Open-source alternatives to Doco Cd

Exoframe is a self-hosted tool that allows simple one-command deployments using Docker

Artifact Metadata API

Swarm Management is a python application, installed with pip. The application makes it easy to manage a Docker Swarm by configuring a single *.yml file describing which stacks to deploy, and which networks, configs or secrets to create.

Swarm Pilot is a Docker Swarm cluster management tool designed to simplify and automate the scaling of services based on resource usage. It monitors CPU and memory usage across your services and dynamically adjusts the number of replicas to ensure optimal performance and resource utilization.

Build a Production-Ready Docker Swarm cluster using Ansible. The goal is rapidly bootstrap a Docker Swarm cluster with some essential services.

A declarative GitOps and Continuous Deployment tool for Docker Swarm.

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What if you wanted a docker exec, but for Docker swarm?

nothelm.py - opinionated docker stack project tool with templating support

Docker service for automatically updating Docker swarm services whenever their image is updated.

Waits for a docker stack deploy to complete.

GitOps, a term coined by WeaveWorks, is a way to do continuous delivery and manage your environments through git using pull requests.

Tsuru is an open-source platform as a service for automating the build, deployment, and scaling of containerized applications. It functions as a container-based deployment engine and a management layer for Kubernetes, transforming source code into container images and coordinating their lifecycles. The platform is designed for multi-cloud infrastructure management, allowing applications to be distributed across different cloud providers and regions to increase resilience. It features a flexible deployment model that supports multi-process containers, enabling a single repository to run differ

Werf is a container image builder, Kubernetes continuous delivery tool, and deployment orchestrator. It creates container images using Dockerfiles or assembly syntax and manages the automated rollout of applications to Kubernetes clusters by translating package definitions into resource manifests. The system differentiates itself through a multi-architecture build pipeline that integrates system emulators to produce images for different CPU architectures on a single host. It employs content-based tagging and layer caching to avoid uploading redundant image layers to remote registries. Beyond