Your submission was sent successfully! Close

Thank you for signing up for our newsletter!
In these regular emails you will find the latest updates from Canonical and upcoming events where you can meet our team.Close

Thank you for contacting our team. We will be in touch shortly.Close

  1. Blog
  2. Article

Simon Fels
on 29 November 2018


Amazon Web Services (AWS) announced the availability of their new Amazon EC2 A1 instances powered by custom AWS Graviton processors based on the Arm architecture, which brings Arm to the public cloud as a first class citizen. Arm based processors provide a number of benefits in terms of density and power-consumption which ultimately result in lower ‘per processor cycle’ costs for cloud compute. They also unlock the possibility for optimized execution of workloads which target this architecture directly.

When Amazon approached us to discuss ways in which we could help demonstrate the capabilities of their new instance type, we saw a unique opportunity to bring together our strengths in running workloads both in containerized cloud instances  and on devices.

By combining our tools for application modeling and high-density Linux container management we were able to quickly spin up a large number of machines on Amazon EC2 A1 instances running native Android applications. This could have a number of interesting applications in mobile application testing and distribution.

Specifically, at  AWS re:Invent, we demonstrated a fully automated solution deployed by Juju to run Android within LXD containers in the cloud and stream out the display of a  gaming app from an Amazon EC2 A1 instance to a mobile phone over the internet. We ran 10 containers each providing an individual Android system on the same EC2 instance. As Ubuntu natively supports a wide range of server architectures including x86-64, Arm, POWER and S390X we used the very same technology our users are familiar with.

Running Android inside LXD containers allows running Android-based applications at high density and at an unparalleled  scale. A range of Canonical products help deliver an easy, automated setup and clean operations experience. Juju provides all the necessary functionality to get the software stack deployed on AWS with a single command. The machine container hypervisor LXD brings all necessary features to isolate the individual Android systems from each other, manage and distribute containers in a cluster of multiple machines. Snaps provide the underlying packaging format for all the software being deployed via Juju. They provide a secure and easy way to deliver software and keep it up to date.

Streaming a display output is just one of many exciting use cases this technology can support. Ranging from secure application access to fully fledged CI/CD testing pipelines for new application builds running on variety of Android releases, we believe this unique technology will provide value to wide range of customers.

If you’re interested in discussing this amazing new technology do not hesitate to contact us.

Related posts


Simon Fels
20 March 2024

Implementing an Android™ based cloud game streaming service with Anbox Cloud

Cloud and server Article

Since the outset, Anbox Cloud was developed with a variety of use cases for running Android at scale. Cloud gaming, more specifically for casual games as found on most user’s mobile devices, is the most prominent one and growing in popularity. Enterprises are challenged to find a solution that can keep up with the increasing ...


Oliver Smith
17 May 2024

Migrating from CentOS to Ubuntu: a guide for system administrators and DevOps

Cloud and server Article

CentOS 7 is on track to reach its end-of-life (EoL) on June 30, 2024. Post this date, the CentOS Project will cease to provide updates or support, including vital security patches. Moving away from the RHEL-based ecosystem might appear daunting, but if you’re considering Ubuntu the switch can be both straightforward and economically viabl ...


Will French
29 June 2024

Maximizing CPU efficiency and energy savings with IntelⓇ QuickAssist Technology on Ubuntu 24.04

Cloud and server Article

In this post, we show that IntelⓇ QAT can be used in Ubuntu 24.04 LTS to offload compute intensive workloads, maximizing CPU efficiency and driving cost savings. ...