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.

New Heads-Up Alert: Endpoint Error + Root Cause Analysis

Whenever your endpoint hits an HTTP 500, we’ll send a heads-up alert and highlight the downstream function causing trouble 🔍

Why it matters:

Real-time: Get notified the moment an error appears

Root Source: See which function is acting up in a glance

For more info on other alert types, check out our docs: Heads-Up Alerts Overview.

View those and stay tuned for more Heads-Up updates in Hud’s channel


"My Services" lets you configure which services you’re focusing on, so that by default you’ll only see their data across all of Hud’s products - whereas all the other services will be hidden by default.

To get started, go to the Services page and click the next to each service you’re interested in. You can easily remove this filter when viewing functions, endpoints and heads-up issues so you can view all services or specific other services.

Let’s go configure your services

Hud x JetBrains: We are proud to announce Hud's extension for JetBrains IDEs is out of beta!

You can install it now from JetBrains Marketplace.

Meet the New Head-Up Panel in your IDE

You can now see all Hud's Heads-Ups that were detected in the past week.

Navigate to the root cause function in the code directly from the heads-up. Select your service to filter the issues.

Look for the Hud logo on the left to launch it.




Introducing a shiny new alert: Post-Deployment Endpoint Degradation with Root Cause Analysis

We now automatically detect production deployments (new or updated functions) and alert on performance degradation at intervals of 2m, 10m, 30m and hourly up to 24 hours post-deployment.

Just like our classic alerts, we flag endpoints with at least 100% degradation (double the average duration) by comparing post-deployment performance to the week prior. We also pinpoint likely downstream functions causing the issue. 🔍

We’d love to hear your feedback and ideas!





Introducing Heads-Up page on the Web!

You can now view all your recent Heads-Ups in the web app or directly on your IDE!

Check out now the Heads-Up table on the web!