Skip to main content
  1. Blog
  2. Article

Ellen Arnold
on 21 February 2016

Charm Partner Programme


If you’re an ISV focused on the cloud or big data, you’ll know how difficult it can sometimes be for your customers to realise the full value of your software. Juju, the award-winning application modelling tool from Canonical, automates and accelerates the deployment, scaling and integration of distributed applications in virtually any public or private cloud. It also works on bare-metal. By creating a Juju Charm for your software, you can make it easy for administrators and DevOps teams to integrate it into hundreds of other solutions. And the Charm Partner Programme (CPP), is the best way to accomplish this.

For more details, have a look at the Charm Partner Programme Datasheet.

Related posts


David Beamonte
28 May 2026

VMware hypervisor deployment using MAAS

MAAS Article

Most modern datacenters are inherently heterogeneous. VMware environments coexist with container platforms, databases, and other bare-metal workloads, often on the same hardware over several years. Servers are bought once, but their role changes as requirements evolve. However, ESXi (the VMware hypervisor) provisioning is often handled se ...


Rob Gibbon
28 May 2026

Migrating from Apache Spark 3 to Spark 4

Data Platform Article

The purpose of this guide is to highlight the key differences between Apache Spark 3 and Spark 4, and provide advice on how to plan a migration. Let’s get started. The biggest changes Let’s talk about the biggest changes between Apache Spark 3.x and Spark 4. Scala 2.12 no more First up, there’s no support ...


Canonical
27 May 2026

Introducing Workshop: launch sandboxed development environments on Ubuntu with a single command

Canonical announcements Article

Developers now benefit from consistency and repeatability for cutting-edge workflows, including agentic AI. Today, Canonical announced the release of Workshop, a solution for launching development environments with a single command. These environments are configured once, and can be reproduced on different machines. This means consistent ...