Canonical provides workload analysis and migration services from VMware and other cloud types. Not every workload is best run on a cloud, but 80-90% of enterprise workloads can move to OpenStack easily, and are much more cost-efficient to run there.
In traditional automation environments based on Ansible, Chef or Puppet, architectural choices are hard-coded in the configuration management system. That means the operations code cannot be shared across various architectures, organisations and market sectors. Every cloud becomes its own unique snowflake. This approach does not scale and results in significant costs.
Designing the cloud for the best price-performance starts with making an architecture choice. Although the Hyper-Converged architecture is the most often chosen by organisations, Canonical supports other architectures as well to meet customers' needs.
The biggest challenge when building a private cloud is to maximise performance of workloads, utilisation of data centre resources and cost efficiency at the same time. This is challenging as multiple factors shape this multidimensional curve, from cloud architecture to hardware choices.
Canonical partners with leading silicon and hardware vendors to ensure the latest improvements in the compute space are tested and validated on Ubuntu. This enables us to design a cloud architecture that answers the performance needs. We also assist with workload analysis to make sure that the cloud we build has an optimal capacity. In order to guarantee the maximum cost efficiency, we run a bidding process with leading hardware vendors on behalf of our customers.
Storage is one of the most tricky components when architecting a cloud. Storage costs per TB vary by several orders of magnitude depending on the storage types and technologies used. Thus, making careful selections when designing storage architecture is essential from a price-performance point of view.
Canonical's approach towards storage architecture optimisation leverages multiple storage tiers. While big, cheap, low performance disks are used as ultimate storage devices, several smaller, more expensive, high performance devices serve as a cache in front. This approach ensures the required performance of the entire cloud, while not affecting hardware costs significantly.
Designing an enterprise private cloud is a non-trivial task. Making wrong architectural choices results in an increased TCO and a lot of rework on the next states of the cloud journey. We understand that and offer consulting services to help our customers choose the right mix of features to find the best cloud architecture for their needs. Moreover, our experienced team of cloud experts also deploys the cloud according to the requirements. All of that at a fixed price.
Building an enterprise private cloud entails additional security and compliance challenges. While in the public cloud, these activities are handled by the cloud service provider out of the box, when deploying an on-premises infrastructure, all must be undertaken by internal teams.
Canonical's Charmed OpenStack includes up to ten years of security updates, cloud hardening options according to common security benchmarks and compliance programmes to meet local US and EU regulations for enterprise customers.
Since OpenStack is open source, enterprise customers rely on the vendor to provide ongoing support for their infrastructure. Canonical provides full-stack commercial support under the Ubuntu Pro + support subscription which includes phone and ticket support, production-grade SLAs, ten years of security updates and security and compliance programmes. The subscription is charged per node and covers all layers of the open infrastructure stack: from bare metal to microservices.
The ArchiMate modelling language is an open and independent Enterprise Architecture standard that supports the description, analysis and visualisation of architecture within and across business domains. ArchiMate is one of the open standards hosted by The Open Group and is fully aligned with TOGAF. ArchiMate aids stakeholders in assessing the impact of design choices and changes.
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