BigPanda provides a data science platform for automating IT event correlation and incident response, helping IT teams detect and resolve critical issues. IT teams can now manage the overwhelming scale and complexity of today’s systems through automated aggregation, correlation, and suppression of noisy alerts. BigPanda correlates alerts from heterogeneous monitoring infrastructure, applications, clouds, containers, services and servers, to automatically turn them into actionable insights.
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BigPanda’s Incident 360 Console is the “single pane of glass” for IT operations teams. The console allows them to easily see and investigate incidents, analyze their impact, determine their root cause and take action on them, as well as collaborate with other team members to simplify their resolution – all from one screen.
BigPanda Automatic Incident Triage automates and shortens the triage phase of your incident management lifecycle.
BigPanda’s Root Cause Analysis (RCA) capability uses Open Box Machine Learning to help organizations identify changes in infrastructure and applications that cause the majority of today’s incidents and outages. Additionally, BigPanda identifies low-level infrastructure issues that cause problems. By harnessing the power of AIOps, BigPanda is able to pinpoint the root cause of incidents and outages in real-time. The result is tangible in both revenue and SLAs, by helping IT Ops rapidly resolve incidents and outages.
Trusted by some of the most demanding organizations in the world, including Intel, United Airlines and Turner Broadcasting, BigPanda AIOps is the fastest, most effective and least-disruptive way to adopt AIOps. Powered by Open Box Machine Learning, BigPanda correlates IT noise into insights, automates incident management and unifies fragmented IT operations. Overwhelmed and understaffed IT Ops and NOC teams use BigPanda to detect, investigate and resolve IT incidents faster and more easily than ever before.
IT Ops execs and service owners in most enterprises want to be able to quickly and easily report on application and service uptime and performance, IT Ops and Network Operations Center (NOC) team performance, and incidents by source, severity and other parameters. But in order to accomplish this, most IT Ops teams waste precious hours every week, wrangling with spreadsheets and general-purpose reporting tools that are hard to use and keep up to date. IT Ops teams also struggle with not having the right data, relying on the wrong data, and focusing on the wrong metrics.
Featured Case Studies
TiVo’s stated objective is to proactively detect and resolve issues before its customers are impacted. But the non-stop pace of digital innovation required to support its ‘Ultimate Entertainment Experience’ mission meant that TiVo’s IT Ops team had to first solve the challenges that come with ever-increasing IT complexity.
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