What’s new on the BigPanda AIOps platform?

Before being ingested into BigPanda, the Open Integration Manager performs preprocessing functions on some complex integrations. This allows the data to be mapped appropriately to tags in BigPanda. Visibility into these functions is available within the UI.

OIM-supported integrations following addition for preprocessing functions:

• Entuity
• Cloudwatch
• Splunk
• Agent (Nagios, Icinga, Zenoss)
• OpsView
• SNMP

• We will also reduce administrative burden for IAM administrators through Just-In-Time provisioning improvements such as automatic synchronization and improved mapping capabilities with Identity Providers (IDPs) like Okta, Azure, and PingOne.

Auto-guide customers through the environment configuration process and create default environments that best support their use cases. Building a flow that aims to understand the customer’s intended work of operation and use case, and setting up environments to support it, will help us to:

• Better understand our customers and build a scalable use case base
• Create a better setup for our customers’ success
• Reduce PS hours (questioning and building environments)

• This feature lets users share a customized message to an MS Teams channel of their choice, providing flexibility in sharing useful and relevant information to incident management.

• Incident Reports: Sync historical incidents with BigPanda for MTTR analysis
• OAuth: Support for OAuth-based authentication when creating tickets from BigPanda
• Incidents: Flapping – Block Resolve toggle will only resolve a ServiceNow incident if it is not flapping
• Incidents: When tickets fail to get created in ServiceNow, Comments are now posted back to BigPanda with details
• Incidents: Update BigPanda incident tag to use HTML anchor link
• CMDB: Support for inactivating individual tables, which can be used to test the addition of new tables

This release is an improvement to the first milestone of Correlation Pattern Insights. In this milestone, we are adding the important aspects of actionability of incidents along with splits and merges. This will give customers a complete view of their Correlation Pattern effectiveness and enable them to optimize them.

The main benefits that customers will gain from this feature are:

• Being able to better understand how well their correlation patterns are executing.
• Enabling customers to improve their correlation and reduce noise.
• Accurately displaying the value generated by BigPanda correlation.

BigPanda maintenance plans set a rule to suppress alerts that match a specific condition during a scheduled time frame. They are a key tool in reducing noise during known downtimes such as scheduled maintenance or system testing.

With this new functionality, you can:

• Schedule a single plan to recur at the same time on multiple days.
• Choose to repeat a plan every day, week, or month.
• Add an end date to automatically stop the recurring plan in the future.