BigPanda is an incident management platform for IT, NOC, and DevOps teams. Organize, prioritize and triage your incidents faster and more intelligently than ever before. Vastly improve your team’s collaboration around Ops alerts and events. The following guide is the first in our series on getting started with BigPanda’s incident feed. This BigPanda product introduction will help you to get up and running quickly so you can get back to fixing the world’s broken stuff.
Anomaly detection for monitoring has been a trending topic in recent years. And while the math behind it is fascinating, too much of the discussion has revolved around histograms, moving averages and standard deviations. More discussion needs to happen around its practical applications, and for that reason, this practical guide to anomaly detection will attempt to provide an actionable overview of current off-the-shelf anomaly detection tools.
In many ways, incident management for devops is similar to typical issue tracking processes: it facilitates coordination and collaboration of daily tasks. For this reason, tools such as Jira, Zendesk, and even email are often used as solutions for incident management. But incident management faces one unique challenge that makes it different from other issue tracking processes. In addition to human-operated workflows, incident management also relies heavily on machine-driven workflows. Unfortunately, traditional issue trackers and ticketing systems cannot accommodate for this with their current product mechanics.