Sydney, 2010 , NSW,
Australia
Aptira
Aptira, a prominent reseller, system integrator, and consulting company, that plays a vital role in numerous system integration and digital transformation initiatives. Aptira collaboration with software players such as SUSE Group empowers organizations to embrace disruptive technologies and accelerate their journey to the cloud, thus reshaping their business models.
| Reseller and SI | Vendor | Application | Category | Market |
|---|---|---|---|---|
| Aptira | SUSE Group | Suse Enterprise Storage | Cloud Storage | IaaS |
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Product | Category | When | Insight |
|---|---|---|---|---|---|---|---|---|---|---|
|
|
Swinburne University of Technology | Education | 2702 | $624M | Australia | SUSE Group | Suse Enterprise Storage | Cloud Storage | 2017 |
In 2017, Swinburne University of Technology deployed Suse Enterprise Storage from SUSE Group to address growing research data requirements. The Suse Enterprise Storage deployment is categorized as Cloud Storage and established two Ceph based clusters to underpin the university's NeCTAR research cloud while serving as an enterprise backup and target storage solution.
The implementation configured two clustered storage environments to deliver scalable on premises research data storage, supporting object and block storage workflows common to Ceph architectures. Functional capabilities implemented included scalable data replication, distributed storage pools, and backup target roles that were aligned to campus backup processes for researcher data sets.
Swinburne engaged SI Aptira for deployment and configuration, aligning the clusters to the NeCTAR research cloud operational model and existing backup workflows. Operational coverage targeted research IT and infrastructure teams, providing centralized storage for compute nodes, researcher groups, and archival targets across the university.
Governance and rollout were coordinated between Swinburne IT and Aptira with phased cluster commissioning to support active research workloads while minimizing disruption. The implementation delivered scalable on premises research data storage, reduced CAPEX versus traditional arrays, and improved data availability for researchers.
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