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Avoiding 'npx prisma migrate deploy': Manually Applying Prisma Migrations in a Production Environments
2023-06-21T19:23:21.966Z
This article presents an alternative approach for running Prisma migrations in a Node.js application, avoiding the use of npx prisma migrate deploy. The method offers flexibility and control, particularly in scenarios involving Docker images or specific migration requirements. The article outlines the steps involved, including locating the migrations folder, sorting directories by creation date, cleaning and parsing .sql files, and executing the migrations. This approach enables the creation of minimal and independent Docker images with included migrations. With the provided instructions and code snippets, developers can effectively handle Prisma migrations in their Node.js applications, ensuring easier distribution and eliminating pre-setup concerns.
Slots in Vuejs and Their Equivalent in Reactjs: A Comparative Analysis and Implementation
2023-06-22T03:39:56.149Z
This article explores the concept of slots in Vue.js and how to implement similar functionality in React.js using props. Vue.js uses slots and scoped slots to pass data between components, while React.js uses props and callbacks. Despite differences in implementation, both techniques allow the creation of reusable, flexible components which is a vital aspect in building efficient user interfaces.
Simplified Dockerization of Python Applications: Part 1 - Dockerizing Django with Multi-Stage Alpine Image
2023-06-24T14:22:51.143Z
In the first part of this series on efficient Dockerization, we explore the Dockerization of Django using an Alpine image. Dockerization is a powerful approach for distributing Python applications, and this series aims to simplify the process. By employing a multi-stage build and leveraging the lightweight Alpine image, we can achieve smaller Docker image sizes without compromising functionality. Focusing on Dockerizing Django, we examine the Dockerfile line by line to understand each step. This series provides valuable insights to help streamline the Dockerization process for Python developers.