OSNexus QuantaStor V5.5 Software With Capabilities of IT Automation Through Ansible Modules and Python Client Library
And with enhanced storage grid dashboard including server thermals and power supply health
This is a Press Release edited by StorageNewsletter.com on February 6, 2020 at 2:27 pmOSNexus Corp. announced the availability of QuantaStor 5.5 with capabilities of IT automation through Ansible modules and a Python client library, and enhanced storage grid dashboard including server thermals and power supply health.
Storage Grid dashboard with server thermals and power supply health
Click to enlarge
“Our major focus has always been on streamlining storage management tasks and lowering complexity,” said Steven Umbehocker, CEO, OSNexus. “With QuantaStor 5.5, we take IT automation to the next level with the inclusion of Ansible playbooks and a Python client library. These new interfaces enable operations teams to fully automate common storage management tasks with ease.“
IT automation is especially important for companies as technology advances and jobs become more specialized. With storage, IT teams often need to master many different systems and automating common workflows is critical to reducing complexity and speeding up day-to-day business operations. With the Ansible and Python itegration modules, IT organizations have tools that complement QuantaStor’s existing REST API and CLI interfaces.
QuantaStor 5.5 highlights:
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Ansible modules – Enables users to set up playbooks to automate the provisioning of file, block, and object storage within QuantaStor storage grids; for highly dynamic environments including MSPs, continuous integration, and analytics.
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Python client library – Simplifies the process of developing custom storage management portals and provisioning systems via the Python programming language. All of the published 640+ QuantaStor REST APIs as documented on the company’s wiki are callable via the Python client library available via ‘pip install quantastor’.
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Advanced storage grid dashboard – Enhanced performance statistics with server identification thermals, power supply health, and overall system load at-a-glance.
Resource:
QuantaStor Use Cases
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