Here's what's cooking at Honeybadger.
Our documentation site now loads significantly faster with improved search capabilities—including Command-K navigation and automatic llms.txt generation that helps AI tools better understand and reference Honeybadger's docs.
We also gave the docs a light visual update:
Visit docs.honeybadger.io to see for yourself!
Need to ensure your redirects point to the right place? Want to confirm your API returns the correct content type? You can now add response header checks to your uptime monitors.
This feature lets you verify that specific HTTP response headers contain expected values—perfect for validating redirects, content types, and other critical header information.
Location header points to the correct URLContent-Type contains application/json or other expected values 
Available immediately for all Honeybadger accounts. Check out the docs for more details.
Traditional APM tools bury you in dashboards you'll never use. Meanwhile, the things you actually care about—such as signups, payment failures, and that one background job that keeps timing out—require complex custom instrumentation. That's backwards.
We're making it easier to build custom dashboards that adapt to your workflow. Start with smart defaults for your stack, then customize everything to track what matters most to your product and business.
We added an intelligent overview dashboard to every project that we configure automatically based on your stack. Are you using Rails? You'll see Rails-specific performance metrics, including slow controller actions, queries, and response codes. Running Phoenix? Get Ecto query performance and LiveView metrics. It's a great way to get a high-level view of your project, including errors, performance, uptime checks, and more.
Honeybadger's new default Project Overview dashboard
To tie it all together, we added five new Honeybadger-specific widgets to give you quick access to:
These widgets appear on the default project overview dashboard by default, but they're also available in the new widget library to add to your other dashboards a la carte.
You can now quickly switch between your dashboards and discover new ones with a new dropdown menu that recommends automatic dashboards for your application. If you're using Sidekiq in Ruby or Oban in Elixir, for example, you can add those dashboards to your project with one click. We currently have automatic dashboards for popular tools and frameworks in Ruby, PHP, Elixir, and Python, with more on the way.
Recommended dashboards for a Rails project in Honeybadger
You can also now change your default project dashboard and star your favorite dashboards to pin them to the top of the list. We've been using these new dashboards internally to monitor Honeybadger, and it's been a big improvement to our daily workflow.
Need something more unique? We also made it easier to build your own dashboards. You can now create and edit widgets without leaving the dashboard you're working on. Click any widget to expand the inline query editor, make your changes, and see the results instantly.
Honeybadger's inline widget configuration and query editor
When creating new widgets, choose from a widget library of pre-configured templates for common data sources:
Honeybadger's drag and drop widget library
We're particularly excited about this change because as we add new automatic dashboard templates, the widget library will grow. More to come!
The new project overview dashboard and UI enhancements are available immediately for all Honeybadger accounts. Head on over to your Honeybadger project and click on the "Dashboards" tab to get started. For details related to your application framework, see our announcements for Ruby, Laravel, Elixir, and Python.
Honeybadger now offers automatic performance dashboards for Django, Flask, and Celery applications. Just like our Ruby, PHP, and Elixir dashboards, HB's Python performance dashboards provide instant visibility into your Python apps with zero-configuration instrumentation, plus direct access to transform, query, and alert on the underlying data.
Our Python performance monitoring builds on Honeybadger Insights to automatically capture telemetry from your applications, then presents it through curated dashboards that highlight performance trends and bottlenecks.
Honeybadger automatically instruments popular Python frameworks to capture detailed performance events, including HTTP requests, database queries, and background job metrics. This telemetry feeds directly into your dashboards, but you also query and analyze the raw data using BadgerQL—and even create alerts for specific events and metrics.
If you already use Honeybadger, all you need to do is upgrade your Honeybadger Python package and enable Insights in your config. For new setup instructions, see our integration guides for Django, Flask, and other Python frameworks.
Python performance monitoring is now available for all Honeybadger accounts, with flexible usage-based pricing options. Check out the announcement blog post to learn more and see the dashboards in action.
When querying notice events in Honeybadger Insights, you can now click on the fault_id or ulid fields to jump directly to the corresponding error—making it faster to investigate issues.
Here's how to try it:
Navigate to the Insights tab in your Honeybadger project
Run this query to find the notice events:
fields @ts, @preview
| filter event_type::str == "notice"
| sort @ts
If you don't see events, ensure you have selected the internal stream and a sufficient time window in which errors have occurred.
Expand an event to view its details
Click the fault_id or ulid value, then Go to Error
The fault_id action links directly to the error page in Honeybadger. The ulid action links to the error page, scoped to the occurrence matching the current notice event.
This works for all notice event types and helps connect your data analysis workflow with error investigation.
See the docs to learn more about error monitoring and Honeybadger Insights.
You can now export your error details and stack traces as Markdown files—useful for creating documentation, sharing with team members who don't have Honeybadger access, or integrating with AI-workflows.
Here's how to export an error as Markdown:
The .md file download includes the error summary, stack trace, environment details, and breadcrumbs formatted in standard Markdown syntax compatible with GitHub, Notion, Google Docs, and other Markdown-capable tools.
Account owners can now require multi-factor authentication (also known as two-factor authentication, 2FA, or MFA) for all users—useful for compliance and to improve account security.
Here's how to configure it:
Honeybadger supports two-factor authenticator apps such as Authy, Google Authenticator, and 1Password.
When you require multi-factor authentication, we'll notify the users who need to set it up via email, and prompt them to enable it on their next login.
See the Honeybadger docs to learn more about managing users in Honeybadger.
We're excited to announce a new timeout configuration option for uptime checks! This feature gives you more control over how long your uptime checks wait for responses from your endpoints.
With a custom timeout value for each uptime check, you can:
When an uptime check exceeds your configured timeout, it will be marked as failed, helping you identify performance issues that don't meet your requirements.
This feature is available now on Business and Enterprise tiers. Other tiers will continue to use the default timeout of 30 seconds.
To configure timeout settings for your uptime checks:
The timeout configuration will take effect immediately for new check runs.
The Linear integration can now link Honeybadger errors to existing Linear issues—useful for preventing duplicate issues when an error corresponds to work that's already in progress.
When viewing an error in Honeybadger, here's how to link it to an existing Linear issue:
Honeybadger searches within your configured Linear project and displays matching issues with their titles and issue numbers.
Once linked, you can jump to the Linear issue directly from the error actions, and (when enabled) Honeybadger will keep the error status in sync when you close or re-open the issue.
Your clients and coworkers are already asking about Honeybadger when they see how smoothly your apps run. Now when they sign up, you can earn credits towards your own account.
Our new customer referral program gives you up to 20% of referred revenue as credit towards your bill. Refer a company paying $200/month and earn up to $40/month in credits—enough to cover a full $26/month team account with room to grow.
When you join:
Monthly credits apply as long as both accounts remain active; one workplace referral could cover you indefinitely. Note: Credits don't roll over, so use them each month or lose them.
Available immediately for all Honeybadger accounts. Read the full announcement to learn more.
