What is your primary use case for BigPanda?

In my role, I receive incidents from ServiceNow ( /products/servicenow-reviews ), which then alert me through BigPanda ( /products/bigpanda-reviews ). Once I am alerted, I receive notifications in Outlook to check the incident and its description, such as job failures or errors. I then add work notes in BigPanda ( /products/bigpanda-reviews ) and, if necessary, escalate the BigPanda incident to the L2 DB team or the shows team for further action. My main goal is to resolve issues quickly, typically within five to ten minutes, or escalate them to the appropriate level two or three team.

My actual work with BigPanda ( /products/bigpanda-reviews ) involved integrating it with Google Cloud ( /products/google-cloud-reviews ) Platform (GCP), PagerDuty, Datadog ( /products/datadog-reviews ), and Splunk. My company uses GCP for data storage and system management. We manage alerts from these systems using BigPanda ( /products/bigpanda-reviews ). The tool was configured to execute a sequence of actions when alerts are triggered, involving manual intervention to assign alerts to users and calculate SLA metrics such as Mean Time to Detect, Mean Time to Engage, Mean Time to Action, Mean Time to Escalate, and Mean Time to Resolve. Besides alert management, we used BigPanda for notification management related to maintenance deployments.

I am currently working as a troubleshooting member. I receive incidents or alerts that automatically generate incidents through ServiceNow ( /products/servicenow-reviews ). As of now, I am just using it for alert analysis.

We recently started using BigPanda for event and alert management. Our team, new to incident management, is still learning.

We use the solution for a central management console.

We use BigPanda to connect to Slack, and all our alerts from BigPanda automatically go to Slack. I'm a DevOps engineer and I believe we are customers of BigPanda.

BigPanda is used for event correlations, deduplication, suppression, and auto incident creation. Those are the basic functionalities that we were looking for.

We use this solution for alerting purposes to track the health of our infrastructure and services.

We wanted a 'one-stop-shop' for event monitoring, visualization, and infrastructure development with AI. Unfortunately, BigPanda attempts a little bit of everything and fails at most. The AI, in particular, was worthless. The visualization is primitive and not configurable. The only thing they seemed to be able to do is to collect a bunch of identical error messages into one - which is great and all, however, hardly the 'advanced AIOPS solution' they tout. The best of a bad lot was the error message deduping. We wanted a 'one-stop-shop' for event monitoring, visualization, and infrastructure DevOps with AI.

If the solution is already deployed in the customer environment, we leverage what the customer has invested in and add on to the existing environment. We use this solution for event management and correlation. We also use it for root cause analysis and SOP-based Runbook Automation. We monitor incident dragging and incident root cause analysis.

BigPanda is an endpoint protection solution against ransomware.

We use BigPanda for monitoring and management. Our servers are all configured with New Relic, which sends the data to BigPanda.

We primarily use this solution for predictive analysis and for enhancing our forecast.

We use BigPanda to aggregate alerts from multiple sources (Nagios, Sensu, Wavefront, Splunk, etc.) and correlate related alerts into incidents.