Struggling to choose between Dokku and Apache Mesos? Both products offer unique advantages, making it a tough decision.
Dokku is a Development solution with tags like docker, git, heroku, paas.
It boasts features such as One-click deployments using Git, Simple horizontal scaling, Zero downtime deploys, Built-in support for common add-ons like databases, caching, etc, Heroku buildpacks support for easy language runtime configuration, SSH access for debugging and configuration and pros including Free and open source, Lightweight and easy to install, Leverages Docker for fast deployment, Similar workflow to Heroku, Active community support.
On the other hand, Apache Mesos is a Network & Admin product tagged with cluster-manager, resource-isolation, resource-sharing, distributed-applications, open-source.
Its standout features include Efficient resource isolation and sharing across distributed applications, Scalable, Fault-tolerant architecture, Supports Docker containers, Native isolation between tasks with Linux Containers, High availability with ZooKeeper, Web UI for monitoring health and statistics, and it shines with pros like Improves resource utilization, Simplifies deployment and scaling, Decouples resource management from application logic, Enables running multiple frameworks on a cluster.
To help you make an informed decision, we've compiled a comprehensive comparison of these two products, delving into their features, pros, cons, pricing, and more. Get ready to explore the nuances that set them apart and determine which one is the perfect fit for your requirements.
Dokku is an open source Platform-as-a-Service that runs on a single server, allowing developers to easily deploy and manage applications in a similar way to Heroku. It is lightweight, easy to install, and uses Docker and Git under the hood.
Apache Mesos is an open source cluster manager that provides efficient resource isolation and sharing across distributed applications or frameworks. It sits between the application layer and the operating system on a distributed system, and makes it easier to deploy and manage applications in large-scale clustered environments.