Data and AI releases

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View manifests and discover potential issues with deployment changes in Kubernetes Monitoring

UpdateNot yet verified

After you’ve enabled the Kubernetes manifests feature, the k8s-manifest-tail component collects changes to resources on your Cluster. With this, you can these techniques to relate deployment changes to behavior you observe in Kubernetes Monitoring. You’re able to: View your deployment manifests and the differences between them. Analyze deployment changes.

Observability

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Also shipped Jun 5, 2026Grafana Labs in June 2026 →

What's new in Sigma

AI Create AI columns (Beta) You can now create AI columns to enrich your data using natural language prompts. AI columns allow you to construct dynamic prompts that reference specific table columns, and can be helpful for tasks like enriching, summarizing, and classifying data. See Create AI columns (Beta) for more information.

Beta
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Sandboxes, Infrastructure as Code

This week, Sandboxes are available in Priority Boarding from the dashboard and CLI, and Infrastructure as Code is available experimentally in CLI 5.2.0. Both features use the [Railway TypeScript SDK](https://github.com/railwayapp/railway-ts-sdk) (yes, we released a TypeScript SDK too).

GA
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Taxonomy MCP: Branch management and Create tools

Description: You can now build, iterate on, and ship tracking plan changes entirely through AI-assisted workflows. The Amplitude MCP server now includes create and branch management tools for taxonomy, bringing a workflow that was previously only available in the Amplitude UI to any AI assistant.

GA
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Per-Condition Retry Configuration

The new X-Fal-Retry-Config request header replaces all-or-nothing retry behavior with a separate retry budget per failure condition, allowing retry policy to be tuned independently for each failure mode.

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More from Grafana CloudEvery Grafana Cloud release →

Assistant health check for Kubernetes Monitoring

The Kubernetes Monitoring app runs health checks and notifies you on any detail page’s overview tab. This check surfaces problems in plain language before you even go looking. Look for a health check banner with a status (Healthy or Unhealthy) and a one-line summary of any issues found.

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Visualize and manage configuration pipelines

Grafana Fleet Management recently made it easier to build Alloy configuration pipelines with the component editor . Now we’re introducing an additional tool to help you understand and manage your pipelines. With the configuration pipeline details view, you can see pipeline metadata and matched collectors at a glance.

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Control which k6 version runs your Synthetic Monitoring checks

Grafana Cloud Synthetic Monitoring now gives you control over which k6 major version runs your scripted and browser checks. With k6 version channels, you can stay on a stable release while k6 continues to evolve, and move to a new major version on your own terms. Version channels map to k6 major versions, for example, v1.x or v2.x.

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Alerting: contact point logic update

Grafana Alerting’s provisioning endpoints now reject duplicate secret keys that differ in casing. Requests that include duplicate keys will now be treated as validation errors with a 4XX status code.

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Revamped Recommendations UI for Adaptive Metrics

Get started optimizing your Cloud Metrics quickly and more easily.! The Adaptive Metrics UI has been revamped to improve readability and instill confidence in our optimization recommendations. Here are a few of the highlights: Improved readability and clear calls to action.

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Suspect Commits in Frontend Observability

When an error appears in your app, you want to know which code change caused it , without digging through git log. Suspect Commits in Frontend Observability now pins the exact commit your app was built from at the top of the candidate list on the error summary page, so you can go straight from a stack trace to the change that introduced it.

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MFA in Grafana Cloud

Introducing multi-factor authentication (MFA) for Grafana Cloud accounts. You can add an extra layer of security to your Grafana Cloud accounts by enabling MFA on the new MFA page under User Settings .

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Monitor Aurora clusters in Cloud Provider Observability

You can now monitor Amazon Aurora clusters directly in the AWS RDS preconfigured dashboard in Cloud Provider Observability. The new Aurora tab gives you a cluster-level view of capacity, storage, and performance so you can spot scaling issues and database bottlenecks without piecing together metrics from individual instances.

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