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2018-03-25T12:04:00Z
Miriam Tover - PeerSpot reviewer
Service Delivery Manager at PeerSpot (formerly IT Central Station)
  • 0
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What needs improvement with BigPanda?

Please share with the community what you think needs improvement with BigPanda.

What are its weaknesses? What would you like to see changed in a future version?

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

Honestly, all areas can use major improvement. We wanted a 'one-stop-shop' for event monitoring, visualization, and infrastructure DevOps with AI. BigPanda attempts a little of everything and fails at most. The AI, in particular, was worthless, the visualization primitive and not configurable.

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

The observability can be enriched with regards to infrastructure and the application-integrated environment. The dashboard and reports could be improved. A more integrated multi-cloud environment with regards to Azure, Amazon, Google, and the on-prem solution would be a big advantage.

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

The solution could improve by having better integration.

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

The cost of this product is too high compared to New Relic. It would be helpful if we could receive alerts through IP.

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

The usability needs to improve because it is a pure code environment. It would be good if they could have a pre-designed code like the new tools that are in the market now. UiPath, for example, offers drag and drop. If this feature can be added, I think it will be a breakthrough. It will completely change the solution and attract even seasonal coders and make it more valuable.

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

Our infrastructure is quite large - tens of thousands of servers, often with 30-plus checks running on each host with one minute intervals. This generates a lot of data often in bursts (when we have a large scale failure). This has caused some delay in the ingestion pipeline.

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Related Questions
BH
Principal Enterprise Systems Engineer at a healthcare company with 10,001+ employees
Dec 08, 2020
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...
2 out of 5 answers
Hani Khalil - PeerSpot reviewer
Service Assurance , Senior Manager at a computer software company with 1,001-5,000 employees
20 October 20
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!
Miriam Tover - PeerSpot reviewer
Service Delivery Manager at PeerSpot (formerly IT Central Station)
Jul 21, 2022
Hi Everyone, What do you like most about BigPanda? Thanks for sharing your thoughts with the community!
2 out of 6 answers
Larry Cassidy - PeerSpot reviewer
Principal Engineer, Site Operations at Workday
25 March 18
Alert aggregation was the primary requirement. BigPanda pulls all this together into a single UI for us, allowing us to see related alerts grouped together into an incident, and enables us to easily create a JIRA ticket and Slack channel to manage an issue.
ZB
Global Process Owner at a pharma/biotech company with 10,001+ employees
12 September 19
The program is very stable.
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