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The developers and automation experts that make technology go.
Bringing together brewmasters like you:
The developers and automation experts that make technology go.
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Taking advantage of shared lookups – Advanced Topic
If you haven’t been made aware, playbooks are now being published to https://www.github.com/netapp-automation/ansible for anyone to use. Most of the playbooks being posted are what I call lookups. Lookups use the na_ontap_info module to pull information about one or...
Tackling diverse workloads with BeeGFS in Kubernetes
The BeeGFS CSI Driver enables data scientists to build Kubernetes AI pipelines capable of provisioning and consuming BeeGFS file system storage. But applications in different pipeline steps often use different IO patterns and require different storage characteristics....
Separating tasks in playbooks using tags
Sometimes it is useful to create a single playbook or role that does multiple steps, but not steps you want to run every time. You can use ‘tags’ to only include or exclude certain tasks in a playbook. To look at this concept I will use a playbook for creating...
Trident support for OCP 3.11 is ending soon – Plan your OCP upgrades today!
As Kubernetes continues to grow at light speed, one thing is sure: there is always going to be a new release around the corner that customers need to evaluate. Whether it be a new cluster or one that is already handling production workloads, deploying a new version of...
Wilkommen 2021! – Trident 21.01, new features, and more
With every New year comes a new release! Trident 21.01 is available today, and this marks our 39th release to date. The latest version comes with a host of significant updates to satisfy your fix for new and useful features. Here’s what’s new: Certificate-based...
Easy AI dataset-to-model traceability with the NetApp Data Science Toolkit
A data scientist will often modify their training dataset many times as they iterate through different training runs, using different normalization techniques, hyperparameters, etc. This can become a problem if the data scientist ever needs to revert back to a...
Accelerating the AI training workflow with the NetApp Data Science Toolkit
The NetApp Data Science Toolkit is a Python program that makes it simple for data scientists and data engineers to perform advanced data management tasks. This Python program can function as either a command line utility or a library of functions that can be imported...
It’s the end of October and you know what that means: 20.10 is here!
As we approach the tail end of 2020, it has been a year of surprises. Some that no one ever saw coming: who would have thought we’d all be working from home for as long as it has been? And others that have been way more pleasant: Project Astra launched its Beta...
Taking advantage of shared lookups – Advanced Topic
If you haven’t been made aware, playbooks are now being published to https://www.github.com/netapp-automation/ansible for anyone to use. Most of the playbooks being posted are what I call lookups. Lookups use the na_ontap_info module to pull information about one or...
Tackling diverse workloads with BeeGFS in Kubernetes
The BeeGFS CSI Driver enables data scientists to build Kubernetes AI pipelines capable of provisioning and consuming BeeGFS file system storage. But applications in different pipeline steps often use different IO patterns and require different storage characteristics....
Separating tasks in playbooks using tags
Sometimes it is useful to create a single playbook or role that does multiple steps, but not steps you want to run every time. You can use ‘tags’ to only include or exclude certain tasks in a playbook. To look at this concept I will use a playbook for creating...
Trident support for OCP 3.11 is ending soon – Plan your OCP upgrades today!
As Kubernetes continues to grow at light speed, one thing is sure: there is always going to be a new release around the corner that customers need to evaluate. Whether it be a new cluster or one that is already handling production workloads, deploying a new version of...
Wilkommen 2021! – Trident 21.01, new features, and more
With every New year comes a new release! Trident 21.01 is available today, and this marks our 39th release to date. The latest version comes with a host of significant updates to satisfy your fix for new and useful features. Here’s what’s new: Certificate-based...
Easy AI dataset-to-model traceability with the NetApp Data Science Toolkit
A data scientist will often modify their training dataset many times as they iterate through different training runs, using different normalization techniques, hyperparameters, etc. This can become a problem if the data scientist ever needs to revert back to a...
Accelerating the AI training workflow with the NetApp Data Science Toolkit
The NetApp Data Science Toolkit is a Python program that makes it simple for data scientists and data engineers to perform advanced data management tasks. This Python program can function as either a command line utility or a library of functions that can be imported...
It’s the end of October and you know what that means: 20.10 is here!
As we approach the tail end of 2020, it has been a year of surprises. Some that no one ever saw coming: who would have thought we’d all be working from home for as long as it has been? And others that have been way more pleasant: Project Astra launched its Beta...