What it Does

What it Does

BigPanda’s Unified Search feature allows you to centralize and process alert data from all of your monitoring sources in a single place – so you don’t have to conduct parallel searches to gather relevant information.

• Streamline search: BigPanda’s powerful search technology spans multiple live incident streams, making it easy to investigate service disruptions across tools. BigPanda eliminates the need to manually combine data from individual monitoring tools or use complex and proprietary query languages to gather information.

• Search historical incidents: Unified Search allows you to easily perform post mortem reviews of major incidents. BigPanda’s robust investigation tools allow you to review all available historical data to effectively audit and take preventive measures.

• Simplify investigations: Unified Search allows IT professionals investigate system issues by surfacing complex patterns that may be hidden in your alert data. This increases system uptime and mean time between failures (MTBF).

• Accelerate MTTR: BigPanda Unified Search enables Ops teams to trace preceding incidents, changes, and related alerts so you can drastically reduce MTTR.

How it Works

How it Works

• Enhance historical search: BigPanda allows you search both active and historical alerts – even if your original monitoring tools don’t retain historical data.

• Easily access insights: BigPanda’s interface is easy for first-response support teams to use. So rather than having to be an expert user of Splunk, SolarWinds, Nagios, or other monitoring tools, IT professionals need only use BigPanda’s centralized and user-friendly search tool to access the insights they need.

• Cut down investigation time: BigPanda Unified Search allows you to use tag-based criteria which are normalized across all monitoring tools. This avoids the need to resort to generic keyword searches, which often produces a flood of results and makes investigations more time consuming.

Case in Point

Case in Point

  • Real-Time Investigation: 0 to 5 days of history
    First-response support teams need to quickly triage incidents and identify probable cause. They can do this by searching for incidents and alerts with similar properties across multiple monitoring tools. This reduces mean time to detection (MTTD) and mean time to resolution (MTTR).
  • Post-Mortem Investigation: 3 to 14 days of history
    BigPanda Unified Search allows IT professionals to review historical service disruptions and incidents in order to produce accurate and detailed post-mortem reports, determine if a problem could have been avoided, and propose process improvements.
  • Proactive Problem Management: 5 to 30 days or more of history
    Managers can use BigPanda Unified Search to identify recurring issues and patterns of events that lead to service disruptions, allowing them to proactively take steps to avoid future occurrences.

Want us to walk you through it?

Sign up for a demo presentation and we’ll schedule a one on one
Request a Demo or Try It Free