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.
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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.
Auvik Road Map Webinar - Q4 2020
Since our last roadmap update in May, we’ve released syslog, integrations with multiple new apps like ServiceNow, a new and improved application classifier in TrafficInsights to better identify your traffic mix, and a whole lot more. Now, we invite you to a sneak peek into what’s ahead for the rest of 2020 and early ‘21. Auvik VP of Product Management Patrick Albert will walk you through what’s on the Auvik development calendar and what features and functionalities you can expect to see on your dashboard in the coming months.
Tackling networking issues between users and cloud apps
By extending the capabilities of traditional network visibility, cloud adoption no longer comes at the cost of losing control over the quality of mission-critical systems. Even when employees can connect to an app from a mobile phone via places like a crowded airport Wi-Fi, with Flowmon's support of the cloud-native Packet Mirroring function, NetOps can ensure smooth service. This session will demonstrate how to identify the precise nature and origin of networking issues between your clients and apps hosted in Google Cloud Services.
A big change: Accounts
In which we discuss upgrading our quirky billing system.