Hud now adds P99 and P50 duration metrics across Web graphs and MCP, giving teams clearer visibility into both typical behavior and extreme slowdowns.

Details

Duration charts now include P99 and P50 in addition to Avg and P90. These metrics are available across Issues, Endpoints, Queues, and Functions. The default view remains Avg and P90, and you can toggle P50 and P99 when deeper analysis is needed. This helps distinguish rare outliers from meaningful performance regressions.

Why It Matters

You get a more complete view of real production performance, allowing you to prioritize issues that impact users and improve reliability with confidence.

How to Access

Open any performance graph in the Hud Web App to toggle P50 and P99, or ask your agent to display these metrics in Hud MCP.

Hud's new Issues mechanism groups related events into persistent, lifecycle-tracked issues, giving teams clearer context, fewer alerts, and a more accurate view of what is happening in production.

Details

Hud now assigns stable IDs to issues, allowing each problem to be tracked from first detection through resolution. Related errors - such as HTTP 500s caused by the same underlying exception - are grouped into a single issue instead of separate alerts. The new Issues Dashboard brings these signals together across services, with filters and forensic data to help teams investigate faster. Auto-labels highlight first-time issues, spikes in error rates, and regressions tied to recent deployments. Slack alerts now fire once per issue, reducing noise while preserving visibility.

Why It Matters

By consolidating related errors into a single, persistent issue, teams gain a clearer picture of root causes, reduce alert fatigue, and accelerate time to resolution.

How to Access

Use the Issues Dashboard in Hud Web to explore and manage active issues. New grouping and alerting behavior is available immediately for projects running Node SDK v1.6.28+ or Python SDK v0.3.20+.

Hud now identifies sustained performance regressions with higher accuracy, reducing noise and highlighting slowdowns that truly matter.

Details

The updated degradation detection system analyzes hourly P90 averages with added consistency checks to avoid false positives. Alerts trigger only when regressions persist over time or when a new slowdown clearly emerges on your charts. Detection now applies to both endpoint and queue rules and compares performance day-over-day and week-over-week.

Visual improvements such as better contrast and smoothing make slowdowns easier to see and track.

Why It Matters

You get fewer noisy alerts and more reliable signals about real performance issues, helping you respond quickly and with confidence.

How to Access

Improved degradation detection is enabled by default for new alerts. To adjust thresholds or behavior, open the Rules page in Hud.

Hud now monitors both Kafka and SQS queues for errors and performance regressions, so you can catch issues earlier and keep your systems healthy.

What’s New?

• Extended all degradation rules (1d, 1w) to SQS queues
• New Queue Errors rule (SQS): detects message processing errors and points to the failing function
• New Queue Post-Deploy Degradation rule: alerts when a deployment slows down queue processing
• Forensics included in alerts to help you understand and fix issues fast

Queue rules are enabled by default, so you can benefit from them right away and catch errors and degradations as soon as they happen. You can fit rule thresholds to your needs on the Rules page.

You can now connect Slack to Hud and configure exactly where each service’s Issues appear.

After installing Hud’s Slack app and adding it to your channels, you can set up routing rules so each service’s Issues go to a dedicated Slack channel. This gives your team more control, keeps alerts relevant, and avoids noise in shared channels.

Head to your Slack settings in Hud to get started.

For more information on how to set it up, read our guide.

You can now see all Issues related to a specific endpoint directly from the Endpoint page. This provides better context and helps you troubleshoot faster - no need to filter through the general Issues page.

What’s included:

• A dedicated table showing all Issues related to the selected endpoint
• Red dot indicators on the Behavior Graph whenever an Issue with Forensics is detected

This update makes it easier to stay focused on the endpoints you care about while investigating performance or reliability issues.

We’ve launched a brand new Overview page to help you monitor and understand your services faster than ever.

What’s New

• High-level mapping summary: Instantly see how many endpoints, queues, and functions are mapped across your environment.
• Fixing Opportunities: Prioritized view of failing components with quick actions to create alerts or start an MCP investigation.
• Performance Insights:
  • Slowest Components: Identify which endpoints or functions are taking the longest.
  • Highest Error Rates: Spot stability issues with trending error data.
  • Most Invoked: See what’s running most frequently in your stack.

Why It Matters
Whether you're debugging issues, tracking changes, or just trying to stay on top of your system's behavior - the Overview page gives you a unified starting point with actionable insights.

Available now for all environments. Go to Overview from the sidebar to explore.

We're excited to share two important updates that make it easier than ever to get started with Hud:

Outlook Social Login Support
You can now sign in or sign up using your Outlook account, in addition to Gmail. This makes the onboarding process faster and more seamless for users who prefer Microsoft's ecosystem.

Access for Private Email Accounts
We've removed the restriction that previously limited access to users with business domains. Starting today, anyone with a private email (like @gmail.com, @outlook.com, etc.) can install and try Hud. This update helps more users explore Hud on their terms before committing in a professional context.

These changes are part of our ongoing effort to make Hud more accessible and user-friendly.

Hud alerts just got smarter. Starting today, production alerts for endpoint failures include a “Copy prompt to fix” button - the fastest path from detection to resolution using AI.

Hud automatically maps each endpoint failure to the exact function and exception that caused it. This context is now packaged into a structured prompt designed for AI coding agents.

Here’s how it works:

• Receive an alert in Slack with a link to the issue
• Open a web view with detailed, function-level forensic data
• Click Copy prompt to fix button to copy a pre-filled, production-aware AI prompt
• Paste it in your IDE or agent of choice - and fix it instantly

No extra configuration needed. Just actionable data, ready for resolution.

You can now select a time range directly on a graph to focus your analysis on a specific period.

Details

• Selecting a time range on a graph updates the global timeframe to match the marked window.
• The graph and page data refresh to reflect only the selected period.
• Available across graphs on Functions, Endpoints, and Queues pages.

Why It Matters

When investigating spikes or anomalies, narrowing the timeframe helps reduce context switching and keeps your analysis focused on the period that matters.

How to Access

On any supported graph, click and drag across the timeline to mark the time range you want to investigate.