Operations | Monitoring | ITSM | DevOps | Cloud

Virtana Platform Demo Launch

The Virtana Platform’s embedded intelligence leverages machine learning and advanced data analytics to provide you with a deep understanding of application workloads so you can make data-driven decisions about their cloud migration. The platform is cloud agnostic so you can unify workload migration, optimization, and management across all the leading public cloud providers to meet your workload performance and cost requirements.

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.