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2018-03-25T12:04:00Z
Julia Frohwein - PeerSpot reviewer
Senior Director of Delivery at PeerSpot (formerly IT Central Station)
  • 0
  • 6

What is your primary use case for BigPanda?

How do you or your organization use this solution?

Please share with us so that your peers can learn from your experiences.

Thank you!

6
PeerSpot user
6 Answers
CS
President at a media company with 1-10 employees
User
2022-07-21T16:18:00Z
21 July 22

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.

Anand-Kulkarni - PeerSpot reviewer
Electrical Engineer at Tata Consultancy
Real User
Top 5Leaderboard
2022-06-26T13:10:07Z
26 June 22

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.

GE
Independent entrepreneur in the IT environment at a tech services company with 51-200 employees
Real User
2021-08-12T13:12:49Z
12 August 21

BigPanda is an endpoint protection solution against ransomware.

Krishna Reddy - PeerSpot reviewer
DevOps Engineer at itorizon
Real User
2020-08-13T08:33:00Z
13 August 20

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

ZB
Global Process Owner at a pharma/biotech company with 10,001+ employees
Real User
2019-09-12T09:06:00Z
12 September 19

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

Larry Cassidy - PeerSpot reviewer
Principal Engineer, Site Operations at Workday
Vendor
2018-03-25T12:04:00Z
25 March 18

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

Find out what your peers are saying about BigPanda, Moogsoft, Zabbix and others in IT Infrastructure Monitoring. Updated: September 2022.
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BH
Principal Enterprise Systems Engineer at a healthcare company with 10,001+ employees
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Hi everyone, I'm looking to purchase an APM solution, and looking for some feedback. I've shortlisted AppDynamics, New Relic, Dynatrace, Datadog, as well as some others like Big Panda and Corelogic that might be used to bolt on as value add. I have experience with AppDynamics, Datadog and Dynatrace but not New Relic - I'm leaning towards New Relic though. I want to hear how you did your disc...
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Hani Khalil - PeerSpot reviewer
Service Assurance , Senior Manager at a computer software company with 1,001-5,000 employees
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Could you please share your requirements ? There are a lot tools can be added to the list. I spent almost 6 months to test and check many tools then I select eG enterprise.
RM
IT Technical Architect at a insurance company with 5,001-10,000 employees
20 October 20
There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitoring.  We maintain critical processing on our mainframe so there was a desire to include this in our transaction trace.  Due to a highly mature ELK implementation, we are not trying to incorporate log analytics into solution buy may consider in the future.  We had AppD, Dynatrace, New Relic, and CA Wily all in house at the time of our evaluation.  We eliminated Datadog due to a lack of real user monitoring and AppD based on experience and licensing.  Between Dynatrace and New Relic, Dynatrace won based on the automation, integrated AI, support for "old" techs, and confidence we could eliminate multiple APM and infra monitoring tools.   I would not include products like BigPanda, MoogSoft, in this analysis. They are not monitoring solutions but event correlation solutions.  You will need additional monitoring products to capture data and feed them.  Having said that if you cannot consolidate tools you will likely need to purchase an event solution to make sense of all the alarms. We did evaluate these products but with Dynatrace AI did not feel the business value was there for the investment. Here's a quick pro/con list on Dynatrace & New Relic from our analysis. New Relic Pros: Insights is an awesome product and capability. Lots of capabilities and plugins to extend data collection. The APM dashboard is aesthetically pleasing and intuitive. Good training and documentation are available to support the product. New Relic Cons: Requires lots of manual configurations to implement and support.  Insights product requires an investment of time to achieve value. Licensing is a nightmare as there is virtually no transparency in what you are being charged for. Lack of solution to consolidate alerts across implementation other than significant investment in insights to manually achieve this.   Dynatrace Pros: Very simple to implement and maintain with out of the box automation which supports modern (cloud/Kubernetes) and "old" (mainframe). In-app chat is helpful.  High integration of infra and APM data for full-stack observability and engineering.  Topology and trace discovery is more reliable than other products or our CMDB.  Synthetics are easy to set up for any user. AI-assisted problem analysis on the trace discovery streamlines troubleshooting.  AI includes "events" in an analysis like VMotion, deployment events. Have not done yet but looking to leverage monitoring as code for a fully integrated and automated delivery pipeline. See keptn.sh open source project. Dynatrace Cons: User SQL lacks some functions of NRQL for user analysis.  Host, process, and service data is not available to query within the product.  Alarm processing lacks some granular controls. The Plug-in library is less robust. Good luck with your decision!
Randall Hinds - PeerSpot reviewer
Program Manager - Enterprise Command Center at a financial services firm with 10,001+ employees
Jul 22, 2016
Looking for any comparative details for Event & Incident Analysis engines, such as Moogsoft's solution. De-duplication of Event messages and automated isolation to upstream incidents/events seems promising.
2 out of 28 answers
PeerSpot user
Sales Manager Middle East & North Africa (MENA) at TIBCO Software Inc.
26 May 16
http://www.tibco.com/products/event-processing/loglogic-for-machine-data
PeerSpot user
Entrepreneur and C-level Advisor at a consultancy
26 May 16
Sorry Ariel, Not my exact area. Best regards, Deepak
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