Getting Started with Collaboration and Sharing
In this video we will show how to set up the sharing of incidents from your BigPanda environments with ticketing, chat, notification and orchestration systems.
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Getting Started with Changes and Root Cause Changes
In this video we will discuss how to integrate change data with BigPanda to drive change-related root cause analysis. We call this feature Root-Cause Changes.
Getting Started with User Management
In this video we'll walk you through setting up user management and discuss Role-Based Access Control in BigPanda.
Getting Started with Integrations
When getting started with a new deployment of BigPanda, one of the first things you will be doing is bringing in all of the alerts from your various monitoring tools. This task is made easy with BigPanda's integrations, which we will discuss and walk you through in this video.
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 Environments
In this video, we'll explain how to create and use environments. Environments enable you to slice and dice your inbound incidents, display them in many different ways, and zoom into specific parts of your network, infrastructure, and applications.
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.
New Features: On-call Reports, On-call Reminder, Terraform Provider, Zapier Integration
We’re proud to introduce our latest addition to iLert’s advanced reporting capabilities. On-call reports give on-call engineers and managers insights into all-things on-call and report three metrics: The data can be filtered by data range and schedules. If a user is on two or more schedules at the same time, that time is counted once. This information can be used in various ways.
When an IT Incident Occurs at Your Company, What TV Show Does It Most Resemble?
If you’re like us, you’ve been binge-watching a lot of shows over the past few months. That got us thinking—do you ever consider your company's problem resolution process to feel like an episode of one of your favorite shows? We ran a short poll to see how IT teams would relate their incident resolution processes to popular TV shows. Here are the results. We ran a short poll to see how IT teams would relate their incident resolution processes to popular TV shows.