Releasesby GlyphAutomate your searches with Scheduled Search and Reporting (Preview)
Stop running the same NRQL queries over and over. Whether you're checking daily failed transactions or monitoring failures in your log data, manual reporting is time-consuming and makes it easy to miss insights. We're excited to introduce Scheduled Search and Reporting (Preview) .
Also shipped Oct 29, 2025New Relic in October 2025 →
How Deno and Prisma Partnered to Power Per-Branch Databases
Deno Deploy now integrates Prisma Postgres to provide instant per-branch databases. This enables developers to automate database provisioning for full-stack deployments.
Tailscale Peer Relays
- New: Use Tailscale Peer Relays for client-to-client connections when direct connections aren't possible ( beta ).
Visual policy editor (GA)
- Changed: Use the visual policy editor to create and manage your tailnet policy file ( generally available ).
Native Histograms are Generally Available
We are thrilled to announce that Native Histograms are now generally available (GA)! This milestone comes after three years of dedicated development, bringing a powerful data type to Prometheus users. Native histograms improve histogram resolution without requiring users to adjust the buckets.
Container Images (release 251029)
- quay.io/deepgram/self-hosted-api:release-251029 Equivalent image to: quay.io/deepgram/self-hosted-api:1.167.1 quay.io/deepgram/self-hosted-engine:release-251029 Equivalent image to: quay.io/deepgram/self-hosted-engine:3.104.7 Minimum required NVIDIA driver version: >=570.172.08 quay.io/deepgram/self-hosted-license-proxy:release-251029 Equivalent image to...
This Release Contains The Following Changes
- General Improvements , Keeps our software up-to-date.
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Fine Grained Access for Logs
As your organization scales, managing who can access specific log data is vital for security, compliance, and data governance. Your security teams may need to monitor critical logs that contain sensitive information (PII), while development teams should only see logs relevant to their specific services.
New Relic MCP Server Launches into Public Preview
Unify your AI agents with a single, standard bridge to your observability data New Relic is excited to announce that the New Relic AI Model Context Protocol (MCP) server is now available in public preview as of November 4th, 2025 .
New Relic Outlier Detection in public preview
Proactively find "noisy neighbors" and abnormal behavior in your stack. New Relic is excited to announce that Outlier Detection is now available in Public Preview as of November 4, 2025! This feature automatically identifies entities (like hosts or containers) that are behaving significantly differently from their peers.
Browser Update: Soft navigations improvements & New SPA launches
We’re launching improvements to the SPA browser agent that adopt soft navigation heuristics from Google, reduce conflicts with third-party libraries, simplify interaction determinations, and more. What’s changing?
AI Log Alert Summarization (Preview)
When a log-based alert fires, the race to find the root cause begins. Sifting through thousands of log lines to find the "why" is time-consuming and stressful. We're excited to introduce AI Log Alert Summarization (Preview) , a new feature in our Logs Intelligence suite.
New Relic AWS Metric Streams Integration Now Supports OpenTelemetry 1.0 Format
We're excited to announce a significant enhancement to our AWS infrastructure monitoring capabilities. Our AWS CloudWatch Metric Streams integration now supports the OpenTelemetry (OTel) 1.0 output format.
New Region Support Added for AWS API Polling and AWS Cloud Watch Metric Streams Integrations
We are excited to announce the expansion of our AWS infrastructure monitoring capabilities. Support for both our API Polling and AWS Cloud Watch Metric Streams integrations has been extended to include four new AWS regions.
Collect marks and measures with the browser agent
We're excited to announce that New Relic Browser offers the ability to capture any marks and measures you are setting in your application code. Marks and measures are standard methods to observe and report on the performance of your web pages. They're generic events native to the browser and will be stored as BrowserPerformance events.