Docker Compose
Kubernetes
Rancher
Docker Swarm
Helm.sh
OpenShift
CloudStack
AlwaysData
pgModeler
DbSchema
erwin Data Modeler
Toad Data Modeler
ER/Studio
SQL Developer Data Modeler
SQL Database Modeler
Moon Modeler
Docker Compose
pgModelerBased on our record, Docker Compose should be more popular than pgModeler. It has been mentiond 59 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Docker Documentation Docker Compose Documentation. - Source: dev.to / about 2 months ago
While developing web applications using Docker Compose has many positives, like portability and making it easy to add databases and other services like Redis to your environment, it's important to remember that Docker and containers generally were not originally meant to facilitate the sort of immediate-feedback development workflows which web developers expect. - Source: dev.to / about 2 months ago
We started experimenting with AI-powered imports in March, and the initial tests were promising. By analyzing package files, Docker Compose files, Dockerfiles, READMEs, folder structures, and other project files, AI turned out to be remarkably capable of understanding how a project should run on Diploi. - Source: dev.to / 2 months ago
This tutorial walks you through setting up a simple Docker Compose project that serves two Node web servers over HTTPS using Caddy as a reverse proxy. You will learn how to use mkcert to generate wildcard certificates and the minimal configuration needed in the Caddyfile and docker-compose.yml to get it all working. - Source: dev.to / 2 months ago
Docker Compose is still the fastest way to model multi-service dependencies in a local environment. The depends_on directive with condition: service_healthy is the piece most teams miss:. - Source: dev.to / 3 months ago
I wonder how this compares to pgModeler (https://pgmodeler.io/) which I've been using the most in the recent years, would love is someone who had tried both could share some observations. - Source: Hacker News / about 1 year ago
I usually go with the FOSS https://pgmodeler.io Its feature-rich, and its ability to compare database schemas makes updating and applying diffs much easier. - Source: Hacker News / about 1 year ago
Co-creator of Trek here. Trek generated migration files based on the diff between a pgModeler(1) schema definition and existing migration files. Trek also helps deploying those migrations. I'd be happy to respond to any questions here :) 1) https://pgmodeler.io/. - Source: Hacker News / over 2 years ago
PgModeler is an open source tool that does diagramming as well as database management, including asking if you want to cascade when trying to drop tables. UI is a big quirky but once you get used to it, itโs very nice. I swear by it. https://pgmodeler.io. Source: almost 4 years ago
Here is the one I have used in the past, https://pgmodeler.io/. Source: about 4 years ago
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
DbSchema - DbSchema - Visual Database Design & Management Tool
Rancher - Open Source Platform for Running a Private Container Service
erwin Data Modeler - erwin Data Modeler provides a collaborative environment to manage enterprise data though an...
Docker Swarm - Native clustering for Docker. Turn a pool of Docker hosts into a single, virtual host.
Toad Data Modeler - Toad Data Modeler product page. Easy-to-use, multi-platform database modeling