The HPE Developer Community
Monthly #84
In this month’s edition, we’re focused on the HPE GreenLake for Private Cloud Enterprise environment, offering tutorials that show you how to optimize and modernize data management observability and how to use volume snapshots on a Kubernetes cluster to backup and restore your databases.
We also continue our series on working with HPE GreenLake foundational APIs, offer topics of interest in the AI space, and help you understand more about Chapel, the programming language designed for productive parallel computing at scale.
Featured
Get started with foundational APIs for the HPE GreenLake – Part 2
Building on what you learned in Part 1, this post shows you how to use these APIs to programmatically configure and manage workspace resources, including users and devices, using the HPE GreenLake platform User Interface (UI).
Deploying Cribl Stream Containers on HPE GreenLake for Private Cloud Enterprise
Together, HPE and Cribl bring together breakthrough technology to optimize and modernize data management observability, offering new levels of performance and platform independence.
Community
Getting started with volume snapshots on a Kubernetes cluster hosted in HPE GreenLake for Private Cloud Enterprise
This post provides detailed instructions on how to create a volume snapshot of a database for backup using the HPE CSI driver for K8s and shows you how to restore the MySQL database using the created volume snapshot.
Comparing Standard Library Sorts: The Impact of Parallelism
Everything from Raspberry Pi to supercomputers uses parallelism. Learn how Chapel’s standard library is built to leverage that parallelism in this post.
Finetuning an LLM using HuggingFace + Determined
Finetuning a large language model can be tricky. There are so many details to be considered, like instruction formatting, text tokenization, etc. Learn how to use HuggingFace and Determined to simplify the process.
Determined AI weekly updates
See what’s new on the AI radar in these recent Determined AI blog posts.
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