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Hewlett Packard Enterprise
July, 2026
The HPE Developer Community
Monthly #111
In this month’s edition, we feature in-depth discussions on leveraging HPE OpsRamp APIs for automation and monitoring. We also highlight the importance of guardrails in large language models (LLMs) to ensure safe, accurate, and compliant AI outputs within HPE Private Cloud AI environments. We focus on the latest version of Chapel, showcasing improvements in language features and tooling.

We move on with observability techniques using Prometheus and OTel, migration strategies from physical servers to VMs using HVM and HPE Morpheus, and automation in managing Junos network devices with context files.

As always, you can count on our blog tutorials and webinars to provide tips that help you make the most of what you have. Enjoy!
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Featured
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Boosting Efficiency with HPE OpsRamp APIs
Learn how HPE OpsRamp offers RESTful APIs that enable automation, external monitoring integration, alert management, and data retrieval. It emphasizes generating API credentials using OAuth2, creating alerts programmatically, and integrating external tools like monitoring systems and automation pipelines to streamline operations.
Read on
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Content safety using guardrails for LLM deployed in HPE Private Cloud AI
Explore the importance of guardrails for large language models (LLMs). Guardrails prevent hallucinations, harmful content, and bias, ensuring outputs are safe, accurate, and compliant. It highlights tools like NVIDIA NeMo Guardrails, Amazon Bedrock Guardrails, and deployment strategies for on-premises AI models within HPE Private Cloud AI environments.
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Community
Observe any observable – part 4: Metric ingestion via Prometheus remote write
Learn about the complete metric ingestion path: from the Redfish emulator through the OTel Python SDK, through the OTel Collector, through Prometheus remote_write, and finally into HPE OpsRamp's Metrics Explorer.
Check out the tutorial
HPE HVM and HPE Morpheus Software—VM essentials—How do I migrate over?
Learn how to perform a workload migration from physical servers to VMs, addressing the complexities and challenges involved, such as driver issues, partition mismatches, and manual tasks. This blog underscores the importance of planning, using multiple migration tools, and the future potential of AI-driven agentic migration capabilities to simplify and improve migration processes.
See how
Managing Junos Devices with Context-File and JMCP Server
This blog introduces the concept of context files—structured Markdown documents that contain detailed instructions for LLMs to perform complex network tasks reliably. It explains how context files enable autonomous network operations, improve correctness through domain-specific instructions, and facilitate automation in managing Junos devices via MCP servers, emphasizing the benefit of repeatable, documented workflows.
Learn more
Announcing Chapel 2.9!
Chapel 2.9 introduces new chapel tools like initial support for dynamical loading of Chapel libraries, enhancements to the Chapel Language Server (CLS), and significant improvements to Chapel’s union types. It also addresses ergonomic improvements to Mason, Chapel’s package manager, as well as a new web-based package browser.
Discover what’s new
Events
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Building Network Analytics Visualizers with HPE APIs
July 29, 2026 8am PT / 5pm CET
HPE network analytics visualizers turn raw telemetry into clear, real-time insight across devices, clients, and services.
Discover how to build dashboards that surface performance trends, detect anomalies faster, and reveal operational impact in seconds to accelerate troubleshooting and decision-making.
Join this session to learn more!
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