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Using BigPanda and ServiceNow to prevent and resolve outages

BigPanda augments ServiceNow and helps IT Ops teams work more efficiently in modern IT Stacks, reducing MTTR by 40% or more. By using BigPanda and ServiceNow together, IT Ops teams are provided with real-time service mapping for dynamic infrastructures, can easily reduce and automate ServiceNow ticketing, and are able to surface the root cause changes affecting their continuous delivery.

Getting Started with BigPanda - Overview

Welcome to the first installment of the Getting Started with BigPanda video series. BigPanda’s "No Experts Required" setup can be broken down into six steps: Out of the box integrations (outbound and inbound), normalization and enrichment, correlation, environments, collaboration & sharing and user management. In this video we will provide an overview of each, and subsequent videos will provide more in-depth information into each area.

Getting Started with Normalization and Enrichment

In BigPanda, normalization is the translation of payloads from different systems into a consistent taxonomy. Enrichment is the process of adding context to the alerts by associating them with relevant information such as topology maps, runbook links, metadata and more. In this video we are going to walk you through a powerful technique for normalizing & enriching alerts called Custom Tags.

Getting Started with Correlation

Correlation is a method of grouping related monitoring alerts into a single high-level incident. In this video, we'll explain how BigPanda utilizes pattern recognition to automatically detect which alerts are likely related; correlates them into high-level, actionable incidents; and allows you to see, edit and test the correlation patterns before going into production.