Something that comes to mind regarding improvements is communication, as I rely heavily on another tool. If BigPanda could provide communication capabilities beyond just sending notifications—such as creating a war room style of notification, creating channels, getting people on calls, and opening a bridge—I would prefer functionalities similar to PagerDuty within the tool.
There is room for improvement in BigPanda, and I believe they are fixing this. Agentic operations exist in these types of tools, and companies are catching up. Logic Monitor has a slightly different and better version of agentic AI. BigPanda has that on their roadmap, and I saw their kickoff where they explained what they are doing to enhance it. I believe that by the end of this year, improvements will be in place.
System Operation Associate at a financial services firm with 10,001+ employees
Real User
Top 5
Apr 29, 2025
It would be beneficial for BigPanda to offer detailed error descriptions similar to what AppDynamics and ThousandEyes ( /products/thousandeyes-reviews ) provide. Currently, I can only add notes and notify the L2 team, but having more precise error data in BigPanda would enable me to resolve issues more quickly and efficiently.
Engineer - Cloud and Infrastructure Services at a tech vendor with 10,001+ employees
Real User
Top 20
Apr 24, 2025
The key feature that requires improvement is AI integration. If BigPanda could integrate AI, it would enhance the platform significantly by offering chatbot functionality within the BigPanda UI. This would help end users understand alert enrichment, configurations, alert noise, alert behavior, and alert statistics.
BigPanda ( /products/bigpanda-reviews ) sometimes creates false incidents and workarounds, causing financial disturbances because we pay for each incident. These false incidents can lead the whole team to focus on them only to find out it was a glitch. A 'deep dive' analysis feature would be appreciated to give detailed insights such as CPU usage and disk space analysis. Improved accuracy in alert generation would also be beneficial.
Program Manager at a tech vendor with 10,001+ employees
Real User
Mar 23, 2024
BigPanda could improve by syncing its threshold settings with Dynatrace to align with users' familiarity. This would reduce manual effort in analyzing alerts. Automation is needed to distinguish real incidents from false alarms. Additionally, better synchronization with configuration management for server status updates is necessary. Currently, the system is evolving, requiring time to stabilize, given the newness of the tools and technologies being adopted.
We'd like to see additional dashboard features included as part of the solution. What we currently have doesn't show if there is any utilization and how much memory is there.
Automation Solution Architect at a tech services company with 10,001+ employees
Real User
Sep 20, 2022
BigPanda can improve the correlations. We didn't see any big value. It is still good at the same event deduplication, event processing, and ticket creation, but I was more looking at event analysis and event correlation. In that area, it is still no big difference between the other solutions on the market. All of them, are in the same immature stage.
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.
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.
Global Process Owner at a pharma/biotech company with 10,001+ employees
Real User
Sep 12, 2019
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.
Principal Engineer, Site Operations at a tech vendor with 5,001-10,000 employees
Real User
Mar 25, 2018
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.
BigPanda enhances incident management through root cause analysis, alert deduplication, and event correlation. The AI-driven platform is designed for environments with high alert volumes, providing insights for data-driven decisions and seamless integration with tools like ServiceNow and Teams.BigPanda addresses the complexities of incident management by offering an AI-focused approach to anomaly detection. Automation improves response times, while unified analytics supports informed...
Something that comes to mind regarding improvements is communication, as I rely heavily on another tool. If BigPanda could provide communication capabilities beyond just sending notifications—such as creating a war room style of notification, creating channels, getting people on calls, and opening a bridge—I would prefer functionalities similar to PagerDuty within the tool.
There is room for improvement for the BigPanda solution.
There is room for improvement in BigPanda, and I believe they are fixing this. Agentic operations exist in these types of tools, and companies are catching up. Logic Monitor has a slightly different and better version of agentic AI. BigPanda has that on their roadmap, and I saw their kickoff where they explained what they are doing to enhance it. I believe that by the end of this year, improvements will be in place.
It would be beneficial for BigPanda to offer detailed error descriptions similar to what AppDynamics and ThousandEyes ( /products/thousandeyes-reviews ) provide. Currently, I can only add notes and notify the L2 team, but having more precise error data in BigPanda would enable me to resolve issues more quickly and efficiently.
The key feature that requires improvement is AI integration. If BigPanda could integrate AI, it would enhance the platform significantly by offering chatbot functionality within the BigPanda UI. This would help end users understand alert enrichment, configurations, alert noise, alert behavior, and alert statistics.
BigPanda ( /products/bigpanda-reviews ) sometimes creates false incidents and workarounds, causing financial disturbances because we pay for each incident. These false incidents can lead the whole team to focus on them only to find out it was a glitch. A 'deep dive' analysis feature would be appreciated to give detailed insights such as CPU usage and disk space analysis. Improved accuracy in alert generation would also be beneficial.
BigPanda could improve by syncing its threshold settings with Dynatrace to align with users' familiarity. This would reduce manual effort in analyzing alerts. Automation is needed to distinguish real incidents from false alarms. Additionally, better synchronization with configuration management for server status updates is necessary. Currently, the system is evolving, requiring time to stabilize, given the newness of the tools and technologies being adopted.
We had to use a partner for the deployment.
We'd like to see additional dashboard features included as part of the solution. What we currently have doesn't show if there is any utilization and how much memory is there.
BigPanda can improve the correlations. We didn't see any big value. It is still good at the same event deduplication, event processing, and ticket creation, but I was more looking at event analysis and event correlation. In that area, it is still no big difference between the other solutions on the market. All of them, are in the same immature stage.
The UI for this solution could be improved. It is very hard to find what you are looking for.
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.
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.
The solution could improve by having better integration.
The cost of this product is too high compared to New Relic. It would be helpful if we could receive alerts through IP.
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.
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.