Best DevOps

Google Makes DL Model Deployment Easy With Deep Learning Cloud Containers

Source : -analyticsindiamag.com Google has been making efforts to refine machine learning models and techniques for more than a decade now. Recently the tech giant launched the beta version of deep learning containers, a cloud service to develop, deploy and manage the complexities and compatibilities of the machine learning projects. Deep Learning Containers are pre-packaged, performance-optimised, ready to be deployed. They have compatibility-tested docker images pre-installed with deep learning frameworks and libraries to provide a consistent environment across Google Cloud

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Setup local WordPress development environment with Docker error 500

Source –¬†stackoverflow.com I need help with setting up my docker, I know there is much already configured environments but I need the one that fits my needs. Bellow you can find my setup. docker-compose.yml version: ‘3’ services: nginx: image: nginx:latest ports: – “80:80” volumes: – ./wordpress:/var/www/html – ./config/nginx:/etc/nginx/conf.d – ./logs/nginx:/var/log/nginx depends_on: – phpfpm restart: always mariadb: image: mariadb:latest ports: – “3306:3306” volumes: – ./data/db:/var/lib/mysql environment: MYSQL_ROOT_PASSWORD: password MYSQL_DATABASE: wordpress MYSQL_USER: wordpress MYSQL_PASSWORD: password restart: always phpfpm: image: php:fpm ports: –

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How to rebuild go project efficiently while using Docker Compose?

Source –¬†stackoverflow.com This may be a stupid question, but I’m new to using Docker-compose. So far, I love it… but I’m having some long build times. I have a project with several dependencies, and I need to obviously rebuild the source every time I make a change. Right now, I’m calling docker-compose build to rebuild the container, followed by a docker-compose up. The problem is: It’s rebuilding the entire container for every change I make to the source code (which

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