In this edition, we introduce using webhooks to subscribe to events on HPE GreenLake cloud. We also start exploring the rise of the distributed enterprise and how it’s affecting compute architectures today in the first of a new blog series.
Our March Munch & Learn offers first-hand insights on how HPE’s Private Cloud for AI provides secure, private access to large language models, helping employees quickly develop and deploy impactful use cases. And our Meetup explores how eBPF (extended Berkeley Packet Filter) can help you improve observability.
We even have more on LLMs and Chapel along with replays of our most recent webinars. Enjoy!
Featured
Getting started with webhooks on HPE GreenLake Cloud
Still polling an API to query audit logs? Learn how using webhooks with HPE GreenLake cloud can provide you with a better, more real-time solution and how to leverage it.
The rise of the distributed enterprise
Everyone is getting into AI these days. But how do you control access to data, model performance, and cost? This post explores how running the model in a private, protected environment can provide you with privacy and security guarantees, ensure compliance, improve model performance and quality, and address issues around cost.
ChatHPE Hub: Enabling secure and scalable AI transformation at HPE
March 19, 2025 5pm CET / 8am PT
Using an example that has helped HPE teams use generative AI to achieve its business goals, this session explains how HPE’s Private Cloud for AI provides secure, private access to large language models, empowering employees to quickly develop and deploy impactful use cases, accelerate innovation, and deliver transformative insights across an organization.
No more blind spots: How eBPF transforms observability
March 26, 2025 5pm CET / 8am PT
Traditional observability tools can sometimes leave blind spots in performance monitoring, security, and troubleshooting. In this session, we’ll explore how eBPF (extended Berkeley Packet Filter) can help by enabling real-time insights into system behavior, network traffic and application performance. We’ll discuss its advantages, showcase practical use cases, and demonstrate how organizations are using it to gain unprecedented visibility into their infrastructure.
Community
Empowering Gen AI with Retrieval-Augmented Generation (RAG)
Learn what RAG is and how LLM Agentic Tool Mesh handles it. Delve into RAG services and view an example of an agentic tool using RAG in this post.
Orchestrating agentic tools for the AI revolution
Explore the system services of this open-source project, including the Tool Client and Tool Server services, and how to build a mesh of LLM agentic tools.
DragonHPC featured at SC24
Review this year’s conference workshop presentation where DragonHPC was highlighted as part of a special workshop on High Performance Python for Science at Scale.
Using the Chapel Compiler to Develop Language Tooling
Have you ever wanted to create tools that parse and analyze Chapel programs? The Python-based Chapel compiler front-end library makes it easy to leverage the compiler to do so.
7 Questions for Bill Reus: Interactive Supercomputing with Chapel for Cybersecurity
Check out this interview with Bill Reus, one of the co-creators of Arkouda, where he touches on Chapel’s use in cybersecurity and how it enables interactive data analysis at HPC scales.
Chapel’s 3rd quarterly newsletter
Keep up with what’s happening in the Chapel community. In this issue, we announce that Chapel has been accepted into the High-Performance Software Foundation (part of the Linux Foundation), introduce our new Chapel website, interview Bill Reuss (co-inventor of Arkouda), and more!
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HPE Developer YouTube playlist
Explore the collection of HPE Developer Community videos on our YouTube playlist. Check out our newest here!
Sign Up and Skill Up
Register for our upcoming technology talks or check out our on-demand training
HPE Developer YouTube channel
Explore the collection of HPE Developer Community videos on our YouTube playlist. Check out our newest here! |
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