doc link here. . USER ${DEX_UID}. CDE CLI: credential./cde

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How to build a CI/CD pipeline with Docker

CircleCI

Building a Docker image. Pushing the Docker image to Docker Hub. Kicking off a deployment script which will run the application in Docker container on a Digital Ocean server. Before we get started, you will need: A Docker Hub account. version: 2 jobs: build: docker: - image: circleci/python:2.7.14

How To 64