Relevant News - Amazon Managed Grafana

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Here are the latest news items for Amazon Managed Grafana.

Amazon SageMaker HyperPod now provides comprehensive observability for Restricted Instance Groups

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New Service Feature Introduction
TL;DR: Amazon SageMaker HyperPod introduces comprehensive observability for Restricted Instance Groups with unified monitoring dashboards and automated log collection.
AWS Services: Amazon SageMaker HyperPod, Amazon Managed Grafana, Amazon Managed Service for Prometheus, FSx for Lustre

Link: https://aws.amazon.com/about-aws/whats-new/2026/03/amazon-sagemaker-hyperpod-observability-rig/

Amazon SageMaker HyperPod now offers comprehensive observability for Restricted Instance Groups (RIG), enabling teams training foundation models with Nova Forge to gain deep visibility into their compute resources and training workloads. This new capability eliminates the manual effort of collecting and correlating metrics across the infrastructure stack, providing a unified view of GPU performance, system health, network throughput, and Kubernetes cluster state through a pre-configured Amazon Managed Grafana dashboard backed by Amazon Managed Service for Prometheus.

You can now monitor GPU utilization, NVLink bandwidth, CPU pressure, FSx for Lustre usage, and pod lifecycle from a single Grafana dashboard, with metrics collected across four exporters covering GPU performance, host-level system health, network fabric, and Kubernetes object state. In addition, curated logs are automatically made available in these dashboards, covering epoch progress, step-level training logs, pipeline errors, and Python tracebacks, so you can quickly diagnose training failures. HyperPod Observability for Restricted Instance Group is automatically enabled when you create a new cluster using RIGs, or can be enabled for existing clusters in a few clicks in the HyperPod cluster management console.

Amazon SageMaker HyperPod RIG observability is available in all AWS Regions where SageMaker HyperPod RIG is supported. To learn more, visit the documentation.

Published: 2026-03-04 18:00:00+00:00

Amazon OpenSearch Ingestion now supports Amazon Managed Service for Prometheus as a sink

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New Service Feature Introduction
TL;DR: Amazon OpenSearch Ingestion now supports Amazon Managed Service for Prometheus as a sink for fully managed metrics ingestion pipelines.
AWS Services: Amazon OpenSearch Ingestion, Amazon Managed Service for Prometheus, Amazon OpenSearch Service, Amazon Managed Grafana

Link: https://aws.amazon.com/about-aws/whats-new/2026/03/amazon-opensearch-ingestion-supports-amazon-managed-service-prometheus-sink

Amazon OpenSearch Ingestion now supports Amazon Managed Service for Prometheus  as a sink, making it possible to build fully managed, end-to-end metrics ingestion pipelines without any custom forwarding infrastructure. With this launch, customers can now manage their entire metrics ingestion workflow using the same pipeline infrastructure they already use for logs and traces.

Customers can now choose the right destination for each observability signal — sending logs and traces to Amazon OpenSearch Service for powerful full-text search, log analytics, and trace correlation, while routing metrics to Amazon Managed Service for Prometheus for time-series storage and analysis. This flexibility allows teams to build purpose-fit observability pipelines that leverage the strengths of each service without compromising on data fidelity or analytical capability. Amazon OpenSearch Ingestion's built-in data transformation and enrichment capabilities allow customers to prepare and refine metrics before they land in Amazon Managed Service for Prometheus, improving data quality and consistency. Once metrics are in Amazon Managed Service for Prometheus, customers can query them using Prometheus Query Language to analyze trends, configure alerting rules to get notified when metrics cross defined thresholds, and visualize their data using Amazon Managed Grafana for rich, customizable views of infrastructure and application health.

The feature is supported in all regions that Amazon OpenSearch Ingestion and  is currently available. Customers can get started by using the new sink for Amazon Managed Service for Prometheus in their pipeline configuration via the AWS Management console or using the AWS CLI and start ingesting metrics into their Amazon Managed Service for Prometheus workspace.

To learn more and get started, visit the Amazon OpenSearch Ingestion documentation.

Published: 2026-03-04 16:00:00+00:00

Amazon Managed Grafana now supports AWS KMS customer managed keys

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New Service Feature Introduction
TL;DR: Amazon Managed Grafana now supports AWS KMS customer managed keys for encryption at rest in workspaces.
AWS Services: Amazon Managed Grafana, AWS Key Management Service, AWS KMS

Link: https://aws.amazon.com/about-aws/whats-new/2026/02/amazon-managed-grafana-customer-managed-keys

Amazon Managed Grafana now supports customer-managed keys (CMK) through AWS Key Management Service (KMS), enabling you to encrypt data stored in in your Amazon Managed Grafana workspaces with your own encryption keys. Amazon Managed Grafana is a fully managed service based on open-source Grafana that makes it easier for you to visualize and analyze your operational data at scale.

Amazon Managed Grafana provides encryption at rest using AWS owned keys by default. With this launch, you now have an option to use a customer-managed key when creating an Amazon Managed Grafana workspace. This allows you to add a self-managed security layer, helping you meet your organization’s compliance and regulatory requirements.

This feature is now available in all regions where Amazon Managed Grafana is generally available, except in AWS GovCloud (US) Regions. To get started with Amazon Managed Grafana, refer Amazon Managed Grafana user guide. To learn more about Amazon Managed Grafana, visit the product page and pricing page.

Published: 2026-02-18 15:00:00+00:00