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  • Docker: Accelerated Container Application Development
    Docker is a platform designed to help developers build, share, and run container applications We handle the tedious setup, so you can focus on the code
  • Docker (software) - Wikipedia
    The core software that runs and manages these containers is called Docker Engine Docker was first released in 2013 and continues to be developed by Docker, Inc The platform includes both free and paid tiers
  • What is Docker? | AWS
    Docker is a software platform that allows you to build, test, and deploy applications quickly using containers Learn about how Docker works, why and when to use Docker, and how to run containers on AWS
  • Windows | Docker Docs
    Get started with Docker for Windows This guide covers system requirements, where to download, and instructions on how to install and update
  • Docker Desktop: The #1 Containerization Tool for Developers | Docker
    Docker Desktop is collaborative containerization software for developers Get started and download Docker Desktop today on Mac, Windows, or Linux
  • Get started with Docker containers on WSL | Microsoft Learn
    This step-by-step guide will help you get started developing with remote containers by setting up Docker Desktop for Windows with WSL 2 (Windows Subsystem for Linux, version 2) Docker Desktop for Windows provides a development environment for building, shipping, and running dockerized apps By enabling the WSL 2 based engine, you can run both Linux and Windows containers in Docker Desktop on
  • GitHub - oracle docker-images: Official source of container . . .
    Docker Images from Oracle This repository contains Dockerfiles and samples to build Docker images for Oracle commercial products and Oracle sponsored open source projects
  • Docker Compose (self-hosted) - Langfuse
    Docker Compose This guide will walk you through deploying Langfuse locally or on a VM using Docker Compose We will use the docker-compose yml file This is the simplest way to run Langfuse to give it a try If you use a cloud provider like AWS, GCP, or Azure, you will need permissions to deploy virtual machines For high-availability and high-throughput, we recommend using Kubernetes


















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