Release Notes

Customers who have the Advanced Insight Module can now see recommended incident actions as part of the Automated Incident Analysis. These AI-generated recommendations suggest incident tags based on similar incidents from the past 30 days. The default tags used are priority and assignee.

See the Similar Incidents documentation for more information.

You can now sort the environments list Alphabetically or by Creation date, making it easier to find what you need.

To sort the list, navigate to the upper right corner of the Environments pane and click the Sort button.

It is now easier than ever to see at a glance when an incident has entered the flapping state.

The new flapping icon now appears in the incident feed, alerts table, activity feed, and in the incident timeline.

The Unified Search screen has a new look and feel to make searching for incidents easier than ever:

New Unified Search UI

Biggy AI brings you AI-powered incident management by uncovering hidden data, transforming it into insights, and delivering it in natural language. Biggy AI accelerates incident investigation by combing through infrastructure data and knowledge to surface highly relevant insights that help the team make smarter decisions, improve productivity, and scale incident management.

The features below are only available to organizations using Biggy AI. If you are interested in purchasing Biggy AI, contact your BigPanda account team.

The BigPanda Docs site is getting a fresh new look. On February 14, 2025 we will migrate to a new site, providing you with an upgraded experience. This upgrade includes:

The Okta and Microsoft Entra ID SSO integrations with BigPanda soon will have built-in support for System for Cross-Domain Identity Management (SCIM), allowing you to easily handle the user lifecycle management process. As users onboard, offboard, or change roles, you will be able to provision or deprovision BigPanda accounts from within Okta or Microsoft Entra ID, saving you time and effort.

An additional permission type will soon be available that provides more granular control for environments. Users assigned the Edit environment settings permission will be able to edit the specific environment’s settings or filters, but not create, duplicate, or delete environments.

Updates are coming soon to the Environment creation screen. This update includes:

To help improve API key management and access control, you will soon be able to create service accounts in BigPanda.

Service accounts are used to create API keys for a specific application or service within your organization. These keys aren't associated with a BigPanda user account and do not need to be changed or recreated if a user leaves your organization.

Soon you will be able to compare configuration changes between BigPanda organizations right in the console Settings page.

The new page will allow you to track changes between organizations such as sandbox and production, showing you differences in the roles, alert enrichment, environments, environment groups, and alert correlation settings.

The Event Processing dashboard in Unified Analytics will soon be updated to reflect the latest data model. Several upgrades will be made to this dashboard including:

Your BigPanda credit usage will soon be easier to track with the new Credit Utilization Dashboard in Unified Analytics. This standard dashboard will show you how many credits you have used along with the amount you have remaining, and give you insights into your usage trends.

Organizations using the Advanced Insight Module will soon be able to easily customize their Automated Incident Analysis summaries.

The new settings page will allow you to control which alert tags are used to create the analysis, set up instructions for how the LLM handles analyses, and choose which incident tags should be used for action recommendations.

The Problem Identification dashboard will soon be available in Unified Analytics. This dashboard clusters historic similar incidents to help identify recurring issues, then uses AI to summarize each cluster.

This can help you determine how to prioritize specific clusters based on frequency or impact and find potential root causes of recurring issues based on similarities or find potential candidates for automation.